#AlphaGo

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Teixi<a href="https://mastodon.social/tags/ACMPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ACMPrize</a> <a href="https://mastodon.social/tags/2024ACMPrize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#2024ACMPrize</a> <a href="https://mastodon.social/tags/ACMTuringAward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ACMTuringAward</a><a href="https://mastodon.social/tags/AndrewBarto" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AndrewBarto</a> <a href="https://mastodon.social/tags/RichardSutton" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RichardSutton</a> » <a href="https://mastodon.social/tags/ReinforcementLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ReinforcementLearning</a> An Introduction 1998 standard reference...cited over 75,000 ... prominent example of <a href="https://mastodon.social/tags/RL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RL</a> <a href="https://mastodon.social/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AlphaGo</a> victory over best human <a href="https://mastodon.social/tags/Go" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Go</a> players 2016 2017 .... recently has been the development of the chatbot <a href="https://mastodon.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ChatGPT</a> ... large language model <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLM</a> trained in two phases ...employs a technique called reinforcement learning from human feedback <a href="https://mastodon.social/tags/RLHF" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RLHF</a> «aka cheap labor unnamed in papers<a href="https://awards.acm.org/about/2024-turing" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://awards.acm.org/about/2024-turing</a>2/2

LavX NewsReinforcement Learning Revolution: Turing Prize Winners Shape AI's FutureThe recent Turing Award honors Andrew G. Barto and Richard S. Sutton for their groundbreaking work in reinforcement learning, a technique that has become essential in modern AI applications. Their con...<a href="https://news.lavx.hu/article/reinforcement-learning-revolution-turing-prize-winners-shape-ai-s-future" rel="nofollow noopener noreferrer" target="_blank">https://news.lavx.hu/article/reinforcement-learning-revolution-turing-prize-winners-shape-ai-s-future</a><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://mastodon.cloud/tags/ReinforcementLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ReinforcementLearning</a> <a href="https://mastodon.cloud/tags/TuringAward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TuringAward</a> <a href="https://mastodon.cloud/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AlphaGo</a>

Socied@d ReticularPequeños y grandes pasos hacia el imperio de la inteligencia artificial<a href="https://mas.to/@echo_xc@mastodon.social/113971286060501063" rel="nofollow noopener noreferrer" target="_blank"></a>Fuente: Open TechTraducción de la infografía:<ul><li>1943 – McCullock y Pitts publican un artículo titulado Un cálculo lógico de ideas inmanentes en la actividad nerviosa, en el que proponen las bases para las redes neuronales.</li></ul><ul><li>1950 – Turing publica Computing Machinery and Intelligence, proponiendo el Test de Turing como forma de medir la capacidad de una máquina.</li></ul><ul><li>1951 – Marvin Minsky y Dean Edmonds construyen SNAR, la primera computadora de red neuronal.</li></ul><ul><li>1956 – Se celebra la Conferencia de Dartmouth (organizada por McCarthy, Minsky, Rochester y Shannon), que marca el nacimiento de la IA como campo de estudio.</li></ul><ul><li>1957 – Rosenblatt desarrolla el Perceptrón: la primera red neuronal artificial capaz de aprender.</li></ul>(!!) Test de Turing: donde un evaluador humano entabla una conversación en lenguaje natural con una máquina y un humano.<ul><li>1965 – Weizenbaum desarrolla ELIZA: un programa de procesamiento del lenguaje natural que simula una conversación.