{"id":8842,"date":"2024-01-03T20:16:59","date_gmt":"2024-01-03T20:16:59","guid":{"rendered":"https:\/\/dailyai.com\/?p=8842"},"modified":"2024-01-04T11:12:34","modified_gmt":"2024-01-04T11:12:34","slug":"oxford-university-study-demonstrate-how-biological-learning-trumps-ai","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2024\/01\/oxford-university-study-demonstrate-how-biological-learning-trumps-ai\/","title":{"rendered":"Estudo da Universidade de Oxford demonstra como a aprendizagem biol\u00f3gica supera a IA"},"content":{"rendered":"<p><b>Investigadores da Unidade de Din\u00e2mica de Redes Cerebrais do MRC e do Departamento de Inform\u00e1tica da Universidade de Oxford identificaram um novo meio de comparar a aprendizagem em sistemas de IA e no c\u00e9rebro humano.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">O estudo come\u00e7a por abordar uma quest\u00e3o fundamental tanto na aprendizagem humana como na aprendizagem autom\u00e1tica: a atribui\u00e7\u00e3o de cr\u00e9ditos. Este conceito identifica quais as partes do processo de aprendizagem respons\u00e1veis pelos erros, o que \u00e9 intr\u00ednseco ao pr\u00f3prio processo de aprendizagem.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Os sistemas de IA abordam esta quest\u00e3o atrav\u00e9s da retropropaga\u00e7\u00e3o, ajustando os par\u00e2metros para corrigir erros na sa\u00edda.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A retropropaga\u00e7\u00e3o funciona como um ciclo de feedback. Quando uma IA efectua uma previs\u00e3o ou toma uma decis\u00e3o que se revela incorrecta, este m\u00e9todo retrocede atrav\u00e9s das camadas da rede.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">O processo identifica as partes do c\u00e1lculo que contribu\u00edram para o erro e, em seguida, ajusta essas partes espec\u00edficas, refinando efetivamente o processo de tomada de decis\u00f5es da IA para previs\u00f5es futuras.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">O <\/span><a href=\"https:\/\/www.nature.com\/articles\/s41593-023-01514-1\"><span style=\"font-weight: 400;\">estudo<\/span><\/a><span style=\"font-weight: 400;\">publicado na Nature Neuroscience, explica como a retropropaga\u00e7\u00e3o difere significativamente do m\u00e9todo de aprendizagem do c\u00e9rebro humano.\u00a0<\/span><\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Nova investiga\u00e7\u00e3o da <a href=\"https:\/\/twitter.com\/MRCBNDU?ref_src=twsrc%5Etfw\">@MRCBNDU<\/a> mostra que a forma como o c\u00e9rebro aprende \u00e9 diferente e melhor do que a forma como os sistemas de intelig\u00eancia artificial aprendem: <a href=\"https:\/\/t.co\/Tg1d9vdsKy\">https:\/\/t.co\/Tg1d9vdsKy<\/a><a href=\"https:\/\/twitter.com\/hashtag\/OxfordAI?src=hash&amp;ref_src=twsrc%5Etfw\">#OxfordAI<\/a><\/p>\n<p>- Departamento de Neuroci\u00eancias Cl\u00ednicas de Nuffield (@NDCNOxford) <a href=\"https:\/\/twitter.com\/NDCNOxford\/status\/1742493014793097510?ref_src=twsrc%5Etfw\">3 de janeiro de 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>Embora a IA se baseie tradicionalmente na retropropaga\u00e7\u00e3o para resolver os erros, os investigadores prop\u00f5em que o c\u00e9rebro realize as mesmas tarefas atrav\u00e9s de um processo denominado \"configura\u00e7\u00e3o prospetiva\".<\/p>\n<p><span style=\"font-weight: 400;\">Na configura\u00e7\u00e3o prospetiva, o c\u00e9rebro, em vez de ajustar diretamente as liga\u00e7\u00f5es com base nos erros, come\u00e7a por prever o padr\u00e3o ideal de atividade neural resultante da aprendizagem. S\u00f3 depois desta previs\u00e3o \u00e9 que ocorrem altera\u00e7\u00f5es nas liga\u00e7\u00f5es neuronais.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Este m\u00e9todo contrasta com a retropropaga\u00e7\u00e3o utilizada na IA, em que o processo \u00e9 invertido - os ajustes de liga\u00e7\u00e3o conduzem e as altera\u00e7\u00f5es na atividade neural seguem.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Crucialmente, a configura\u00e7\u00e3o prospetiva, uma abordagem provavelmente partilhada por praticamente todos os c\u00e9rebros biol\u00f3gicos, oferece um mecanismo de aprendizagem mais eficiente do que a retropropaga\u00e7\u00e3o.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ao contr\u00e1rio da IA, os seres humanos podem ingerir rapidamente novas informa\u00e7\u00f5es com um m\u00ednimo de exposi\u00e7\u00e3o e sem desgastar os conhecimentos existentes, uma capacidade que a IA tem dificuldade em igualar. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Esta estrat\u00e9gia n\u00e3o s\u00f3 preserva os conhecimentos existentes como tamb\u00e9m acelera o processo de aprendizagem.