{"id":7057,"date":"2020-12-06T17:55:31","date_gmt":"2020-12-06T16:55:31","guid":{"rendered":"https:\/\/www.teoresigroup.com\/artificial-intelligence\/"},"modified":"2025-06-04T11:39:47","modified_gmt":"2025-06-04T09:39:47","slug":"artificial-intelligence","status":"publish","type":"page","link":"https:\/\/teoresi.sixeleven.it\/it\/insight\/artificial-intelligence\/","title":{"rendered":"Intelligenza Artificiale"},"content":{"rendered":"\n\t\n\t\n\t\t<div id=\"block_1ca954c79b3f547c8d217baf59499338\" class=\"hero-image\">\n\t\t\t<div class=\"image-hero-container row expanded isdark\">\n\n\t\t\t\t\t\t\t\t\t<div class=\"top absolute z-10 pin-t pin-l xsmall-pt-4 xsmall-pl-4 small-pt-6 small-pl-6 pt-12 pl-12\">\n\t\t\t\t\t\t<span class=\"toptitle color-white title-line orange\">page<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t<!-- Icona centrale per small -->\n\t\t\t\t<div class=\"hero-icon middle hide-for-medium absolute z-10 pin-l xsmall-pl-4 small-pl-6 pl-12\">\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t<!-- Blocco Icona + Titolo per medium-up -->\n\t\t\t\t<div class=\"bottom show-for-medium z-10 absolute pin-b pin-l xsmall-pb-4 xsmall-pl-4 pb-12 pl-12\">\n\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t<h1 class=\"hero-title title mb-0 dot-after\">Intelligenza Artificiale<\/h1>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h2 class=\"subtitle h4 mt-2 color-grey-lighter\">Quanto dista il futuro?<\/h2>\n\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<!-- Versione senza parallasse -->\n\t\t\t\t\t<div class=\"hero-bg bg-img b-lazy\" data-src = \"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2025\/06\/hero-new-ai.jpg\" ><\/div>\n\n\t\t\t\t\n\t\t\t\t<div class=\"hero-filter\"><\/div>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\n\t\t<!-- Titolo fuori Hero per small -->\n\t\t<div class=\"row sezione hide-for-medium\">\n\n\t\t\t<div class=\"column\">\n\t\t\t\t\t\t\t\t\t<h1 class=\"hero-title title mb-0 dot-after\">Intelligenza Artificiale<\/h1>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<h2 class=\"subtitle h4 mt-2\">Quanto dista il futuro?<\/h2>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t<\/div>\n\n\t\n\n\n\r\n    \r\n    <div id=\"block_941a3872068d4159b6b3cda9054e50c5\" class=\"breadcrumbs row sezione\">\r\n        <div class=\"column small-12 fs-xsmall\">\r\n            <span><span><a href=\"https:\/\/teoresi.sixeleven.it\/it\/\"><span class=\"tg-homepage-icon\"><\/span><\/a><\/span><\/span>        <\/div>\r\n    <\/div>\r\n\r\n\n\n\r\n    <div id=\"block_3d1f6f3983467bd88126c70b1866b92d\" class=\"row sezione mt-8 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                                        <span class=\"title h2 fw-700 mb-2\">Che cos\u2019\u00e8 l\u2019Intelligenza Artificiale<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n\r\n    \r\n    <div id=\"block_c6c5f91cbc3f1a8f817c591633a53e42\" class=\"page-index row sezione mt-16 mb-16 bg-grey-lightest\">\r\n\r\n        <div class=\"column small-12 medium-6 text-center\">\r\n            <span class=\"h5 color-black title-line\">Summary<\/span>\r\n        <\/div>\r\n\r\n        <div class=\"column small-12 medium-6\" style=\"border-left: 1px solid #d1d1cd;\">\r\n                            <ul class=\"check page-index\">\r\n                                            <li>\r\n                            <a class=\"fw-400\" href=\"#disciplines\">Discipline scientifiche<\/a>\r\n                        <\/li>\r\n                                            <li>\r\n                            <a class=\"fw-400\" href=\"#hollywood\">Quando Hollywood anticipa la realt\u00e0<\/a>\r\n                        <\/li>\r\n                                            <li>\r\n                            <a class=\"fw-400\" href=\"#changed\">Come cambia il mondo con l&#8217;Intelligenza Artificiale<\/a>\r\n                        <\/li>\r\n                                            <li>\r\n                            <a class=\"fw-400\" href=\"#applications\">Applicazioni di Intelligenza ArtificIale<\/a>\r\n                        <\/li>\r\n                                            <li>\r\n                            <a class=\"fw-400\" href=\"#future\">Scenari: oggi e il futuro<\/a>\r\n                        <\/li>\r\n                                    <\/ul>\r\n                    <\/div>\r\n\r\n    <\/div>\r\n\r\n\n\n\r\n    <span class=\"block p-4\">&nbsp;<\/span>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\n<p class=\"wp-block-studio42-paragraph-lead lead text-none\">La nascita dell\u2019Intelligenza Artificiale viene ufficialmente fatta risalire all\u2019avvento dei computer, nel 1956 (anche se fu teorizzata qualche anno prima da Alan Turing (link alla timeline) nella rivista <em>Computing Machinery and Intelligence<\/em>. Pu\u00f2 essere definita come quel ramo dell\u2019informatica che abilita in una macchina capacit\u00e0 computazionali e logiche solitamente considerate tipiche del genere umano, come la capacit\u00e0 decisionale, la percezione spazio-temporale dell\u2019ambiente in cui la macchina si trova e la capacit\u00e0 di riconoscere immagini ed oggetti. A permetterlo sono la programmazione e la progettazione sia a livello hardware che software.<\/p>\n\n\n<p class=\"wp-block-studio42-paragraph text-none\">La macchina va dunque oltre la semplice capacit\u00e0 di calcolo o di riconoscimento\/elaborazione dei dati, ma mostra esempi di altre forme di \u201cintelligenza\u201d, come quelle indicate da Howard Gardner nel suo saggio \u201cFrames of Mind\u201d nel 1983. La sua Teoria delle Intelligenze Multiple si basa sull\u2019idea che tutti gli esseri umani possiedano almeno sette forme di \u201crappresentazione mentale\u201d, dall\u2019intelligenza spaziale a quella sociale, da quella cinestetica a quella introspettiva. Le macchine che nascono in ambito AI sono in grado di riprodurre proprio queste tipologie di intelligenze.<br\/><br\/>Pi\u00f9 recentemente, la Commissione Europea tramite il suo team dedicato (vedi box) ha proposto questa definizione (aprile 2018):<br\/><br\/>\u25cf\u00a0\u00a0\u00a0\u00a0\u00a0 L&#8217;intelligenza artificiale (AI) si riferisce a sistemi che mostrano un comportamento intelligente e che sono in grado di analizzare il loro ambiente e intraprendere azioni &#8211; con un certo grado di autonomia &#8211; per raggiungere obiettivi specifici.<br\/>\u00a0<br\/>\u25cf\u00a0\u00a0\u00a0\u00a0\u00a0 I sistemi di intelligenza artificiale possono essere puramente software (ad es. Assistenti vocali, software di analisi delle immagini, motori di ricerca, sistemi di riconoscimento vocale e facciale) o AI integrati in dispositivi hardware (ad es. robot avanzati, auto autonome, droni o sensori intelligenti).<\/p>\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n<\/div>\n\n<\/div>\n\n\n\r\n    \r\n    <div id=\"disciplines\" class=\"bookmark row mt-16 mb-8 \">\r\n        <div class=\"column small-12 text-center relative overflow-hidden height-8\">\r\n            <div class=\"absolute align-self-xy\">\r\n                <svg class=\"height-8\"viewBox=\"0 0 860 26\" version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\">\r\n                 <defs> <rect id=\"path-1\" x=\"0\" y=\"0\" width=\"860\" height=\"15\"><\/rect> <filter x=\"-1.3%\" y=\"-76.7%\" width=\"102.7%\" height=\"253.3%\" filterUnits=\"objectBoundingBox\" id=\"filter-2\"> <feGaussianBlur stdDeviation=\"6.5\" in=\"SourceAlpha\" result=\"shadowBlurInner1\"><\/feGaussianBlur> <feOffset dx=\"0\" dy=\"-10\" in=\"shadowBlurInner1\" result=\"shadowOffsetInner1\"><\/feOffset> <feComposite in=\"shadowOffsetInner1\" in2=\"SourceAlpha\" operator=\"arithmetic\" k2=\"-1\" k3=\"1\" result=\"shadowInnerInner1\"><\/feComposite> <feColorMatrix values=\"0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0355659965 0\" type=\"matrix\" in=\"shadowInnerInner1\"><\/feColorMatrix> <\/filter> <linearGradient x1=\"91.2120162%\" y1=\"100%\" x2=\"50%\" y2=\"100%\" id=\"linearGradient-3\"> <stop stop-color=\"#FFFFFF\" stop-opacity=\"0\" offset=\"0%\"><\/stop> <stop stop-color=\"#FFFFFF\" offset=\"100%\"><\/stop> <\/linearGradient> <\/defs> <g id=\"DESKTOP\" stroke=\"none\" stroke-width=\"1\" fill=\"none\" fill-rule=\"evenodd\"> <g id=\"INSIGHT-\/-Smart-Mobility\" transform=\"translate(-290.000000, -6030.000000)\"> <g id=\"bookmark\" transform=\"translate(290.000000, 6030.000000)\"> <g id=\"Rectangle\" fill=\"black\" fill-opacity=\"1\"> <use filter=\"url(#filter-2)\" xlink:href=\"#path-1\"><\/use> <\/g> <rect id=\"Rectangle\" fill=\"url(#linearGradient-3)\" x=\"0\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <rect id=\"Rectangle-Copy-8\" fill=\"url(#linearGradient-3)\" transform=\"translate(767.000000, 7.500000) rotate(-180.000000) translate(-767.000000, -7.500000) \" x=\"674\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <path d=\"M436.4,25.9075082 C436.253253,25.9079413 436.111436,25.854235 436.001375,25.7565483 L431,21.2809649 L425.998627,25.7565483 C425.821822,25.9147198 425.569174,25.9535765 425.353499,25.8557674 C425.137825,25.7579583 424.999386,25.5417421 425,25.3036687 L425,11.4153583 C425.001449,10.0819963 426.075118,9.00145598 427.400002,9 L434.6,9 C435.924884,9.00145598 436.998553,10.0819963 437,11.4153583 L437,25.3036687 C437,25.6371601 436.731371,25.9075082 436.4,25.9075082 Z\" id=\"Path\" fill=\"#EA6A11\" fill-rule=\"nonzero\"><\/path> <\/g> <\/g> <\/g><\/svg>\r\n            <\/div>\r\n        <\/div>\r\n    <\/div>\r\n\r\n\r\n\n\n\r\n    <div id=\"block_af224d4799534928d3bcc4a22e4dd327\" class=\"row sezione mt-4 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                                        <span class=\"title h3 fw-700 mb-2 dot-after\">Discipline Scientifiche<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\n<p class=\"wp-block-studio42-paragraph text-none\"><br\/>\u25cf\u00a0\u00a0\u00a0\u00a0\u00a0 Reasoning and Decision Making<br\/>\u25cf\u00a0\u00a0\u00a0\u00a0\u00a0 Learning<br\/>\u25cf\u00a0\u00a0\u00a0\u00a0\u00a0 Robotics<\/p>\n\n<figure class=\"wp-block-figure is-style-default\" style=\"\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/humanbody-ita.svg\" data-size=\"0x0\" ><img decoding=\"async\" class=\"b-lazy wp-block-image \" style=\"\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/themes\/FoundationPress\/studio42\/img\/loader-640-free.svg\" itemprop=\"thumbnail\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/humanbody-ita.