• ClipSaver
ClipSaver
Русские видео
  • Смешные видео
  • Приколы
  • Обзоры
  • Новости
  • Тесты
  • Спорт
  • Любовь
  • Музыка
  • Разное
Сейчас в тренде
  • Фейгин лайф
  • Три кота
  • Самвел адамян
  • А4 ютуб
  • скачать бит
  • гитара с нуля
Иностранные видео
  • Funny Babies
  • Funny Sports
  • Funny Animals
  • Funny Pranks
  • Funny Magic
  • Funny Vines
  • Funny Virals
  • Funny K-Pop

Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs скачать в хорошем качестве

Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs 9 months ago

video

sharing

camera phone

video phone

free

upload

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
  • Поделиться ВК
  • Поделиться в ОК
  •  
  •  


Скачать видео с ютуб по ссылке или смотреть без блокировок на сайте: Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs в качестве 4k

У нас вы можете посмотреть бесплатно Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:

  • Информация по загрузке:

Скачать mp3 с ютуба отдельным файлом. Бесплатный рингтон Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs в формате MP3:


Если кнопки скачивания не загрузились НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу страницы.
Спасибо за использование сервиса ClipSaver.ru



Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs

Jürgen Schmidhuber, the father of generative AI shares his groundbreaking work in deep learning and artificial intelligence. In this exclusive interview, he discusses the history of AI, some of his contributions to the field, and his vision for the future of intelligent machines. Schmidhuber offers unique insights into the exponential growth of technology and the potential impact of AI on humanity and the universe. MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without Big Tech biases or the recent extortionate price hikes on search API access. Perfect for AI model training and retrieval augmentated generation. Try it now - get 2,000 free queries monthly at http://brave.com/api. TOC 00:00:00 Intro 00:03:38 Reasoning 00:13:09 Potential AI Breakthroughs Reducing Computation Needs 00:20:39 Memorization vs. Generalization in AI 00:25:19 Approach to the ARC Challenge 00:29:10 Perceptions of Chat GPT and AGI 00:58:45 Abstract Principles of Jurgen's Approach 01:04:17 Analogical Reasoning and Compression 01:05:48 Breakthroughs in 1991: the P, the G, and the T in ChatGPT and Generative AI 01:15:50 Use of LSTM in Language Models by Tech Giants 01:21:08 Neural Network Aspect Ratio Theory 01:26:53 Reinforcement Learning Without Explicit Teachers Refs: ★ "Annotated History of Modern AI and Deep Learning" (2022 survey by Schmidhuber): ★ Chain Rule For Backward Credit Assignment (Leibniz, 1676) ★ First Neural Net / Linear Regression / Shallow Learning (Gauss & Legendre, circa 1800) ★ First 20th Century Pioneer of Practical AI (Quevedo, 1914) ★ First Recurrent NN (RNN) Architecture (Lenz, Ising, 1920-1925) ★ AI Theory: Fundamental Limitations of Computation and Computation-Based AI (Gödel, 1931-34) ★ Unpublished ideas about evolving RNNs (Turing, 1948) ★ Multilayer Feedforward NN Without Deep Learning (Rosenblatt, 1958) ★ First Published Learning RNNs (Amari and others, ~1972) ★ First Deep Learning (Ivakhnenko & Lapa, 1965) ★ Deep Learning by Stochastic Gradient Descent (Amari, 1967-68) ★ ReLUs (Fukushima, 1969) ★ Backpropagation (Linnainmaa, 1970); precursor (Kelley, 1960) ★ Backpropagation for NNs (Werbos, 1982) ★ First Deep Convolutional NN (Fukushima, 1979); later combined with Backprop (Waibel 1987, Zhang 1988). ★ Metalearning or Learning to Learn (Schmidhuber, 1987) ★ Generative Adversarial Networks / Artificial Curiosity / NN Online Planners (Schmidhuber, Feb 1990; see the G in Generative AI and ChatGPT) ★ NNs Learn to Generate Subgoals and Work on Command (Schmidhuber, April 1990) ★ NNs Learn to Program NNs: Unnormalized Linear Transformer (Schmidhuber, March 1991; see the T in ChatGPT) ★ Deep Learning by Self-Supervised Pre-Training. Distilling NNs (Schmidhuber, April 1991; see the P in ChatGPT) ★ Experiments with Pre-Training; Analysis of Vanishing/Exploding Gradients, Roots of Long Short-Term Memory / Highway Nets / ResNets (Hochreiter, June 1991, further developed 1999-2015 with other students of Schmidhuber) ★ LSTM journal paper (1997, most cited AI paper of the 20th century) ★ xLSTM (Hochreiter, 2024) ★ Reinforcement Learning Prompt Engineer for Abstract Reasoning and Planning (Schmidhuber 2015) ★ Mindstorms in Natural Language-Based Societies of Mind (2023 paper by Schmidhuber's team) https://arxiv.org/abs/2305.17066 ★ Bremermann's physical limit of computation (1982) EXTERNAL LINKS CogX 2018 - Professor Juergen Schmidhuber    • CogX 2018 - Professor Juergen Schmidhuber ...   Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability (Neural Networks, 1997) https://sferics.idsia.ch/pub/juergen/... The paradox at the heart of mathematics: Gödel's Incompleteness Theorem - Marcus du Sautoy    • The paradox at the heart of mathematics: G...   The Philosophy of Science - Hilary Putnam & Bryan Magee (1977)    • The Philosophy of Science - Hilary Putnam ...   Optimal Ordered Problem Solver https://arxiv.org/abs/cs/0207097 Levin's Universal Search from 1973 https://rjlipton.com/2011/03/14/levin... https://people.idsia.ch/~juergen/opti... On Learning to Think https://arxiv.org/abs/1511.09249 Mindstorms in Natural Language-Based Societies of Mind Untersuchungen zu dynamischen neuronalen Netzen https://www.bioinf.jku.at/publication... Evolutionary Principles in Self-Referential Learning https://people.idsia.ch/~juergen/dipl... Hans-Joachim Bremermann https://en.wikipedia.org/wiki/Bremerm... Highway Networks https://arxiv.org/abs/1505.00387 https://people.idsia.ch/~juergen/high... The principles of Deep Learning Theory https://amzn.to/3WJtPaj Understanding Deep Learning https://amzn.to/4doDk63 Discovering Problem Solutions with Low Kolmogorov Complexity and High Generalization Capability (ICML 1995) https://sferics.idsia.ch/pub/juergen/... "History of Modern AI and Deep Learning": https://people.idsia.ch/~juergen/deep...

