DeepMind Researchers Introduce Epistemic Neural Networks (ENNs) For Uncertainty Modeling In Deep Learning

Deep learning algorithms are widely used in numerous AI applications because of their flexibility and computational scalability, making them suitable for complex...

DeepMind Introduces It’s Supermodel AI ‘Perceiver’: A Neural Network Model That Could Process All...

DeepMind recently released a state-of-the-art deep learning model called Perceiver via a recent paper. It adapts the Transformer to let it consume all...

DeepMind Releases The Methods And Open-Source Codes For AlphaFold v2

Last year DeepMind presented AlphaFold v2, which predicts 3D structures of proteins down to atomic accuracy. Today they share the methods in...

AI Researchers Including Yoshua Bengio, Introduce A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

Human consciousness is an exceptional ability that enables us to generalize or adapt well to new situations and learn skills or new...

Researchers From DeepMind And Alberta University Propose Policy-Guided Heuristic Search Algorithm

Machine learning techniques usually assume that the training and test data were generated from the same statistical distribution. This assumption, however, doesn’t...

DeepMind Researchers Introduce Manipulation-Independent Representations (MIR) For Successful Cross Embodiment Visual Imitation

Recently, researchers at DeepMind have proposed manipulation-independent representations (MIR) to support successful imitation of behaviors demonstrated by previously unseen manipulator morphologies using...
Behaviors learned by DreamerV2 for some of the 55 Atari games. These videos show images from the environment. Video predictions are shown below in the blog post.

Google AI, DeepMind And The University of Toronto Introduce DreamerV2, The First Reinforcement Learning...

Google AI, in collaboration with DeepMind and the University of Toronto, has recently introduced DreamerV2. It is the first Reinforcement Learning (RL)...

DeepMind Researchers Propose Normalizer-Free ResNets (NFNets) To Achieve Large-Scale Image-Recognition Without Batch Normalization

A team of researchers at DeepMind introduces Normalizer-Free ResNets (NFNets) and demonstrates that the image recognition model can be trained without batch...

DeepMind and University College London Introduce Alchemy, A Novel Open-Source Benchmark For Meta-Reinforcement learning...

Alchemy, a novel open-source benchmark for meta Reinforcement learning (RL) in the recent decade, has garnered much attention in the ML field....

DeepMind Introduces MuZero That Achieves Superhuman Performance In Tasks Without Learning Their Underlying Dynamics

Previously, DeepMind has used reinforcement learning to teach programs to master various games such as the Chinese board game 'Go,' the Japanese...

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