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/humanbody-ita.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/humanbody-ita.svg\" alt=\"humanbody-ita\" width=\"100%\" height=\"100%\" \/><figcaption class=\"image-caption block\"><\/figcaption><\/figure>\n<\/div>\n\n<\/div>\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\r\n    <div id=\"block_5fcd154443e5f\" class=\"row sezione mt-4 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                                        <span class=\"title h3 fw-700 mb-2 dot-after\">Componenti di un sistema di Intelligenza Artificiale<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Sensori per la percezione dell&#8217;ambiente<\/strong><\/td><td>Ad esempio fotocamere, microfoni, una tastiera o altri dispositivi di input, nonch\u00e9 sensori fisici per misurare ad esempio temperatura, pressione, distanza.&nbsp; Ad un sistema di AI occorrono sensori adeguati per percepire i dati presenti nell&#8217;ambiente che risultano rilevanti per l&#8217;obiettivo assegnato.<\/td><\/tr><tr><td><strong>Algoritmi di elaborazione e algoritmi decisionali<\/strong><\/td><td>I dati che sono stati catturati dai sensori vengono processati dal modulo di ragionamento della AI, che li utilizza per compiere l&#8217;azione corretta in base all&#8217;obiettivo da raggiungere. I dati diventano informazioni.<\/td><\/tr><tr><td><strong>Attuazione della decisione<\/strong><\/td><td>Decisa l&#8217;azione, il sistema AI attiva gli attuatori a sua disposizione, non solamente fisici ma anche software. Bisogna considerare che i sistemi di intelligenza artificiale razionale non \u00e8 detto che scelgano sempre l&#8217;azione migliore per il proprio obiettivo, a causa di limitazioni nelle risorse come il tempo o la potenza di calcolo.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n<\/div>\n\n<\/div>\n\n\n<figure class=\"wp-block-figure is-style-default\" style=\"\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/ai-type-eng.svg\" data-size=\"0x0\" ><img decoding=\"async\" class=\"b-lazy wp-block-image \" style=\"\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/themes\/FoundationPress\/studio42\/img\/loader-640-free.svg\" itemprop=\"thumbnail\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/ai-type-eng.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/ai-type-eng.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/ai-type-eng.svg\" alt=\"ai-type-eng\" width=\"100%\" height=\"100%\" \/><figcaption class=\"image-caption block\"><\/figcaption><\/figure>\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\r\n    \r\n    <div id=\"block_5fcd16c243e61\" class=\"featured-content row sezione align-center mt-16 mb-16 bg-featured-content\">\r\n        <div class=\"column small-12 medium-8\">\r\n\r\n                            <span class=\"h3 text-center mb-8\">Comitato ed etica<\/span>\r\n            \r\n                            <p class=\"\">A livello comunitario europeo \u00e8 stato istituito nel 2017 l\u2019High-Level Expert Group on Artificial Intelligence (AI HLEG). L\u2019obiettivo generale del gruppo dei 52 esperti di alto profilo dell&#8217;intelligenza artificiale \u00e8 sostenere l&#8217;attuazione della strategia europea sul tema. Tra i task inclusi c\u2019\u00e8 l\u2019elaborazione di raccomandazioni sullo sviluppo di politiche relative al futuro dell\u2019AI e questioni etiche, legali e sociali.<\/p>\n <a class=\"button\" href=\"https:\/\/ec.europa.eu\/futurium\/en\/ai-alliance-consultation\/guidelines#Top\" target=\"_blank\" rel=\"nofollow noopener\" onclick=\"ga('send', 'event', 'Action-Link', 'Click', 'Scopri di pi\u00f9');\">Scopri di pi\u00f9<\/a>\n            \r\n        <\/div>\r\n    <\/div>\r\n\r\n\n<\/div>\n\n<\/div>\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\r\n    \r\n    <div id=\"hollywood\" class=\"bookmark row mt-16 mb-8 \">\r\n        <div class=\"column small-12 text-center relative overflow-hidden height-8\">\r\n            <div class=\"absolute align-self-xy\">\r\n                <svg class=\"height-8\"viewBox=\"0 0 860 26\" version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\">\r\n                 <defs> <rect id=\"path-1\" x=\"0\" y=\"0\" width=\"860\" height=\"15\"><\/rect> <filter x=\"-1.3%\" y=\"-76.7%\" width=\"102.7%\" height=\"253.3%\" filterUnits=\"objectBoundingBox\" id=\"filter-2\"> <feGaussianBlur stdDeviation=\"6.5\" in=\"SourceAlpha\" result=\"shadowBlurInner1\"><\/feGaussianBlur> <feOffset dx=\"0\" dy=\"-10\" in=\"shadowBlurInner1\" result=\"shadowOffsetInner1\"><\/feOffset> <feComposite in=\"shadowOffsetInner1\" in2=\"SourceAlpha\" operator=\"arithmetic\" k2=\"-1\" k3=\"1\" result=\"shadowInnerInner1\"><\/feComposite> <feColorMatrix values=\"0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0355659965 0\" type=\"matrix\" in=\"shadowInnerInner1\"><\/feColorMatrix> <\/filter> <linearGradient x1=\"91.2120162%\" y1=\"100%\" x2=\"50%\" y2=\"100%\" id=\"linearGradient-3\"> <stop stop-color=\"#FFFFFF\" stop-opacity=\"0\" offset=\"0%\"><\/stop> <stop stop-color=\"#FFFFFF\" offset=\"100%\"><\/stop> <\/linearGradient> <\/defs> <g id=\"DESKTOP\" stroke=\"none\" stroke-width=\"1\" fill=\"none\" fill-rule=\"evenodd\"> <g id=\"INSIGHT-\/-Smart-Mobility\" transform=\"translate(-290.000000, -6030.000000)\"> <g id=\"bookmark\" transform=\"translate(290.000000, 6030.000000)\"> <g id=\"Rectangle\" fill=\"black\" fill-opacity=\"1\"> <use filter=\"url(#filter-2)\" xlink:href=\"#path-1\"><\/use> <\/g> <rect id=\"Rectangle\" fill=\"url(#linearGradient-3)\" x=\"0\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <rect id=\"Rectangle-Copy-8\" fill=\"url(#linearGradient-3)\" transform=\"translate(767.000000, 7.500000) rotate(-180.000000) translate(-767.000000, -7.500000) \" x=\"674\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <path d=\"M436.4,25.9075082 C436.253253,25.9079413 436.111436,25.854235 436.001375,25.7565483 L431,21.2809649 L425.998627,25.7565483 C425.821822,25.9147198 425.569174,25.9535765 425.353499,25.8557674 C425.137825,25.7579583 424.999386,25.5417421 425,25.3036687 L425,11.4153583 C425.001449,10.0819963 426.075118,9.00145598 427.400002,9 L434.6,9 C435.924884,9.00145598 436.998553,10.0819963 437,11.4153583 L437,25.3036687 C437,25.6371601 436.731371,25.9075082 436.4,25.9075082 Z\" id=\"Path\" fill=\"#EA6A11\" fill-rule=\"nonzero\"><\/path> <\/g> <\/g> <\/g><\/svg>\r\n            <\/div>\r\n        <\/div>\r\n    <\/div>\r\n\r\n\r\n\n\n\r\n    <div id=\"block_c5e8411a955cc14e6af13eab67687692\" class=\"row sezione mt-8 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                            <span class=\"toptitle block\">Letteratura e cinema<\/span>\r\n                                        <span class=\"title h2 fw-700 mb-2\">Quando Hollywood anticipa la realt\u00e0<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\n<p class=\"wp-block-studio42-paragraph text-none\">L\u2019uomo, nella letteratura e nel cinema, si \u00e8 sempre posto domande sulla possibile interazione con un\u2019intelligenza artificiale. Il primo personaggio di finzione ad essere considerato tale \u00e8 il <em>Frankenstein <\/em>di Mary Shelley (1818), divenuto film nel 1931. Non una creatura di metallo e silicio, come siamo abituati a immaginare oggi, ma un essere non umano riportato in vita grazie a prodigi tecnologici, che scopre il libero arbitrio e combatte per ottenerlo sfidando il suo stesso creatore.<br\/>\u00c8 un concetto che ritroviamo in molte opere successive, a partire dal dramma ceco di Karel \u010capek \u201cRUR\u201d del 1920. <em>Robota <\/em>in ceco significa lavoro: le \u201cmacchine\u201d costruite per sostituirci nei lavori pi\u00f9 pericolosi e pesanti, finiscono per divenire sempre pi\u00f9 intelligenti e apprendere non solo nozioni e azioni ma anche sentimenti. La discriminazione, la paura e l\u2019insensibilit\u00e0 umana sono spesso il motivo delle loro ribellioni.<br\/>\u00a0<br\/>Isaac Asimov, considerato uno dei capostipiti della letteratura di fantascienza aveva delineato le tre leggi della robotica:<br\/>1 &#8211; Un robot non pu\u00f2 recar danno a un essere umano n\u00e9 pu\u00f2 permettere che, a causa del proprio mancato intervento, un essere umano riceva danno.<br\/>2 &#8211; Un robot deve obbedire agli ordini impartiti dagli esseri umani, purch\u00e9 tali ordini non contravvengano alla Prima Legge.<br\/>3 &#8211; Un robot deve proteggere la propria esistenza, purch\u00e9 questa autodifesa non contrasti con la Prima o con la Seconda Legge.<br\/>Queste leggi sono valide a meno che, scrive Asimov nei suoi libri, non contrastino con la <strong>Legge Zero<\/strong>: <em>Un robot non pu\u00f2 danneggiare l\u2019Umanit\u00e0, n\u00e9 pu\u00f2 permettere che, a causa del suo mancato intervento, l\u2019Umanit\u00e0 riceva danno<\/em>.