<\/span><\/p>\n<h2>Ainda h\u00e1 vida no velho c\u00e9rebro humano<\/h2>\n<p><span style=\"font-weight: 400;\">A equipa ilustra este conceito com uma analogia. Imagine um urso a pescar salm\u00e3o: utiliza a vis\u00e3o do rio e o cheiro do salm\u00e3o para prever o sucesso.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Se, de repente, o urso n\u00e3o conseguir ouvir o rio devido a um ouvido danificado, um modelo de IA assumiria incorretamente a aus\u00eancia de salm\u00e3o.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Em contrapartida, o c\u00e9rebro do animal, operando em configura\u00e7\u00e3o prospetiva, continuaria a basear-se no cheiro para deduzir a presen\u00e7a do salm\u00e3o.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Esta teoria, apoiada por simula\u00e7\u00f5es inform\u00e1ticas, demonstra que os modelos que utilizam a configura\u00e7\u00e3o prospetiva superam as redes neuronais de IA tradicionais em termos de efici\u00eancia de aprendizagem.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">O Professor Rafal Bogacz, investigador principal da Unidade de Din\u00e2mica da Rede Cerebral do MRC e do Departamento Nuffield de Neuroci\u00eancias Cl\u00ednicas de Oxford, <\/span><a href=\"https:\/\/www.ox.ac.uk\/news\/2024-01-03-study-shows-way-brain-learns-different-way-artificial-intelligence-systems-learn\"><span style=\"font-weight: 400;\">descri\u00e7\u00e3o do estudo<\/span><\/a><span style=\"font-weight: 400;\">: \"Existe atualmente um grande fosso entre os modelos abstractos que realizam a configura\u00e7\u00e3o prospetiva e o nosso conhecimento detalhado da anatomia das redes cerebrais\".<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"A investiga\u00e7\u00e3o futura do nosso grupo visa colmatar a lacuna entre modelos abstractos e c\u00e9rebros reais, e compreender como o algoritmo de configura\u00e7\u00e3o prospetiva \u00e9 implementado em redes corticais identificadas anatomicamente\".<\/span><\/p>\n<p><span style=\"font-weight: 400;\">O coautor, Dr. Yuhang Song, acrescenta ainda: \"No caso da aprendizagem autom\u00e1tica, a simula\u00e7\u00e3o da configura\u00e7\u00e3o prospetiva nos computadores existentes \u00e9 lenta, porque estes funcionam de forma fundamentalmente diferente do c\u00e9rebro biol\u00f3gico. \u00c9 necess\u00e1rio desenvolver um novo tipo de computador ou hardware dedicado inspirado no c\u00e9rebro, que seja capaz de implementar a configura\u00e7\u00e3o prospetiva rapidamente e com pouco consumo de energia.\"<\/span><\/p>\n<h2>A IA bio-inspirada est\u00e1 na calha<\/h2>\n<p><a href=\"https:\/\/dailyai.com\/pt\/2023\/08\/the-evolution-of-bio-inspired-ai-developments-and-future-direction\/\"><span style=\"font-weight: 400;\">IA bio-inspirada<\/span><\/a><span style=\"font-weight: 400;\">tamb\u00e9m designada por IA neurom\u00f3rfica, tem por objetivo criar sistemas capazes de sentir, pensar e comportar-se de forma semelhante aos organismos naturais. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">I<\/span><span style=\"font-weight: 400;\">O objetivo \u00e9 a eleg\u00e2ncia, a adaptabilidade e a efici\u00eancia energ\u00e9tica - atributos inerentes aos sistemas biol\u00f3gicos.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">O c\u00e9rebro humano, com a sua utiliza\u00e7\u00e3o eficiente da energia e a sua capacidade de prosperar em ambientes variados, continua a superar a IA em numerosas disciplinas e aplica\u00e7\u00f5es. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">De facto, o nosso c\u00e9rebro, com uma pot\u00eancia m\u00ednima, \u00e9 consciente - <\/span><a href=\"https:\/\/dailyai.com\/pt\/2023\/09\/are-current-ai-systems-exhibiting-any-signs-of-consciousness\/\"><span style=\"font-weight: 400;\">um marco que a IA ainda n\u00e3o atingiu, segundo a maioria das estimativas<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Em contraste com as exig\u00eancias colossais de energia dos actuais modelos de IA, como o ChatGPT, que requerem milhares de GPUs \u00e1vidas de energia, a IA de inspira\u00e7\u00e3o biol\u00f3gica visa desenvolver sistemas mais sustent\u00e1veis e adapt\u00e1veis.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ultimamente, t\u00eam-se registado progressos neste dom\u00ednio, com a IBM e a Rain AI <\/span><a href=\"https:\/\/dailyai.com\/pt\/2023\/10\/ibm-northpole-chip-promises-faster-low-energy-ai-processing\/\"><span style=\"font-weight: 400;\">desenvolvimento de chips de baixo consumo<\/span><\/a><span style=\"font-weight: 400;\"> modelado em fun\u00e7\u00f5es sin\u00e1pticas.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sam Altman, Diretor Executivo da OpenAI <\/span><a href=\"https:\/\/dailyai.com\/pt\/2023\/12\/openai-setup-a-multi-million-deal-to-buy-chips-from-altman-backed-company\/\"><span style=\"font-weight: 400;\">chuva apoiada IA<\/span><\/a><span style=\"font-weight: 400;\"> no ano passado, e a OpenAI pretendia obter milh\u00f5es de d\u00f3lares em chips.