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2. Deep learning - Wikipedia

   en.wikipedia.org/wiki/Deep_learning

   How deep learning is a subset of machine learning and how machine learning is a subset of artificial intelligence (AI) The deep learning revolution started around CNN- and GPU-based computer vision. Although CNNs trained by backpropagation had been around for decades and GPU implementations of NNs for years, [ 112 ] including CNNs, [ 113 ...

3. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

4. Transformer (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Transformer_(deep_learning...

   For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

5. Google DeepMind - Wikipedia

   en.wikipedia.org/wiki/Google_DeepMind

   This was the first time an artificial intelligence (AI) defeated a professional Go player. [57] Previously, computers were only known to have played Go at "amateur" level. [ 56 ] [ 58 ] Go is considered much more difficult for computers to win compared to other games like chess , due to the much larger number of possibilities, making it ...

6. Neural network (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Neural_network_(machine...

   A network is typically called a deep neural network if it has at least two hidden layers. [3] Artificial neural networks are used for various tasks, including predictive modeling, adaptive control, and solving problems in artificial intelligence. They can learn from experience, and can derive conclusions from a complex and seemingly unrelated ...

7. Ian Goodfellow - Wikipedia

   en.wikipedia.org/wiki/Ian_Goodfellow

   Ian J. Goodfellow (born 1987 [1]) is an American computer scientist, engineer, and executive, most noted for his work on artificial neural networks and deep learning.He is a research scientist at Google DeepMind, [2] was previously employed as a research scientist at Google Brain and director of machine learning at Apple, and has made several important contributions to the field of deep ...