<br\/>\u00a0<br\/>Impossibile citare tutte le suggestioni letterarie e cinematografiche relative al tema. Quelle che seguono sono 3 tra le tipologie di intelligenze artificiali pi\u00f9 viste nel cinema. Una lista esaustiva per cinefili la potete trovare <a href=\"https:\/\/en.wikipedia.org\/wiki\/List_of_artificial_intelligence_films\">qui<\/a>.<\/p>\n\n<\/div>\n\n<\/div>\n\n\n\r\n\t\r\n\t\r\n\t\t<div id=\"block_18c893134ec1bdd3608166db3136eab5\" class=\"storytelling-img mt-16 mb-16 pt-8 pb-8 bg-grey-lightest expanded\">\r\n\r\n\t\t\t<div class=\"row unexpanded\">\r\n\r\n\t\t\t\t<div class=\"column small-12\">\r\n\r\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"row row-storytelling-img sezione collapse-16 align-center align-middle\">\r\n\r\n\t\t\t\t\t\t\t<div class=\"image column small-12 medium-10 large-7 large-order-2\">\r\n\t\t\t\t\t\t\t\t<div class=\"bg-img b-lazy bg-cover small-ratio-32\" style=\"\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/robot-640x480.jpg\" style=\"\" data-paroller-factor=\"0.1\" data-paroller-type=\"background\" data-paroller-direction=\"vertical\" data-paroller-transition=\"transform .1s linear\"><\/div>\t\t\t\t\t\t\t<\/div>\r\n\r\n\r\n\t\t\t\t\t\t\t<div class=\"content column small-12 medium-10 large-5 large-order-1\">\r\n\t\t\t\t\t\t\t\t<div class=\"mb-8\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"toptitle fs-xsmall title-line right mb-2\">Quando Hollywood anticipa la realt\u00e0<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"title h4 fw-700 color-orange mb-2\">I Robot<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t\t<p class=\"\">Dal capostipite <strong>Metropolis<\/strong> (1927) sono molti i film che hanno trattato di umanoidi elettronici. In molte opere i robot hanno in comune il bisogno di pensare ed emozionarsi come gli uomini, ribellarsi e diventare liberi dalla schiavit\u00f9. Lo fanno i replicanti di <strong>Blade Runner<\/strong> (1982) che sanno quando smetteranno di esistere, perch\u00e9 sono nati con una data di scadenza. Il distacco dai loro creatori umani avviene anche in <strong>A.I.<\/strong> (2001),\u00a0 <strong>Bicentennial Man<\/strong> (1999) e <strong>I, Robot<\/strong> (2004) in forma piuttosto romantica, mentre nella saga di Terminator (1984) e in film come <strong>Ex-Machina<\/strong> (2015) gli epiloghi sono pi\u00f9 tragici. In ordine di tempo i primi veri robot \u201cbuoni\u201d li troviamo nel primo episodio della lunga saga di <strong>Star Wars<\/strong> del 1977. E come dimenticare l\u2019esempio pi\u00f9 artistico nel film d\u2019animazione <strong>Wall-E<\/strong> (2008).<\/p>\n\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t<div class=\"line column small-12 large-order-3 mb-0\">\r\n\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"row row-storytelling-img sezione collapse-16 align-center align-middle\">\r\n\r\n\t\t\t\t\t\t\t<div class=\"image column small-12 medium-10 large-7 \">\r\n\t\t\t\t\t\t\t\t<div class=\"bg-img b-lazy bg-cover small-ratio-32\" style=\"\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/intelligentsystems-1-640x480.jpg\" style=\"\" data-paroller-factor=\"0.1\" data-paroller-type=\"background\" data-paroller-direction=\"vertical\" data-paroller-transition=\"transform .1s linear\"><\/div>\t\t\t\t\t\t\t<\/div>\r\n\r\n\r\n\t\t\t\t\t\t\t<div class=\"content column small-12 medium-10 large-5 \">\r\n\t\t\t\t\t\t\t\t<div class=\"mb-8\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"toptitle fs-xsmall title-line right mb-2\">Quando Hollywood anticipa la realt\u00e0<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"title h4 fw-700 color-orange mb-2\">Sistemi intelligenti<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t\t<p class=\"\">Virtual assistant e sistemi automatici sono in grado di comprendere tono e contesto del dialogo, memorizzare e riutilizzare le informazioni raccolte e dimostrare intraprendenza nel corso della conversazione. Questo lavoro lo fa ben oltre le aspettative il cervello elettronico HAL 9000 nel capolavoro di Kubrick<strong> 2001 Odissea nello Spazio<\/strong> (1968). E quando comprende gli umani leggendo il labiale&#8230; non la prende benissimo. Un sistema cloud in grado di interagire verbalmente e in modo empatico lo troviamo in <strong>Her<\/strong> di Spike Jonze (2013), dove un uomo solo inizia un rapporto verbale con un sistema operativo in grado di provare emozioni, \u00e8 la pi\u00f9 plausibile descrizione di un futuro non troppo lontano.<\/p>\n\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t<div class=\"line column small-12 large-order-3 mb-0\">\r\n\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"row row-storytelling-img sezione collapse-16 align-center align-middle\">\r\n\r\n\t\t\t\t\t\t\t<div class=\"image column small-12 medium-10 large-7 large-order-2\">\r\n\t\t\t\t\t\t\t\t<div class=\"bg-img b-lazy bg-cover small-ratio-32\" style=\"\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/artificialreality-640x480.jpg\" style=\"\" data-paroller-factor=\"0.1\" data-paroller-type=\"background\" data-paroller-direction=\"vertical\" data-paroller-transition=\"transform .1s linear\"><\/div>\t\t\t\t\t\t\t<\/div>\r\n\r\n\r\n\t\t\t\t\t\t\t<div class=\"content column small-12 medium-10 large-5 large-order-1\">\r\n\t\t\t\t\t\t\t\t<div class=\"mb-8\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"toptitle fs-xsmall title-line right mb-2\">Quando Hollywood anticipa la realt\u00e0<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"title h4 fw-700 color-orange mb-2\">Realt\u00e0 artificiale<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t\t<p class=\"\">Molti film sono stati profetici nell\u2019immaginare tecnologie che oggi sono entrate nella quotidianit\u00e0. Dal riconoscimento biometrico in <strong>Robocop<\/strong> (1987) alla pubblicit\u00e0 personalizzata e il muro interattivo di <strong>Minority Report<\/strong> (2002). Ma il tema della realt\u00e0 virtuale gi\u00e0 toccato in <strong>Tron<\/strong> (1982), <strong>The Lawnmower Man<\/strong> (1992), <strong>Johnny Mnemonic<\/strong> (1995) e <strong>Nirvana<\/strong> (1997) raggiunge la sua massima portata epica nella trilogia <strong>The Matrix<\/strong> (1999-2003) dove [SPOILER] l\u2019intelligenza artificiale ormai domina il mondo e non solo crea macchine diaboliche ma \u201ccoltiva\u201d l\u2019uomo in campi sterminati perch\u00e9 produca energia elettrica con la propria attivit\u00e0 cerebrale mentre vive inconsciamente in una realt\u00e0 virtuale costruita nel modo pi\u00f9 simile possibile alle imperfezioni della natura umana. Un quadro totalmente ribaltato.<\/p>\n<p class=\"\">Possiamo avere la certezza che non sia davvero cos\u00ec?<\/p>\n\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t<div class=\"line column small-12 large-order-3 mb-0\">\r\n\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\r\n\t\t\t\t<\/div>\r\n\r\n\t\t\t<\/div>\r\n\r\n\t\t<\/div>\r\n\r\n\t\r\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\r\n    <div id=\"block_addf2f26dc18cfb835d408a6813f4ca0\" class=\"row sezione mt-4 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                                        <span class=\"title h3 fw-700 mb-2 dot-after\">Breve storia dell&#8217;Intelligenza Artificiale<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n\r\n\r\n\t<div id=\"block_de5534d68217990da14327cbe9231e93\" class=\"row sezione align-center\">\r\n\t\t<div class=\"column small-12\">\r\n\t\t\t\t\t<!-- \/\/\/\/\/\/\/\/\/ Slider Posts \/\/\/\/\/\/\/\/\/ -->\r\n\t\t<div id=\"block_de5534d68217990da14327cbe9231e93\" class=\"hero-slider  milestones-slider\">\r\n\r\n\t\t\t<div class=\"swiper-container block_de5534d68217990da14327cbe9231e93 swiper-controls-outside\">\r\n\r\n\t\t\t\t<div class=\"swiper-wrapper\">\r\n\r\n\t\t\t\t\t<div class=\"swiper-slide\">\r\n    <div id=\"block_5fcd37ec5910a\" class=\"milestone column pr-16 pb-12 \">\r\n\r\n                    <span class=\"year title fs-huge fw-700 color-grey-lighter lh-10\">\r\n                1950            <\/span>\r\n                            <span class=\"what title fs-h3 fw-700 color-black lh-10\">The Turing Machine<\/span>\r\n                            <p class=\"description mt-8\">British mathematician Alan Turing theorises a &#8220;computing machine&#8221; (the Turing machine), capable of carrying out cognitive processes. It lays the foundation for what we now call artificial intelligence.<\/p>\r\n        \r\n    <\/div>\r\n\r\n<\/div><div class=\"swiper-slide\">\r\n    <div id=\"block_5fcd38720d12a\" class=\"milestone column pr-16 pb-12 \">\r\n\r\n                    <span class=\"year title fs-huge fw-700 color-grey-lighter lh-10\">\r\n                1956            <\/span>\r\n                            <span class=\"what title fs-h3 fw-700 color-black lh-10\">&#8220;Artificial Intelligence&#8221; is born<\/span>\r\n                            <p class=\"description mt-8\">Scientists gathered at a conference at Dartmouth College in New Hampshire believe that a machine can simulate aspects of learning and other characteristics of human intelligence. Programmer John McCarthy proposes the term &#8220;artificial intelligence&#8221;. <\/p>\r\n        \r\n    <\/div>\r\n\r\n<\/div><div class=\"swiper-slide\">\r\n    <div id=\"block_5fcd38c6a2dc3\" class=\"milestone column pr-16 pb-12 \">\r\n\r\n                    <span class=\"year title fs-huge fw-700 color-grey-lighter lh-10\">\r\n                1966            <\/span>\r\n                            <span class=\"what title fs-h3 fw-700 color-black lh-10\">The first chatbot &#8211; Eliza<\/span>\r\n                            <p class=\"description mt-8\">Scientist Joseph Weizenbaum of the Massachusetts Institute of Technology invents &#8220;ELIZA&#8221;, a computer programme to communicate with humans. <\/p>\r\n        \r\n    <\/div>\r\n\r\n<\/div><div class=\"swiper-slide\">\r\n    <div id=\"block_5fcd391d50857\" class=\"milestone column pr-16 pb-12 \">\r\n\r\n                    <span class=\"year title fs-huge fw-700 color-grey-lighter lh-10\">\r\n                1972            <\/span>\r\n                            <span class=\"what title fs-h3 fw-700 color-black lh-10\">The first robot &#8211; WABOT-1<\/span>\r\n                            <p class=\"description mt-8\">The first human-looking life-size robot is built in Japan. It is called WABOT-1. It can walk and pick up objects.