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Outras abordagens inovadoras \u00e0 IA bio-inspirada <\/span><a href=\"https:\/\/dailyai.com\/pt\/2023\/08\/ex-google-researchers-establish-an-innovative-bio-inspired-ai-startup\/\"><span style=\"font-weight: 400;\">incluir a intelig\u00eancia de enxame<\/span><\/a><span style=\"font-weight: 400;\">que procura imitar a tomada de decis\u00f5es colectiva de grupos de insectos, aves e peixes.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00c0 medida que este campo progride, promete colmatar as lacunas identificadas nos modelos tradicionais de IA, conduzindo-nos a um futuro em que as m\u00e1quinas n\u00e3o s\u00e3o apenas ferramentas, mas entidades com um certo grau de autonomia e intera\u00e7\u00e3o ambiental.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">No entanto, como demonstra o estudo de Oxford, h\u00e1 quest\u00f5es fundamentais a que a IA tem de responder antes de poder igualar os c\u00e9rebros biol\u00f3gicos.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Investigadores da Unidade de Din\u00e2mica de Redes Cerebrais do MRC e do Departamento de Inform\u00e1tica da Universidade de Oxford identificaram um novo meio de comparar a aprendizagem em sistemas de IA e no c\u00e9rebro humano.  O estudo come\u00e7a por abordar uma quest\u00e3o fundamental tanto na aprendizagem humana como na aprendizagem autom\u00e1tica: a atribui\u00e7\u00e3o de cr\u00e9ditos. Este conceito identifica as partes do processo de aprendizagem que s\u00e3o respons\u00e1veis pelos erros, o que \u00e9 intr\u00ednseco ao pr\u00f3prio processo de aprendizagem.  Os sistemas de IA abordam esta quest\u00e3o atrav\u00e9s da retropropaga\u00e7\u00e3o, ajustando os par\u00e2metros para corrigir os erros nos resultados.  A retropropaga\u00e7\u00e3o funciona como um ciclo de feedback. Quando uma IA faz uma previs\u00e3o ou toma uma decis\u00e3o que se revela incorrecta,<\/p>","protected":false},"author":2,"featured_media":8843,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[350,510,331],"class_list":["post-8842","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-bio-inspired-ai","tag-neuromorphic-computing","tag-neuroscience"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Oxford University study demonstrates how biological learning trumps AI | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers from the MRC Brain Network Dynamics Unit and Oxford University\u2019s Department of Computer Science have identified a novel means for comparing learning in AI systems and the human brain.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/pt\/2024\/01\/oxford-university-study-demonstrate-how-biological-learning-trumps-ai\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Oxford University study demonstrates how biological learning trumps AI | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from the MRC Brain Network Dynamics Unit and Oxford University\u2019s Department of Computer Science have identified a novel means for comparing learning in AI systems and the human brain.\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/pt\/2024\/01\/oxford-university-study-demonstrate-how-biological-learning-trumps-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-03T20:16:59+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-04T11:12:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/shutterstock_2140344435.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"563\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sam Jeans\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sam Jeans\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo estimado de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/oxford-university-study-demonstrate-how-biological-learning-trumps-ai\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/oxford-university-study-demonstrate-how-biological-learning-trumps-ai\\\/\"},\"author\":{\"name\":\"Sam Jeans\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/711e81f945549438e8bbc579efdeb3c9\"},\"headline\":\"Oxford University study demonstrates how biological learning trumps AI\",\"datePublished\":\"2024-01-03T20:16:59+00:00\",\"dateModified\":\"2024-01-04T11:12:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/oxford-university-study-demonstrate-how-biological-learning-trumps-ai\\\/\"},\"wordCount\":813,\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/oxford-university-study-demonstrate-how-biological-learning-trumps-ai\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/01\\\/shutterstock_2140344435.jpg\",\"keywords\":[\"Bio-inspired AI\",\"Neuromorphic computing\",\"Neuroscience\"],\"articleSection\":[\"Ethics &amp; 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