Geoff Hinton

A cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. He was one of the first researchers who demonstrated the use of backpropagation algorithm for training multi-layer neural networks.
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Yann Lecun

A computer scientist with contributions in machine learning, computer vision, mobile robotics and computational neuroscience. He is well known for his work on optical character recognition and computer vision using convolutional neural networks, and is a founding father of convolutional nets.
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Yoshua Bengio

A computer scientist, most noted for his work on artificial neural networks and deep learning. He has contributed to a wide spectrum of machine learning areas and is well known for his theoretical results on recurrent neural networks, kernel machines, distributed representations, depth of neural architectures, and the optimization challenge of deep learning. His work was crucial in advancing how deep networks are trained, how neural networks can learn vector embeddings for words, how to perform machine translation with deep learning by taking advantage of an attention mechanism, and how to perform unsupervised learning with deep generative models.
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Fei Fei Li

A computer scientist whose main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI.
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Andrew Ng

A computer scientist, whose research is on machine learning and AI, with an emphasis on deep learning. In 2011, Ng founded the Google Brain project at Google, which developed very large scale artificial neural networks using Google's distributed computer infrastructure. Among its notable results was a neural network trained using deep learning algorithms on 16,000 CPU cores, that learned to recognize higher-level concepts, such as cats, after watching only YouTube videos, and without ever having been told what a "cat" is.
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