</li></ul><ul><li>1967 – Newell y Simon desarrollan el Solucionador General de Problemas (GPS), uno de los primeros programas de IA que demuestra una capacidad de resolución de problemas similar a la humana.</li></ul><ul><li>1974 – Comienza el primer invierno de la IA, marcado por una disminución de la financiación y del interés en la investigación en IA debido a expectativas poco realistas y a un progreso limitado.</li></ul><ul><li>1980 – Los sistemas expertos ganan popularidad y las empresas los utilizan para realizar previsiones financieras y diagnósticos médicos.</li></ul><ul><li>1986 – Hinton, Rumelhart y Williams publican Aprendizaje de representaciones mediante retropropagación de errores, que permite entrenar redes neuronales mucho más profundas.</li></ul>(!!) Redes neuronales: modelos de aprendizaje automático que imitan el cerebro y aprenden a reconocer patrones y hacer predicciones a través de conexiones neuronales artificiales.<ul><li>1997 – Deep Blue de IBM derrota al campeón mundial de ajedrez Kasparov, siendo la primera vez que una computadora vence a un campeón mundial en un juego complejo.</li></ul><ul><li>2002 – iRobot presenta Roomba, el primer robot aspirador doméstico producido en serie con un sistema de navegación impulsado por IA.</li></ul><ul><li>2011 – Watson de IBM derrota a dos ex campeones de Jeopardy!.</li></ul><ul><li>2012 – La startup de inteligencia artificial DeepMind desarrolla una red neuronal profunda que puede reconocer gatos en vídeos de YouTube.</li></ul><ul><li>2014 – Facebook crea DeepFace, un sistema de reconocimiento facial que puede reconocer rostros con una precisión casi humana.</li></ul>(!!) DeepMind fue adquirida por Google en 2014 por 500 millones de dólares.<ul><li>2015 – AlphaGo, desarrollado por DeepMind, derrota al campeón mundial Lee Sedol en el juego de Go.</li></ul><ul><li>2017 – AlphaZero de Google derrota a los mejores motores de ajedrez y shogi del mundo en una serie de partidas.</li></ul><ul><li>2020 – OpenAI lanza GPT-3, lo que marca un avance significativo en el procesamiento del lenguaje natural.</li></ul>(!!) Procesamiento del lenguaje natural: enseña a las computadoras a comprender y utilizar el lenguaje humano mediante técnicas como el aprendizaje automático.<ul><li>2021 – AlphaFold2 de DeepMind resuelve el problema del plegamiento de proteínas, allanando el camino para nuevos descubrimientos de fármacos y avances médicos.</li></ul><ul><li>2022 – Google despide al ingeniero Blake Lemoine por sus afirmaciones de que el modelo de lenguaje para aplicaciones de diálogo (LaMDA) de Google era sensible.</li></ul><ul><li>2023 – Artistas presentaron una demanda colectiva contra Stability AI, DeviantArt y Mid-journey por usar Stable Diffusion para remezclar las obras protegidas por derechos de autor de millones de artistas.</li></ul>Gráfico: <a href="https://mas.to/@echo_xc@mastodon.social/113971286060501063" rel="nofollow noopener noreferrer" target="_blank">Open Tech</a> / <a href="https://www.genuineimpact.io/" rel="nofollow noopener noreferrer" target="_blank">Genuine Impact</a>Entradas relacionadas<ul><li><a href="https://anselmolucio.wordpress.com/2025/01/31/como-definir-la-credibilidad-algoritmica-deepseek-da-en-el-clavo/" rel="nofollow noopener noreferrer" target="_blank">¿Cómo definir la «credibilidad algorítmica»? DeepSeek da en el clavo</a></li><li><a href="https://anselmolucio.wordpress.com/2024/12/16/los-precios-dinamicos-exacerban-la-desigualdad-entre-los-consumidores-hay-que-regularlos-ya/" rel="nofollow noopener noreferrer" target="_blank">Los precios dinámicos exacerban la desigualdad entre los consumidores, hay que regularlos ya</a></li><li><a href="https://anselmolucio.wordpress.com/2021/02/22/firma-contra-la-vigilancia-biometrica-masiva/" rel="nofollow noopener noreferrer" target="_blank">Firma contra la vigilancia biométrica masiva</a></li></ul><a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://anselmolucio.wordpress.com/tag/ajedrez/" target="_blank">#ajedrez</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://anselmolucio.wordpress.com/tag/alphafold2/" target="_blank">#AlphaFold2</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://anselmolucio.wordpress.com/tag/alphago/" 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Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇺🇦 🇨🇦 🇩🇰 🇬🇱Le moment <a href="https://mastodon.