<\/p>\r\n        \r\n    <\/div>\r\n\r\n<\/div><div class=\"swiper-slide\">\r\n    <div id=\"block_5fcd397e6481e\" class=\"milestone column pr-16 pb-12 \">\r\n\r\n                    <span class=\"year title fs-huge fw-700 color-grey-lighter lh-10\">\r\n                1986            <\/span>\r\n                            <span class=\"what title fs-h3 fw-700 color-black lh-10\">The talking computer &#8211; NETtalk<\/span>\r\n                            <p class=\"description mt-8\">Terrence J. Sejnowski and Charles Rosenberg teach the computer to talk with their &#8220;NETtalk&#8221; programme, which is capable of reading and pronouncing words. In addition, it can apply what it has learned to words it doesn&#8217;t know. It is one of the first artificial neural networks.<\/p>\r\n        \r\n    <\/div>\r\n\r\n<\/div><div class=\"swiper-slide\">\r\n    <div id=\"block_5fcd39cf504ab\" class=\"milestone column pr-16 pb-12 \">\r\n\r\n                    <span class=\"year title fs-huge fw-700 color-grey-lighter lh-10\">\r\n                1997            <\/span>\r\n                            <span class=\"what title fs-h3 fw-700 color-black lh-10\">Deep Blue beats Kasparov<\/span>\r\n                            <p class=\"description mt-8\">The Deep Blue computer beats reigning world chess champion Garry Kasparov.<\/p>\r\n        \r\n    <\/div>\r\n\r\n<\/div><div class=\"swiper-slide\">\r\n    <div id=\"block_5fcd3a2a12464\" class=\"milestone column pr-16 pb-12 \">\r\n\r\n                    <span class=\"year title fs-huge fw-700 color-grey-lighter lh-10\">\r\n                2002            <\/span>\r\n                            <span class=\"what title fs-h3 fw-700 color-black lh-10\">AI in the home<\/span>\r\n                            <p class=\"description mt-8\">Artificial intelligence enters our homes thanks to Roomba, a robot vacuum cleaner.<\/p>\r\n        \r\n    <\/div>\r\n\r\n<\/div><div class=\"swiper-slide\">\r\n    <div id=\"block_5fcd3a75c19bb\" class=\"milestone column pr-16 pb-12 \">\r\n\r\n                    <span class=\"year title fs-huge fw-700 color-grey-lighter lh-10\">\r\n                2011            <\/span>\r\n                            <span class=\"what title fs-h3 fw-700 color-black lh-10\">Digital assistants<\/span>\r\n                            <p class=\"description mt-8\">The era of the digital assistant begins, Apple&#8217;s Siri is the first in 2011, Microsoft introduces &#8220;Cortana&#8221; in 2014 and the following year Amazon Echo arrives with the Alexa voice service.<\/p>\r\n        \r\n    <\/div>\r\n\r\n<\/div><div class=\"swiper-slide\">\r\n    <div id=\"block_5fcd3ac7b63c7\" class=\"milestone column pr-16 pb-12 \">\r\n\r\n                    <span class=\"year title fs-huge fw-700 color-grey-lighter lh-10\">\r\n                2016            <\/span>\r\n                            <span class=\"what title fs-h3 fw-700 color-black lh-10\">AI diagnosis and games<\/span>\r\n                            <p class=\"description mt-8\">The artificial intelligence alphaGo, Google software, beats the champion of the popular GO game.<\/p>\r\n        \r\n    <\/div>\r\n\r\n<\/div>\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t\t\t<div class=\"swiper-pagination\"><\/div>\r\n\t\t\t\t\r\n\t\t\t\t\t\t\t\t\t<div class=\"swiper-button-next\"><\/div>\r\n\t\t\t\t\t<div class=\"swiper-button-prev\"><\/div>\r\n\t\t\t\t\r\n\t\t\t<\/div>\r\n\r\n\t\t<\/div>\r\n\r\n\t\t<script>\r\n\t\t\t\/* swiper slider post *\/\r\n\t\t\tvar block_de5534d68217990da14327cbe9231e93 = new Swiper('.block_de5534d68217990da14327cbe9231e93', {\r\n\t\t\t\tpreloadImages: false,\r\n\t\t\t\tlazy: false,\r\n\t\t\t\tgrabCursor: true,\r\n\t\t\t\tautoplay: false,\r\n\t\t\t\tloop: false,\r\n\t\t\t\tcenteredSlidesBounds: false,\r\n\t\t\t\tcenteredSlides: false,\r\n\t\t\t\tcenterInsufficientSlides: false,\r\n\t\t\t\tslidesOffsetBefore: 0,\r\n\t\t\t\tslidesOffsetAfter: 0,\r\n\t\t\t\tfreeMode: false,\r\n\t\t\t\tspeed: 300,\r\n\t\t\t\t\/* watchOverflow: true, *\/\r\n\t\t\t\t\/* freeMode: true, *\/\r\n\t\t\t\tslidesPerView: 1,\r\n\t\t\t\tspaceBetween: 0,\r\n\t\t\t\tpagination: {\r\n\t\t\t\t\tel: '.swiper-pagination',\r\n\t\t\t\t\tclickable: 'true',\r\n\t\t\t\t\tdynamicBullets: false,\r\n\t\t\t\t\tdynamicMainBullets: 5,\r\n\t\t\t\t},\r\n\t\t\t\tnavigation: {\r\n\t\t\t\t\tnextEl: '.swiper-button-next',\r\n\t\t\t\t\tprevEl: '.swiper-button-prev',\r\n\t\t\t\t},\r\n\t\t\t\tbreakpoints: {\r\n\t\t\t\t\t\t\t\t\t\t\t300: {\r\n\t\t\t\t\t\t\tslidesPerView: 1,\r\n\t\t\t\t\t\t\t\/\/ slidesPerGroup: 1,\r\n\t\t\t\t\t\t},\r\n\t\t\t\t\t\t\t\t\t\t\t320: {\r\n\t\t\t\t\t\t\tslidesPerView: 1,\r\n\t\t\t\t\t\t\t\/\/ slidesPerGroup: 1,\r\n\t\t\t\t\t\t},\r\n\t\t\t\t\t\t\t\t\t\t\t640: {\r\n\t\t\t\t\t\t\tslidesPerView: 2,\r\n\t\t\t\t\t\t\t\/\/ slidesPerGroup: 2,\r\n\t\t\t\t\t\t},\r\n\t\t\t\t\t\t\t\t\t\t\t960: {\r\n\t\t\t\t\t\t\tslidesPerView: 3,\r\n\t\t\t\t\t\t\t\/\/ slidesPerGroup: 3,\r\n\t\t\t\t\t\t},\r\n\t\t\t\t\t\t\t\t\t\t\t1200: {\r\n\t\t\t\t\t\t\tslidesPerView: 3,\r\n\t\t\t\t\t\t\t\/\/ slidesPerGroup: 3,\r\n\t\t\t\t\t\t},\r\n\t\t\t\t\t\t\t\t\t}\r\n\r\n\t\t\t});\r\n\r\n\t\t\tblock_de5534d68217990da14327cbe9231e93.on('slideChange', function() {\r\n\t\t\t\t\/\/ console.log('slide changed');\r\n\t\t\t\tvar bLazy = new Blazy();\r\n\t\t\t\tbLazy.functionName(); \/\/ eg bLazy.revalidate()\r\n\t\t\t});\r\n\t\t<\/script>\r\n\t\t<\/div>\r\n\t<\/div>\r\n\r\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\r\n    \r\n    <div id=\"block_5fcd3d5766c92\" class=\"featured-content row sezione align-center mt-16 mb-16 bg-featured-content\">\r\n        <div class=\"column small-12 medium-8\">\r\n\r\n                            <span class=\"h3 text-center mb-8\">Macchine e uomini insieme<\/span>\r\n            \r\n                            <p class=\"\">Una ricerca dell&#8217;Osservatorio Artificial Intelligence della School of Management del Politecnico di Milano mostra come il 96% delle imprese italiane che hanno gi\u00e0 implementato soluzioni di AI nelle proprie attivit\u00e0 non rileva effetti di sostituzione del lavoro umano da parte delle macchine.<\/p>\n            \r\n        <\/div>\r\n    <\/div>\r\n\r\n\n<\/div>\n\n<\/div>\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\r\n    \r\n    <div id=\"block_6d1f6d6aa6d75d823f28b7aaf36a3fa7\" class=\"bookmark row mt-16 mb-8 \">\r\n        <div class=\"column small-12 text-center relative overflow-hidden height-8\">\r\n            <div class=\"absolute align-self-xy\">\r\n                <svg class=\"height-8\"viewBox=\"0 0 860 26\" version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\">\r\n                 <defs> <rect id=\"path-1\" x=\"0\" y=\"0\" width=\"860\" height=\"15\"><\/rect> <filter x=\"-1.3%\" y=\"-76.7%\" width=\"102.7%\" height=\"253.3%\" filterUnits=\"objectBoundingBox\" id=\"filter-2\"> <feGaussianBlur stdDeviation=\"6.5\" in=\"SourceAlpha\" result=\"shadowBlurInner1\"><\/feGaussianBlur> <feOffset dx=\"0\" dy=\"-10\" in=\"shadowBlurInner1\" result=\"shadowOffsetInner1\"><\/feOffset> <feComposite in=\"shadowOffsetInner1\" in2=\"SourceAlpha\" operator=\"arithmetic\" k2=\"-1\" k3=\"1\" result=\"shadowInnerInner1\"><\/feComposite> <feColorMatrix values=\"0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0355659965 0\" type=\"matrix\" in=\"shadowInnerInner1\"><\/feColorMatrix> <\/filter> <linearGradient x1=\"91.2120162%\" y1=\"100%\" x2=\"50%\" y2=\"100%\" id=\"linearGradient-3\"> <stop stop-color=\"#FFFFFF\" stop-opacity=\"0\" offset=\"0%\"><\/stop> <stop stop-color=\"#FFFFFF\" offset=\"100%\"><\/stop> <\/linearGradient> <\/defs> <g id=\"DESKTOP\" stroke=\"none\" stroke-width=\"1\" fill=\"none\" fill-rule=\"evenodd\"> <g id=\"INSIGHT-\/-Smart-Mobility\" transform=\"translate(-290.000000, -6030.000000)\"> <g id=\"bookmark\" transform=\"translate(290.000000, 6030.000000)\"> <g id=\"Rectangle\" fill=\"black\" fill-opacity=\"1\"> <use filter=\"url(#filter-2)\" xlink:href=\"#path-1\"><\/use> <\/g> <rect id=\"Rectangle\" fill=\"url(#linearGradient-3)\" x=\"0\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <rect id=\"Rectangle-Copy-8\" fill=\"url(#linearGradient-3)\" transform=\"translate(767.000000, 7.500000) rotate(-180.000000) translate(-767.000000, -7.500000) \" x=\"674\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <path d=\"M436.4,25.9075082 C436.253253,25.9079413 436.111436,25.854235 436.001375,25.7565483 L431,21.2809649 L425.998627,25.7565483 C425.821822,25.9147198 425.569174,25.9535765 425.353499,25.8557674 C425.137825,25.7579583 424.999386,25.5417421 425,25.3036687 L425,11.4153583 C425.001449,10.0819963 426.075118,9.00145598 427.400002,9 L434.6,9 C435.924884,9.00145598 436.998553,10.0819963 437,11.4153583 L437,25.3036687 C437,25.6371601 436.731371,25.9075082 436.4,25.9075082 Z\" id=\"Path\" fill=\"#EA6A11\" fill-rule=\"nonzero\"><\/path> <\/g> <\/g> <\/g><\/svg>\r\n            <\/div>\r\n        <\/div>\r\n    <\/div>\r\n\r\n\r\n\n\n\r\n    <div id=\"changed\" class=\"row sezione mt-8 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                                        <span class=\"title h2 fw-700 mb-2\">Come cambia il mondo con l&#8217;Intelligenza Artificiale<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\n<p class=\"wp-block-studio42-paragraph text-none\">L\u2019intelligenza artificiale entra in gioco pi\u00f9 di quanto pensiamo nella vita quotidiana delle persone. Nel campo della medicina, ad esempio, si fa ricorso sempre di pi\u00f9 al digital per la diagnostica di malattie come il Parkinson e l\u2019Alzheimer, ma anche in campi apparentemente intoccabili come l\u2019arte \u00e8 successo che un dipinto generato dall\u2019AI nell\u2019ottobre 2018, fosse battuto da Christie\u2019s a oltre 430000 dollari. E se siamo abituati (consapevoli?) ad essere guidati nelle nostre esperienze di acquisto (Amazon &amp; C.) e di visione (Netflix su tutti), faremo l\u2019abitudine a gestire i nostri investimenti finanziari grazie al servizio di caring gestito da forme di intelligenza artificiale, come ad esempio l\u2018assistente Erica della Bank of America.