Comments
  • The Hidden Math Behind All Living Systems 7 months ago
    The Hidden Math Behind All Living Systems
    Опубликовано: 7 months ago
    37667
  • Let's build GPT: from scratch, in code, spelled out. 2 years ago
    Let's build GPT: from scratch, in code, spelled out.
    Опубликовано: 2 years ago
    5761336
  • What do tech pioneers think about the AI revolution? - BBC World Service 9 months ago
    What do tech pioneers think about the AI revolution? - BBC World Service
    Опубликовано: 9 months ago
    1651946
  • Introduction to Generative AI 2 years ago
    Introduction to Generative AI
    Опубликовано: 2 years ago
    2030816
  • Dr. JEFF BECK - The probability approach to AI 1 year ago
    Dr. JEFF BECK - The probability approach to AI
    Опубликовано: 1 year ago
    22072
  • Why the rush? - lo-fi beats for work/study / cat jazz 1 month ago
    Why the rush? - lo-fi beats for work/study / cat jazz
    Опубликовано: 1 month ago
    428736
  • This is why Deep Learning is really weird. 1 year ago
    This is why Deep Learning is really weird.
    Опубликовано: 1 year ago
    477131
  • How AI Could Save (Not Destroy) Education | Sal Khan | TED 2 years ago
    How AI Could Save (Not Destroy) Education | Sal Khan | TED
    Опубликовано: 2 years ago
    1861436
  • Joscha Bach - Why Your Thoughts Aren't Yours. 7 months ago
    Joscha Bach - Why Your Thoughts Aren't Yours.
    Опубликовано: 7 months ago
    123059
  • GEOMETRIC DEEP LEARNING BLUEPRINT 3 years ago
    GEOMETRIC DEEP LEARNING BLUEPRINT
    Опубликовано: 3 years ago
    404046

Контактный email для правообладателей: [email protected] © 2017 - 2025

Отказ от ответственности - Disclaimer Правообладателям - DMCA Условия использования сайта - TOS



Карта сайта 1 Карта сайта 2 Карта сайта 3 Карта сайта 4 Карта сайта 5