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepSeek</a> (2025) est la conséquence du moment <a href="https://mastodon.social/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AlphaGo</a> (2010) de <a href="https://mastodon.social/tags/Google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Google</a> <a href="https://mastodon.social/tags/Deepmind" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Deepmind</a> : il a été vécu comme le moment <a href="https://mastodon.social/tags/Spoutnik" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Spoutnik</a> (1957) de la <a href="https://mastodon.social/tags/Chine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Chine</a> pour l' <a href="https://mastodon.social/tags/IA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#IA</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a><a href="https://www.numerama.com/tech/1894778-alphago-comment-la-raclee-subie-par-la-chine-au-go-explique-deepseek-aujourdhui.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.numerama.com/tech/1894778-alphago-comment-la-raclee-subie-par-la-chine-au-go-explique-deepseek-aujourdhui.html</a>

Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇺🇦 🇨🇦 🇩🇰 🇬🇱Le moment <a href="https://bsky.app/search?q=%23DeepSeek" rel="nofollow noopener noreferrer" target="_blank">#DeepSeek</a> (2025) est la conséquence du moment <a href="https://bsky.app/search?q=%23AlphaGo" rel="nofollow noopener noreferrer" target="_blank">#AlphaGo</a> (2010) de <a href="https://bsky.app/search?q=%23Google" rel="nofollow noopener noreferrer" target="_blank">#Google</a> <a href="https://bsky.app/search?q=%23Deepmind" rel="nofollow noopener noreferrer" target="_blank">#Deepmind</a> : il a été vécu comme le moment <a href="https://bsky.app/search?q=%23Spoutnik" rel="nofollow noopener noreferrer" target="_blank">#Spoutnik</a> (1957) de la <a href="https://bsky.app/search?q=%23Chine" rel="nofollow noopener noreferrer" target="_blank">#Chine</a> pour l' <a href="https://bsky.app/search?q=%23IA" rel="nofollow noopener noreferrer" target="_blank">#IA</a> <a href="https://bsky.app/search?q=%23AI" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://www.numerama.com/tech/1894778-alphago-comment-la-raclee-subie-par-la-chine-au-go-explique-deepseek-aujourdhui.html" rel="nofollow noopener noreferrer" target="_blank">www.numerama.com/tech/1894778...</a> <a href="https://www.numerama.com/tech/1894778-alphago-comment-la-raclee-subie-par-la-chine-au-go-explique-deepseek-aujourdhui.html" rel="nofollow noopener noreferrer" target="_blank">Comment AlphaGo a joué un rôle...</a>

rexi<a href="https://techxplore.com/news/2024-12-ai-human-general-intelligence.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://techxplore.com/news/2024-12-ai-human-general-intelligence.html</a><a href="https://mastodon.social/tags/OpenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenAI</a> started with a general-purpose version of the <a href="https://mastodon.social/tags/o3system" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#o3system</a> (which…can spend more time "thinking" about difficult questions) and then trained it specifically for the ARC-AGI test.French <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> researcher Francois Chollet…believes o3 searches through different "chains of thought" describing steps to solve the task. It would then choose the "best"…"not dissimilar" to how <a href="https://mastodon.social/tags/Google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Google</a> <a href="https://mastodon.social/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AlphaGo</a> system…beat the world Go champion.