<\/p>\n\n<\/div>\n\n<\/div>\n\n\n\r\n    <span class=\"block p-4\">&nbsp;<\/span>\r\n\r\n\n\n\r\n    <div id=\"block_8d8853876285d660b36cec3640e6c073\" class=\"row sezione mt-4 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                                        <span class=\"title h3 fw-700 mb-2 dot-after\">AI: Forte e Debole<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\n<p class=\"wp-block-studio42-paragraph text-none\">L&#8217;abbinamento dei termini \u201cStrong\u201d e \u201cWeak\u201d con Intelligenza Artificiale \u00e8 stato creato da John Searle, che voleva sottolineare differenti livelli di prestazioni in diversi tipi di macchine.<\/p>\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>IA Debole<\/strong><\/td><td><strong>IA Forte<\/strong><\/td><\/tr><tr><td>Una piccola applicazione con un obiettivo limitato.<\/td><td>Applicazione pi\u00f9 ampia con una portata pi\u00f9 vasta.<\/td><\/tr><tr><td>Applicazione buona per specifici compiti.<\/td><td>Questa applicazione ha un&#8217;intelligenza a livello dell&#8217;uomo.<\/td><\/tr><tr><td>Utilizza l&#8217;apprendimento supervisionato dall&#8217;uomo e non per elaborare dati.<\/td><td>Utilizza il clustering e l&#8217;associazione per elaborare dati.<\/td><\/tr><tr><td>Esempio: Assistenti vocali<\/td><td>Esempio: Robotica avanzata<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n<figure class=\"wp-block-figure is-style-default\" style=\"\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/3types-eng.svg\" data-size=\"0x0\" ><img decoding=\"async\" class=\"b-lazy wp-block-image \" style=\"\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/themes\/FoundationPress\/studio42\/img\/loader-640-free.svg\" itemprop=\"thumbnail\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/3types-eng.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/3types-eng.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/3types-eng.svg\" alt=\"3types-eng\" width=\"100%\" height=\"100%\" \/><figcaption class=\"image-caption block\">Un altro tipo di classificazione suddivide le tipologie di Intelligenze Artificiali in Narrow, General e Super.<\/figcaption><\/figure>\n\r\n    <span class=\"block p-4\">&nbsp;<\/span>\r\n\r\n\n<\/div>\n\n<\/div>\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\n<p class=\"wp-block-studio42-paragraph text-none\"><strong>Narrow AI <\/strong><br\/><br\/>Sono sistemi progettati per risolvere un singolo problema. Per definizione, hanno capacit\u00e0 limitate: possono consigliare un prodotto di e-commerce o fornire previsioni del tempo. Sono in grado di avvicinarsi al comportamento umano, ma possono eccellere solo in ambienti con un numero limitato di parametri.<br\/><br\/><strong>General AI<\/strong><br\/><br\/>\u00c8 il tipo di Intelligenza Artificiale pi\u00f9 vicino a quella umana. Alcuni scienziati sostengono che sia prossima a vedere la luce una AI in grado di relazionarsi all\u2019ambiente sociale nello stesso modo in cui lo farebbe un essere umano. Il gap attuale \u00e8 rappresentato non dalla capacit\u00e0 di analisi e dall&#8217;elaborazione dei dati (in cui sono gi\u00e0 enormemente superiori a noi), ma dall\u2019impossibilit\u00e0 di pensare in modo astratto e di avere idee originali.<br\/><br\/><br\/><strong>Super AI<\/strong><br\/><br\/>Teoricamente supera l&#8217;intelligenza umana in modi che non possiamo attualmente nemmeno immaginare. Una super AI sarebbe migliore di noi in tutto, ma qui si entra nel territorio della fantascienza, Le sue capacit\u00e0 comprenderebbero processi decisionali, decisioni razionali e anche la costruzione di relazioni emotive.<\/p>\n\n<\/div>\n\n<\/div>\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\r\n    \r\n    <div id=\"applications\" class=\"bookmark row mt-16 mb-8 \">\r\n        <div class=\"column small-12 text-center relative overflow-hidden height-8\">\r\n            <div class=\"absolute align-self-xy\">\r\n                <svg class=\"height-8\"viewBox=\"0 0 860 26\" version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\">\r\n                 <defs> <rect id=\"path-1\" x=\"0\" y=\"0\" width=\"860\" height=\"15\"><\/rect> <filter x=\"-1.3%\" y=\"-76.7%\" width=\"102.7%\" height=\"253.3%\" filterUnits=\"objectBoundingBox\" id=\"filter-2\"> <feGaussianBlur stdDeviation=\"6.5\" in=\"SourceAlpha\" 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filter=\"url(#filter-2)\" xlink:href=\"#path-1\"><\/use> <\/g> <rect id=\"Rectangle\" fill=\"url(#linearGradient-3)\" x=\"0\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <rect id=\"Rectangle-Copy-8\" fill=\"url(#linearGradient-3)\" transform=\"translate(767.000000, 7.500000) rotate(-180.000000) translate(-767.000000, -7.500000) \" x=\"674\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <path d=\"M436.4,25.9075082 C436.253253,25.9079413 436.111436,25.854235 436.001375,25.7565483 L431,21.2809649 L425.998627,25.7565483 C425.821822,25.9147198 425.569174,25.9535765 425.353499,25.8557674 C425.137825,25.7579583 424.999386,25.5417421 425,25.3036687 L425,11.4153583 C425.001449,10.0819963 426.075118,9.00145598 427.400002,9 L434.6,9 C435.924884,9.00145598 436.998553,10.0819963 437,11.4153583 L437,25.3036687 C437,25.6371601 436.731371,25.9075082 436.4,25.9075082 Z\" id=\"Path\" fill=\"#EA6A11\" fill-rule=\"nonzero\"><\/path> <\/g> <\/g> <\/g><\/svg>\r\n            <\/div>\r\n        <\/div>\r\n    <\/div>\r\n\r\n\r\n\n\n\r\n    <div id=\"block_8381e111f8bd4786c6ec7dac4150285d\" class=\"row sezione mt-4 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                                        <span class=\"title h3 fw-700 mb-2 dot-after\">Applicazioni di Intelligenza ArtificIale<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n<figure class=\"wp-block-figure is-style-default\" style=\"\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/branchie-ai-eng.svg\" data-size=\"0x0\" ><img decoding=\"async\" class=\"b-lazy wp-block-image \" style=\"\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/themes\/FoundationPress\/studio42\/img\/loader-640-free.svg\" itemprop=\"thumbnail\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/branchie-ai-eng.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/branchie-ai-eng.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/branchie-ai-eng.svg\" alt=\"branchie-ai-eng\" width=\"100%\" height=\"100%\" \/><figcaption class=\"image-caption block\"><\/figcaption><\/figure>\n<\/div>\n\n<\/div>\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\r\n\t\r\n\t\r\n\t\t<div id=\"block_4d48b8f6da040ff9ab3961e8588ce679\" class=\"storytelling-testuale\">\r\n\r\n\t\t\t\t\t\t\t<div class=\"storytelling-testuale bg-grey-lightest\">\r\n\t\t\t\t\t<div class=\"row sezione align-center pt-16 pb-8\">\r\n\t\t\t\t\t\t<div class=\"titles column small-12 medium-6 large-4 \">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"title h4 fw-700 color-primary title-line orange mb-2\">Machine Learning<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div class=\"content column small-12 medium-6 large-4 \">\r\n\t\t\t\t\t\t\t<p class=\"\">Il Machine Learning \u00e8 la scienza che permette alle macchine di interpretare, elaborare e analizzare i dati per risolvere i problemi del mondo reale. A un livello base, il ML significa fornire dati a un computer per allenarlo a svolgere un task: la macchina &#8211; l&#8217;algoritmo &#8211; migliora le proprie prestazioni sulla base dei dati che le vengono forniti.<\/p>\n<p class=\"\">La maggior parte dell&#8217;apprendimento automatico richiede un input costante da parte degli esseri umani e viene alimentata con set di dati per lo pi\u00f9 etichettati, sebbene esistano anche algoritmi non supervisionati.<\/p>\n<p class=\"\">In Machine Learning ci sono tre categorie:<\/p>\n<ul>\n<li>Apprendimento supervisionato<\/li>\n<li>Apprendimento senza supervisione<\/li>\n<li>Insegnamento rafforzativo<\/li>\n<\/ul>\n\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t<div class=\"storytelling-testuale \">\r\n\t\t\t\t\t<div class=\"row sezione align-center pt-16 pb-8\">\r\n\t\t\t\t\t\t<div class=\"titles column small-12 medium-6 large-4 medium-order-2\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"title h4 fw-700 color-primary title-line orange mb-2\">Deep Learning<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div class=\"content column small-12 medium-6 large-4 medium-order-1\">\r\n\t\t\t\t\t\t\t<p class=\"\">Il Deep Learning \u00e8 una versione superiore del Machine Learning che pu\u00f2, all&#8217;interno di un ambiente reale, apprendere per livelli di astrazione.