🅴🆁🆄🅰 🇷🇺Попробовал как играют современные нейронки в #<a class="" href="https://hub.hubzilla.de/search?tag=%D0%93%D0%BE" rel="nofollow noopener noreferrer" target="_blank">Го</a> на домашнем десктопе с простенькой видяхой, open source варианты, свободные. Затем, что современные значимые и серьёзные успехи «искусственного интеллекта» пошли в массы с эпопеи вокруг #<a class="" href="https://hub.hubzilla.de/search?tag=AlphaGo" rel="nofollow noopener noreferrer" target="_blank">AlphaGo</a>, которое за три-четыре года развития изменилось сильно и в размерах и скорости работы, хорошо задокументированно и всячески изучено. Так вот, прошло изрядно лет уже с тех пор как AlphaGo остановилось в развитии, достигнув апогея (AlphaGo Zero), и где свободные аналоги? Пусть и заточенные именно для игры в Го и только для неё. Отыскался <a href="https://github.com/lightvector/KataGo?tab=readme-ov-file#" rel="nofollow noopener noreferrer" target="_blank">движок KataGo</a>, вроде по тем же принципам, что и последние варианты AlphaGo, с уже обученными сетками, которые регулярно обновляются дообучаясь. #<a class="" href="https://hub.hubzilla.de/search?tag=KataGo" rel="nofollow noopener noreferrer" target="_blank">KataGo</a> вариант использующий видеокарту, #<a class="" href="https://hub.hubzilla.de/search?tag=OpenCL" rel="nofollow noopener noreferrer" target="_blank">OpenCL</a>, сходу не завёлся — пришлось погонять сперва вариант для #<a class="" href="https://hub.hubzilla.de/search?tag=CPU" rel="nofollow noopener noreferrer" target="_blank">CPU</a>, чтобы подобрать GUI для использования движка: #<a class="" href="https://hub.hubzilla.de/search?tag=Sabaki" rel="nofollow noopener noreferrer" target="_blank">Sabaki</a>, #<a class="" href="https://hub.hubzilla.de/search?tag=q5Go" rel="nofollow noopener noreferrer" target="_blank">q5Go</a>. Заценив работу движка и шум системы охлаждения процессора — уже переключился на OpenCL-вариант. Для чего пришлось сносить из системы всё про #<a class="" href="https://hub.hubzilla.de/search?tag=Mesa" rel="nofollow noopener noreferrer" target="_blank">Mesa</a> и ставить «opencl-amd» на #<a class="" href="https://hub.hubzilla.de/search?tag=ArchLinux" rel="nofollow noopener noreferrer" target="_blank">ArchLinux</a>. И оно того стоит, не только потому что реально быстрее работает в плане ходов да подсчёта всякой аналитики, но главное комп перестал надрываться работой системы охлаждения. Памяти на видяхе KataGo отжирает порядка гигабайта, может полутора. Однако, у меня и режим работы выбран с дополнительной нейронкой для подражания человеку в плане манеры игры, ссылки на этот вариант работы движка есть в readme. Планшеты и мобильники? Для #<a class="" href="https://hub.hubzilla.de/search?tag=android" rel="nofollow noopener noreferrer" target="_blank">android</a> тоже есть вариант KataGo — зовётся #<a class="" href="https://hub.hubzilla.de/search?tag=BadukAI" rel="nofollow noopener noreferrer" target="_blank">BadukAI</a>, доступен и в Google'ом и Amazon'овском маркете <a href="https://play.google.com/store/apps/details?id=net.kir.baduk_ai&hl=en-US" rel="nofollow noopener noreferrer" target="_blank">ссылка</a>, а так же через альтернативные клиенты. Если в #<a class="" href="https://hub.hubzilla.de/search?tag=Aurora" rel="nofollow noopener noreferrer" target="_blank">Aurora</a> не работает вдруг поиск, то ссылку ту можно открыть/отправить