<\/p>\n<p class=\"\">Come esempio pi\u00f9 eclatante, si ricorda Sophia, l\u2019androide in grado di riprodurre oltre 60 espressioni facciali umane e in grado di partecipare a dibattiti di alto profilo.<\/p>\n\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t<div class=\"storytelling-testuale bg-grey-lightest\">\r\n\t\t\t\t\t<div class=\"row sezione align-center pt-16 pb-8\">\r\n\t\t\t\t\t\t<div class=\"titles column small-12 medium-6 large-4 \">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"title h4 fw-700 color-primary title-line orange mb-2\">Robotics<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div class=\"content column small-12 medium-6 large-4 \">\r\n\t\t\t\t\t\t\t<p class=\"\">La robotica \u00e8 una branca dell&#8217;intelligenza artificiale che si concentra su diversi rami e applicazioni di robot. I robot AI sono agenti artificiali che agiscono in un ambiente reale per produrre risultati intraprendendo azioni responsabili.<br \/>\nSophia l&#8217;umanoide \u00e8 un buon esempio di intelligenza artificiale nella robotica.<\/p>\n\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t<div class=\"storytelling-testuale \">\r\n\t\t\t\t\t<div class=\"row sezione align-center pt-16 pb-8\">\r\n\t\t\t\t\t\t<div class=\"titles column small-12 medium-6 large-4 medium-order-2\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"title h4 fw-700 color-primary title-line orange mb-2\">Expert Systems<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div class=\"content column small-12 medium-6 large-4 medium-order-1\">\r\n\t\t\t\t\t\t\t<p class=\"\">Un Expert System \u00e8 un sistema informatico basato sull\u2019Intelligenza Artificiale in grado di imparare le capacit\u00e0 decisionali di un umano esperto e di replicarle.<\/p>\n<p class=\"\">Un ES utilizza notazioni basate sulla logica <em>if-then<\/em> per arrivare a risolvere problemi complessi; non si basa, quindi, sulla programmazione procedurale convenzionale. Tra i principali campi di applicazione di questa branchia di AI, ci sono l\u2019analisi prestiti, il rilevamento di virus, la gestione delle informazioni e le attivit\u00e0 di strutture mediche.<\/p>\n\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t<div class=\"storytelling-testuale bg-grey-lightest\">\r\n\t\t\t\t\t<div class=\"row sezione align-center pt-16 pb-8\">\r\n\t\t\t\t\t\t<div class=\"titles column small-12 medium-6 large-4 \">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"title h4 fw-700 color-primary title-line orange mb-2\">Fuzzy logic<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div class=\"content column small-12 medium-6 large-4 \">\r\n\t\t\t\t\t\t\t<p class=\"\">La Fuzzy logic (\u201clogica sfocata\u201d) pu\u00f2 essere vista come un\u2019evoluzione della logica booleana dello \u201c0-1\u201d, A differenza di quest\u2019ultima, infatti, \u00e8 un approccio informatico basato sui principi dei gradi di verit\u00e0 (\u201cdegrees of truth\u201d) ed \u00e8 quindi in grado di affrontare anche contesti ambigui. La FL \u00e8 usata, ad esempio, in ambito medico per risolvere problemi complessi che riguardano il processo decisionale, ma anche nel controllo ambientale per la guida automatica del veicolo o, sempre sulle vetture, per la gestione del cambio automatico.<\/p>\n\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t\t<div class=\"storytelling-testuale \">\r\n\t\t\t\t\t<div class=\"row sezione align-center pt-16 pb-8\">\r\n\t\t\t\t\t\t<div class=\"titles column small-12 medium-6 large-4 medium-order-2\">\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"title h4 fw-700 color-primary title-line orange mb-2\">Natural Language Processing<\/span>\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\t\t<div class=\"content column small-12 medium-6 large-4 medium-order-1\">\r\n\t\t\t\t\t\t\t<p class=\"\">Natural Language Processing (NLP) si riferisce alla scienza di trarre intuizioni dal linguaggio umano naturale al fine di comunicare con le macchine e far crescere le imprese.<\/p>\n<p class=\"\">Twitter utilizza la NLP per filtrare il linguaggio terroristico nei suoi tweet, Amazon utilizza la PNL per comprendere le recensioni dei clienti e migliorare l&#8217;esperienza dell&#8217;utente.<\/p>\n\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\r\n\t\t\t\r\n\t\t<\/div>\r\n\r\n\t\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\"><\/div>\n\n<\/div>\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\r\n    \r\n    <div id=\"future\" class=\"bookmark row mt-16 mb-8 \">\r\n        <div class=\"column small-12 text-center relative overflow-hidden height-8\">\r\n            <div class=\"absolute align-self-xy\">\r\n                <svg class=\"height-8\"viewBox=\"0 0 860 26\" version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\">\r\n                 <defs> <rect id=\"path-1\" 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fill-rule=\"evenodd\"> <g id=\"INSIGHT-\/-Smart-Mobility\" transform=\"translate(-290.000000, -6030.000000)\"> <g id=\"bookmark\" transform=\"translate(290.000000, 6030.000000)\"> <g id=\"Rectangle\" fill=\"black\" fill-opacity=\"1\"> <use filter=\"url(#filter-2)\" xlink:href=\"#path-1\"><\/use> <\/g> <rect id=\"Rectangle\" fill=\"url(#linearGradient-3)\" x=\"0\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <rect id=\"Rectangle-Copy-8\" fill=\"url(#linearGradient-3)\" transform=\"translate(767.000000, 7.500000) rotate(-180.000000) translate(-767.000000, -7.500000) \" x=\"674\" y=\"0\" width=\"186\" height=\"15\"><\/rect> <path d=\"M436.4,25.9075082 C436.253253,25.9079413 436.111436,25.854235 436.001375,25.7565483 L431,21.2809649 L425.998627,25.7565483 C425.821822,25.9147198 425.569174,25.9535765 425.353499,25.8557674 C425.137825,25.7579583 424.999386,25.5417421 425,25.3036687 L425,11.4153583 C425.001449,10.0819963 426.075118,9.00145598 427.400002,9 L434.6,9 C435.924884,9.00145598 436.998553,10.0819963 437,11.4153583 L437,25.3036687 C437,25.6371601 436.731371,25.9075082 436.4,25.9075082 Z\" id=\"Path\" fill=\"#EA6A11\" fill-rule=\"nonzero\"><\/path> <\/g> <\/g> <\/g><\/svg>\r\n            <\/div>\r\n        <\/div>\r\n    <\/div>\r\n\r\n\r\n\n\n\r\n    <div id=\"block_29489707fe236f1fa411d9775f0c1bff\" class=\"row sezione mt-4 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                                        <span class=\"title h3 fw-700 mb-2 dot-after\">Scenari: oggi e il futuro<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-10 large-8\">\n\n<p class=\"wp-block-studio42-paragraph text-none\">Dalle <a href=\"https:\/\/www.statista.com\/chart\/6810\/the-future-of-ai\/\">statistiche pi\u00f9 recenti<\/a>, risulta che a livello mondiale, i finanziamenti complessivi nel campo dell\u2019Intelligenza Artificiale siano rivolti soprattutto alla realizzazione di applicazioni e di piattaforme di Machine Learning (quasi 28,5 miliardi di dollari a met\u00e0 2019). L\u2019attuale scenario \u00e8 ancora all\u2019interno della Narrow AI.<\/p>\n\n<\/div>\n\n<\/div>\n\n\n\n<div class=\"row align-center wp-block-columns\">\n\n<div class=\"wp-block-column column small-12 medium-5 large-4\">\n\n<p class=\"wp-block-studio42-paragraph text-none\">Ma che cosa succeder\u00e0 nel futuro prossimo, quando cominceranno a svilupparsi forme di AGI (Artificial General Intelligence) e ASI (Artificial Super Intelligence)?<br\/>\u00a0<br\/>A differenza di quanto si potrebbe pensare, condizionati da un immaginario \u201ccinematografico\u201d, l\u2019attuale interesse di business del settore non \u00e8 focalizzato su robot di compagnia o al servizio delle nostre attivit\u00e0 quotidiane. Il settore che maggiormente sta spingendo il mondo dell\u2019AI \u00e8 attualmente quello del Riconoscimento,\u00a0 classificazione ed etichettatura di immagini statiche (8 miliardi di dollari), seguito dal Miglioramento delle prestazioni della strategia di trading algoritmico&#8221; (7,5 miliardi di dollari) e dall\u2019Elaborazione efficiente e scalabile dei dati dei pazienti (7,4 miliardi di dollari). Almeno fino al 2025, lo scenario sar\u00e0 un po\u2019 meno futuristico e pi\u00f9 \u201capplicativo\u201d.<\/p>\n\n<\/div>\n\n\n<div class=\"wp-block-column column small-12 medium-5 large-4\">\n<figure class=\"wp-block-figure is-style-default\" style=\"\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/keynumber01-ita.svg\" data-size=\"0x0\" ><img decoding=\"async\" class=\"b-lazy wp-block-image \" style=\"\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/themes\/FoundationPress\/studio42\/img\/loader-640-free.svg\" itemprop=\"thumbnail\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/keynumber01-ita.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/keynumber01-ita.svg|https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/keynumber01-ita.svg\" alt=\"keynumber01-ita\" width=\"100%\" height=\"100%\" \/><figcaption class=\"image-caption block\"><\/figcaption><\/figure>\n<\/div>\n\n<\/div>\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\r\n    \r\n    <div id=\"block_bb7b8cb250a155666f1c826070b29570\" class=\"featured-content row sezione align-center mt-16 mb-16 bg-featured-content\">\r\n        <div class=\"column small-12 medium-8\">\r\n\r\n                            <span class=\"h3 text-center mb-8\">Il futuro dell&#8217;Intelligenza Artificiale<\/span>\r\n            \r\n                            <p class=\"\">Intervista con Gianluca Toscano, Technology Leader Teoresi Group (dicembre 2020)<\/p>\n<div style=\"padding:56.25% 0 0 0;position:relative;\"><iframe src=\"https:\/\/player.vimeo.com\/video\/487897203?texttrack=en&#038;title=0&#038;byline=0&#038;portrait=0\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" frameborder=\"0\" allow=\"autoplay; fullscreen\" allowfullscreen><\/iframe><\/div>\n<p class=\"\"><script src=\"https:\/\/player.vimeo.com\/api\/player.js\"><\/script><\/p>\n            \r\n        <\/div>\r\n    <\/div>\r\n\r\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n\n\n\r\n        <div id=\"block_39be0025ec542c230ecea2c2cd0e168e\" class=\"featured-solutions row sezione mt-16 mb-16 collapse-16 align-center bg-grey-lightest isdark small-up-1 medium-up-2 large-up-3 b-lazy\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/10\/featured-solution-bg-1600x720.jpg\">\r\n\r\n                    <div class=\"description column\">\r\n                <span class=\"title h5 color-white\">Quali sono le soluzioni di Teoresi legate all&#8217;intelligenza artificiale?<\/span>\r\n            <\/div>\r\n        \r\n        \r\n<div class=\"column xsmall-pl-8 xsmall-pr-8 small-pl-8 small-pr-8\">\r\n\t<a href=\"https:\/\/teoresi.sixeleven.it\/solutions\/autonomous-vehicles\/\">\r\n\t\t<div class=\"card solution isdark\" style=\"border:none;\">\r\n\r\n\t\t\t<div class=\"figure-container relative small-ratio-169 medium-ratio-43\">\r\n\r\n\t\t\t\t<div class=\"bg-img b-lazy hero-bg bg-img bg-cover\" style=\"\" data-src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/08\/autonomousvehicles-featured-group-640x427.jpg\" style=\"\" ><\/div>\r\n\t\t\t\t<div class=\"state-box absolute z-10 pin-b pl-6 pb-1\">\r\n\t\t\t\t\t<figure class=\"width-32 fade-in\" style=\"\" data-url=\"\" data-size=\"x\" ><img decoding=\"async\" class=\"b-lazy \" style=\"\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/themes\/FoundationPress\/studio42\/img\/loader-640-43.svg\" itemprop=\"thumbnail\" data-src=\"\" alt=\"Intelligenza Artificiale\" width=\"\" height=\"\" \/><figcaption class=\"image-caption block\"><\/figcaption><\/figure>\t\t\t\t<\/div>\r\n\r\n\t\t\t\t<div class=\"hero-filter\"><\/div>\r\n\r\n\t\t\t<\/div>\r\n\r\n\r\n\t\t\t<div class=\"card-section pt-0 pb-0 bg-gradient-blue flex align-middle\">\r\n\t\t\t\t<!--  -->\r\n\t\t\t\t\t\t\t\t<!--  -->\r\n\t\t\t<\/div>\r\n\r\n\t\t<\/div>\r\n\t<\/a>\r\n<\/div>\r\n    <\/div>\r\n\r\n\n\n\r\n    \r\n    <div id=\"block_b8d09a2bf619d04c1b439777de0b0a87\" class=\"featured-content row sezione align-center mt-16 mb-16 bg-featured-content\">\r\n        <div class=\"column small-12 medium-8\">\r\n\r\n                            <span class=\"h3 text-center mb-8\">I progetti di Intelligenza Artificiale di Teoresi<\/span>\r\n            \r\n                            <p class=\"\">Intervista con Gianluca Toscano, Technology Leader Teoresi Group (dicembre 2020)<\/p>\n<div style=\"padding:56.25% 0 0 0;position:relative;\"><iframe src=\"https:\/\/player.vimeo.com\/video\/487899366?texttrack=en&#038;title=0&#038;byline=0&#038;portrait=0\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" frameborder=\"0\" allow=\"autoplay; fullscreen\" allowfullscreen><\/iframe><\/div>\n<p class=\"\"><script src=\"https:\/\/player.vimeo.com\/api\/player.js\"><\/script><\/p>\n            \r\n        <\/div>\r\n    <\/div>\r\n\r\n\n\n\r\n    \r\n    \r\n        <div id=\"block_850c4ab15a9bbcf7ae9ddce2de2372d2\" class=\"focus-box row mt-16 mb-16 \">\r\n\r\n            <div class=\"column small-12\">\r\n\r\n                                    <div class=\"row sezione align-center collapse-0 bg-grey-lightest\">\r\n\r\n                        <div class=\"focus-box-media column small-12 medium-6 photoswipe-item bg-grey-lighter medium-order-2\">\r\n\r\n                            \r\n                            \r\n                                <figure class=\"pointer relative h-100 overflow-hidden\" title=\"click to zoom-in\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-doe.jpg\" data-size=\"800x800\" itemprop=\"associatedMedia\" itemscope itemtype=\"http:\/\/schema.org\/ImageObject\">\r\n                                    <img decoding=\"async\" class=\"focus-box-image absolute align-self-xy\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-doe-640x640.jpg\" alt=\"\" itemprop=\"thumbnail\" \/>\r\n                                    <svg class=\"icon tg-resize width-8 absolute z-10  pin-b pin-r mr-4 mb-4 color-white\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><polyline points=\"304 96 416 96 416 208\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><line x1=\"405.77\" y1=\"106.2\" x2=\"111.98\" y2=\"400.02\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><polyline points=\"208 416 96 416 96 304\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><\/svg>                                    <div class=\"hero-filter\"><\/div>\r\n                                <\/figure>\r\n\r\n                            \r\n                        <\/div>\r\n\r\n\r\n\r\n                        <div class=\"focus-box-content column small-12 medium-6 p-8 medium-order-1\">\r\n                                                            <span class=\"toptitle fs-xsmall title-line right mb-2\">Project<\/span>\r\n                                                                                        <span class=\"title h5 mb-2\">DOE Design of Experiment<\/span>\r\n                                                        \r\n                            <p class=\"mt-4\">Questo software pu\u00f2 produrre piani di acquisizione sperimentale ridotta, utilizzando un approccio di \u00abriempimento dello spazio\u00bb, e costruire modelli basati su tali acquisizioni per simulare misurazioni reali che abbracciano tutto il dominio di interesse.<br \/>\n\u2022 Per i sistemi complessi (ad esempio il controllo di un motore) sono preferibili tecniche di riempimento dello spazio<br \/>\n\u2022 In questo caso particolare abbiamo utilizzato sequenze di Sobol<\/p>\n                        <\/div>\r\n\r\n\r\n                    <\/div>\r\n\r\n                                    <div class=\"row sezione align-center collapse-0 bg-grey-lightest\">\r\n\r\n                        <div class=\"focus-box-media column small-12 medium-6 photoswipe-item bg-grey-lighter medium-order-1\">\r\n\r\n                            \r\n                            \r\n                                <figure class=\"pointer relative h-100 overflow-hidden\" title=\"click to zoom-in\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-statisticmodel.jpg\" data-size=\"800x800\" itemprop=\"associatedMedia\" itemscope itemtype=\"http:\/\/schema.org\/ImageObject\">\r\n                                    <img decoding=\"async\" class=\"focus-box-image absolute align-self-xy\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-statisticmodel-640x640.jpg\" alt=\"\" itemprop=\"thumbnail\" \/>\r\n                                    <svg class=\"icon tg-resize width-8 absolute z-10  pin-b pin-r mr-4 mb-4 color-white\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><polyline points=\"304 96 416 96 416 208\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><line x1=\"405.77\" y1=\"106.2\" x2=\"111.98\" y2=\"400.02\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><polyline points=\"208 416 96 416 96 304\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><\/svg>                                    <div class=\"hero-filter\"><\/div>\r\n                                <\/figure>\r\n\r\n                            \r\n                        <\/div>\r\n\r\n\r\n\r\n                        <div class=\"focus-box-content column small-12 medium-6 p-8 medium-order-2\">\r\n                                                            <span class=\"toptitle fs-xsmall title-line right mb-2\">Project<\/span>\r\n                                                                                        <span class=\"title h5 mb-2\">Statistical Modelling<\/span>\r\n                                                        \r\n                            <p class=\"mt-4\">E&#8217; un software che modella il processo fisico, mediante tecniche di regressione del processo gaussiano, e utilizza i dati misurati per:<\/p>\n<p class=\"mt-4\">\u2022 Comprendere meglio un fenomeno fisico<br \/>\n\u2022 Ingrandire un set di dati creando misurazioni virtuali<\/p>\n                        <\/div>\r\n\r\n\r\n                    <\/div>\r\n\r\n                                    <div class=\"row sezione align-center collapse-0 bg-grey-lightest\">\r\n\r\n                        <div class=\"focus-box-media column small-12 medium-6 photoswipe-item bg-grey-lighter medium-order-2\">\r\n\r\n                            \r\n                            \r\n                                <figure class=\"pointer relative h-100 overflow-hidden\" title=\"click to zoom-in\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-parametersopt.jpg\" data-size=\"800x800\" itemprop=\"associatedMedia\" itemscope itemtype=\"http:\/\/schema.org\/ImageObject\">\r\n                                    <img decoding=\"async\" class=\"focus-box-image absolute align-self-xy\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-parametersopt-640x640.jpg\" alt=\"\" itemprop=\"thumbnail\" \/>\r\n                                    <svg class=\"icon tg-resize width-8 absolute z-10  pin-b pin-r mr-4 mb-4 color-white\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><polyline points=\"304 96 416 96 416 208\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><line x1=\"405.77\" y1=\"106.2\" x2=\"111.98\" y2=\"400.02\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><polyline points=\"208 416 96 416 96 304\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><\/svg>                                    <div class=\"hero-filter\"><\/div>\r\n                                <\/figure>\r\n\r\n                            \r\n                        <\/div>\r\n\r\n\r\n\r\n                        <div class=\"focus-box-content column small-12 medium-6 p-8 medium-order-1\">\r\n                                                            <span class=\"toptitle fs-xsmall title-line right mb-2\">Project<\/span>\r\n                                                                                        <span class=\"title h5 mb-2\">Parameters optimisation<\/span>\r\n                                                        \r\n                            <p class=\"mt-4\">E&#8217; un software per l&#8217;ottimizzazione matematica, basata su algoritmi genetici, di modelli software generici. Lo scopo principale del software \u00e8 consentire all&#8217;utente di ottimizzare i parametri di un modello Simulink selezionato.