в #<a class="" href="https://hub.hubzilla.de/search?tag=Aurora" rel="nofollow noopener noreferrer" target="_blank">Aurora</a> и откроет спокойно. Что на счёт GUI? Прежде чем гонять движки разные, имеет смысл опробовать <a href="https://www.gnu.org/software/gnugo/" rel="nofollow noopener noreferrer" target="_blank">GNU Go</a> — это который про игру в #<a class="" href="https://hub.hubzilla.de/search?tag=%D0%93%D0%BE" rel="nofollow noopener noreferrer" target="_blank">Го</a> с компьютером, оно же «Бадук» у корейцев и «Вэйци» у китайцев (откуда якобы и пришло). GNU Go есть у всех линухов в репозиториях и доступен любому желающему поиграть в Го через #<a class="" href="https://hub.hubzilla.de/search?tag=Kigo" rel="nofollow noopener noreferrer" target="_blank">Kigo</a>, #<a class="" href="https://hub.hubzilla.de/search?tag=qGo" rel="nofollow noopener noreferrer" target="_blank">qGo</a>, #<a class="" href="https://hub.hubzilla.de/search?tag=q5Go" rel="nofollow noopener noreferrer" target="_blank">q5Go</a>, #<a class="" href="https://hub.hubzilla.de/search?tag=Sabaki" rel="nofollow noopener noreferrer" target="_blank">Sabaki</a>, #<a class="" href="https://hub.hubzilla.de/search?tag=KaTrain" rel="nofollow noopener noreferrer" target="_blank">KaTrain</a>, #<a class="" href="https://hub.hubzilla.de/search?tag=Lizzie" rel="nofollow noopener noreferrer" target="_blank">Lizzie</a>. Если выбранная GUI'шная софтина работает с GNU Go, то будет работать (должны) и со всякими другими движками для игры в Го, потому что используется gtp режим. Сложность лишь в том, что порой GNU Go путают с GNU'шным компилятором Golang — который называется иначе: <a href="https://go.dev/doc/install/gccgo" rel="nofollow noopener noreferrer" target="_blank">GCC Go</a>. Альтернативы нейронкам? Есть вариант сугубо на базе #<a class="" href="https://hub.hubzilla.de/search?tag=MCTS" rel="nofollow noopener noreferrer" target="_blank">MCTS</a> (который Monte Carlo tree search) — ощутимо получше GNU Go и более относительно современное — #<a class="" href="https://hub.hubzilla.de/search?tag=Pachi" rel="nofollow noopener noreferrer" target="_blank">Pachi</a> Работает на десктопе серьёзно нагружая систему, имеет кучу заморочек на тему подключения движка дополнительного для #<a class="" href="https://hub.hubzilla.de/search?tag=joseki" rel="nofollow noopener noreferrer" target="_blank">joseki</a>, не сказать чтобы весёлый вариант. Однако, если ставить на android-устройство, то существует небольшой <a href="https://play.google.com/store/apps/details?id=net.lrstudios.android.pachi" rel="nofollow noopener noreferrer" target="_blank">вариант</a>, размером менее трёх мегабайт, который вполне шустро работает. #<a class="" href="https://hub.hubzilla.de/search?tag=AI" rel="nofollow noopener noreferrer" target="_blank">AI</a> #<a class="" href="https://hub.hubzilla.de/search?tag=%D0%98%D0%98" rel="nofollow noopener noreferrer" target="_blank">ИИ</a> #<a class="" href="https://hub.hubzilla.de/search?tag=games" rel="nofollow noopener noreferrer" target="_blank">games</a> #<a class="" href="https://hub.hubzilla.de/search?tag=gaming" rel="nofollow noopener noreferrer" target="_blank">gaming</a> #<a class="" href="https://hub.hubzilla.de/search?tag=%D0%B3%D0%BE" rel="nofollow noopener noreferrer" target="_blank">го</a> #<a class="" href="https://hub.hubzilla.de/search?tag=igo" rel="nofollow noopener noreferrer" target="_blank">igo</a> #<a class="" href="https://hub.hubzilla.de/search?tag=baduk" rel="nofollow noopener noreferrer" target="_blank">baduk</a> #<a class="" href="https://hub.hubzilla.de/search?tag=%D0%B1%D0%B0%D0%B4%D1%83%D0%BA" rel="nofollow noopener noreferrer" target="_blank">бадук</a> #<a class="" href="https://hub.hubzilla.de/search?tag=weiqi" rel="nofollow noopener noreferrer" target="_blank">weiqi</a> #<a class="" href="https://hub.hubzilla.de/search?tag=%D0%B2%D1%8D%D0%B9%D1%86%D0%B8" rel="nofollow noopener noreferrer" target="_blank">вэйци</a> #<a class="" href="https://hub.hubzilla.de/search?tag=lang_ru" rel="nofollow noopener noreferrer" target="_blank">lang_ru</a> @<a href="https://3zi.ru/@Russia" rel="nofollow noopener noreferrer" target="_blank">Russia</a>

🔘 G◍M◍◍T 🔘💡 Gemini AI, Google ritarda il lancio del nuovo modello IA a gennaio Google ritarda il lancio del modello Gemini AI a gennaio a causa di alcune preoccupazioni. Il modello, che mira a rivaleggiare con il GPT-4 di OpenAI, promette capacità multimodali e supporto linguistico globale.<a href="https://gomoot.com/gemini-ai-google-ritarda-il-lancio-del-nuovo-modello-ia-a-gennaio/" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://gomoot.com/gemini-ai-google-ritarda-il-lancio-del-nuovo-modello-ia-a-gennaio/</a> <a href="https://mastodon.uno/tags/AI" class="mention hashtag" rel="tag">#AI</a> <a href="https://mastodon.uno/tags/alphago" class="mention hashtag" rel="tag">#alphago</a> <a href="https://mastodon.uno/tags/chat" class="mention hashtag" rel="tag">#chat</a> <a href="https://mastodon.uno/tags/ChatGPT" class="mention hashtag" rel="tag">#ChatGPT</a> <a href="https://mastodon.uno/tags/deepmind" class="mention hashtag" rel="tag">#deepmind</a> <a href="https://mastodon.uno/tags/gemini" class="mention hashtag" rel="tag">#gemini</a> <a href="https://mastodon.uno/tags/geminiai" class="mention hashtag" rel="tag">#geminiai</a> <a href="https://mastodon.uno/tags/google" class="mention hashtag" rel="tag">#google</a> <a href="https://mastodon.uno/tags/ia" class="mention hashtag" rel="tag">#ia</a> <a href="https://mastodon.uno/tags/intelligenzaartificiale" class="mention hashtag" rel="tag">#intelligenzaartificiale</a>

Scienza et MagiaCloneremo il cervello umano in intelligenze organoidi. Cervello umano: quanti gigabyte o terabyte può memorizzare. Quanti dati può conservare il cervello umano e quali sono i rapporti con l'intelligenza artificiale. L'ulteriore evoluzione rappresentata dall'intelligenza organoide. Cos'è e come funziona.<a href="https://mastodon.uno/tags/AlphaGo" class="mention hashtag" rel="tag">#AlphaGo</a> <a href="https://mastodon.uno/tags/biocomputer" class="mention hashtag" rel="tag">#biocomputer</a> <a href="https://mastodon.uno/tags/cervelloumano" class="mention hashtag" rel="tag">#cervelloumano</a> <a href="https://mastodon.uno/tags/intelligenzaartificiale" class="mention hashtag" rel="tag">#intelligenzaartificiale</a> <a href="https://mastodon.uno/tags/intelligenzaorganoide" class="mention hashtag" rel="tag">#intelligenzaorganoide</a><a href="https://scienzamagia.eu/world-wide-web/cloneremo-il-cervello-umano-in-intelligenze-organoidi" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://scienzamagia.eu/world-wide-web/cloneremo-il-cervello-umano-in-intelligenze-organoidi</a>

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