<\/p>\n                        <\/div>\r\n\r\n\r\n                    <\/div>\r\n\r\n                                    <div class=\"row sezione align-center collapse-0 bg-grey-lightest\">\r\n\r\n                        <div class=\"focus-box-media column small-12 medium-6 photoswipe-item bg-grey-lighter medium-order-1\">\r\n\r\n                            \r\n                            \r\n                                <figure class=\"pointer relative h-100 overflow-hidden\" title=\"click to zoom-in\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-aiip.jpg\" data-size=\"800x800\" itemprop=\"associatedMedia\" itemscope itemtype=\"http:\/\/schema.org\/ImageObject\">\r\n                                    <img decoding=\"async\" class=\"focus-box-image absolute align-self-xy\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-aiip-640x640.jpg\" alt=\"\" itemprop=\"thumbnail\" \/>\r\n                                    <svg class=\"icon tg-resize width-8 absolute z-10  pin-b pin-r mr-4 mb-4 color-white\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><polyline points=\"304 96 416 96 416 208\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><line x1=\"405.77\" y1=\"106.2\" x2=\"111.98\" y2=\"400.02\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><polyline points=\"208 416 96 416 96 304\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><\/svg>                                    <div class=\"hero-filter\"><\/div>\r\n                                <\/figure>\r\n\r\n                            \r\n                        <\/div>\r\n\r\n\r\n\r\n                        <div class=\"focus-box-content column small-12 medium-6 p-8 medium-order-2\">\r\n                                                            <span class=\"toptitle fs-xsmall title-line right mb-2\">Project<\/span>\r\n                                                                                        <span class=\"title h5 mb-2\">Artificial Intelligence for Image Processing<\/span>\r\n                                                        \r\n                            <p class=\"mt-4\">Il progetto \u00e8 relativo alla realizzazione di un software integrato a bordo veicolo per l\u2019interazione con i dati veicolari (Bus CAN ecc.) e per la visualizzazione su HW dedicato degli eventi ricevuti. \u00e8 stato sviluppato  inoltre un componente per centro servizi per la gestione delle immagini con tecnologie di computer vision.<\/p>\n                        <\/div>\r\n\r\n\r\n                    <\/div>\r\n\r\n                                    <div class=\"row sezione align-center collapse-0 bg-grey-lightest\">\r\n\r\n                        <div class=\"focus-box-media column small-12 medium-6 photoswipe-item bg-grey-lighter medium-order-2\">\r\n\r\n                            \r\n                            \r\n                                <figure class=\"pointer relative h-100 overflow-hidden\" title=\"click to zoom-in\" data-url=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-gitrali.jpg\" data-size=\"800x800\" itemprop=\"associatedMedia\" itemscope itemtype=\"http:\/\/schema.org\/ImageObject\">\r\n                                    <img decoding=\"async\" class=\"focus-box-image absolute align-self-xy\" src=\"https:\/\/teoresi.sixeleven.it\/wp-content\/uploads\/2020\/12\/prj-gitrali-640x640.jpg\" alt=\"\" itemprop=\"thumbnail\" \/>\r\n                                    <svg class=\"icon tg-resize width-8 absolute z-10  pin-b pin-r mr-4 mb-4 color-white\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><polyline points=\"304 96 416 96 416 208\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><line x1=\"405.77\" y1=\"106.2\" x2=\"111.98\" y2=\"400.02\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><polyline points=\"208 416 96 416 96 304\" style=\"fill:none;stroke:#fff;stroke-linecap:round;stroke-linejoin:round;stroke-width:32px\"\/><\/svg>                                    <div class=\"hero-filter\"><\/div>\r\n                                <\/figure>\r\n\r\n                            \r\n                        <\/div>\r\n\r\n\r\n\r\n                        <div class=\"focus-box-content column small-12 medium-6 p-8 medium-order-1\">\r\n                                                            <span class=\"toptitle fs-xsmall title-line right mb-2\">Project<\/span>\r\n                                                                                        <span class=\"title h5 mb-2\">Gitral<\/span>\r\n                                                        \r\n                            <p class=\"mt-4\">Gitral \u00e8 un software Teoresi che permette di riconoscere tutti gli oggetti tipici presenti su un cluster, o pi\u00f9 in generale su un HMI, a partire dagli screenshot presi da telecamere ad alta risoluzione. Gitral \u00e8 in grado di rilevare:<br \/>\n&#8211;\tIcon \/ TellTale Status e frequenza<br \/>\n&#8211;\tLivello e posizione del grafico a barre<br \/>\n&#8211;\tTesto e numero<br \/>\n&#8211;\tGauge position<\/p>\n<p class=\"mt-4\">Lo strumento \u00e8 utile ad esempio in ambiente HIL (Hardware In the Loop) per automatizzare il piano di validazione di software HMI.<br \/>\nInfine il protocollo CAN, tramite messaggi specifici, o il protocollo socket pu\u00f2 essere utilizzato per comunicare con Gitral, quando richiesto.<\/p>\n                        <\/div>\r\n\r\n\r\n                    <\/div>\r\n\r\n                \r\n            <\/div>\r\n\r\n        <\/div>\r\n\r\n    \r\n\n\n\r\n    <span class=\"block p-16\">&nbsp;<\/span>\r\n\r\n\n\n\r\n    <div id=\"block_cde59567a33dd9ee0957980c7d98aa2c\" class=\"row sezione mt-4 align-center\">\r\n        <div class=\"column small-12 medium-10 large-8 text-center\">\r\n                                        <span class=\"title h3 fw-700 mb-2 dot-after\"> Invia un messaggio, la persona giusta risponder\u00e0<\/span>\r\n                                <\/div>\r\n    <\/div>\r\n\r\n\n\n\r\n        <div id=\"block_a040cfd4263bd2547e77890e81dcaad1\" class=\"\">\r\n            \n<div class=\"wpcf7 no-js\" id=\"wpcf7-f1053-o1\" lang=\"en-US\" dir=\"ltr\" data-wpcf7-id=\"1053\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/it\/wp-json\/wp\/v2\/pages\/7057#wpcf7-f1053-o1\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Contact form\" novalidate=\"novalidate\" data-status=\"init\">\n<fieldset class=\"hidden-fields-container\"><input type=\"hidden\" name=\"_wpcf7\" value=\"1053\" \/><input type=\"hidden\" name=\"_wpcf7_version\" value=\"6.1.5\" \/><input type=\"hidden\" name=\"_wpcf7_locale\" value=\"en_US\" \/><input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f1053-o1\" \/><input type=\"hidden\" 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).getTime() );<\/script><\/p><div class=\"wpcf7-response-output\" aria-hidden=\"true\"><\/div>\n<\/form>\n<\/div>\n        <\/div>\r\n\r\n\n\n\r\n    <span class=\"block p-8\">&nbsp;<\/span>\r\n\r\n","protected":false},"excerpt":{"rendered":"<p class=\"excerpt\">Sensori per la percezione dell&#8217;ambiente Ad esempio fotocamere, microfoni, una tastiera o altri dispositivi di input, nonch\u00e9 sensori fisici per misurare ad esempio temperatura, pressione, distanza.&nbsp; Ad un sistema di AI occorrono sensori adeguati per percepire i dati presenti nell&#8217;ambiente che risultano rilevanti per l&#8217;obiettivo assegnato. Algoritmi di elaborazione e algoritmi decisionali I dati che sono stati catturati dai sensori&#8230;<\/p>\n","protected":false},"author":7,"featured_media":6642,"parent":7420,"menu_order":9,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-7057","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Intelligenza Artificiale - Teoresi Group<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intelligenza Artificiale - Teoresi Group\" \/>\n<meta property=\"og:description\" content=\"Sensori per la percezione dell&#8217;ambiente Ad esempio fotocamere, microfoni, una tastiera o altri dispositivi di input, nonch\u00e9 sensori fisici per misurare ad esempio temperatura, pressione, distanza.&nbsp; Ad un sistema di AI occorrono sensori adeguati per percepire i dati presenti nell&#8217;ambiente che risultano rilevanti per l&#8217;obiettivo assegnato. 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