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...

DeepMind Has Reconciled Existing Neural Network Limitations To Outperform Neuro-Symbolic Models

Neural networks have achieved success in various perceptual tasks. However, it is stated that they are ineffective in solving problems requiring higher-level...

How DeepMind Is Using JAX To Accelerate AI Research

JAX is a Python library developed by Google researchers for high-performance numerical computing. Its API is based on NumPy. NumPy is a...

AlphaFold: DeepMind’s AI System With Major Breakthrough To Predict Protein-Folding

Google’s DeepMind introduces an AI system, AlphaFold, that can accurately predict how proteins fold into shapes. Proteins comprise strings of...

DeepMind Open-Sources Lab2D, A System For The Creation Of 2D Environments For Machine Learning

DeepMind recently open-sourced a software system called Lab2D. Lab2D is designed to support the creation of 2D environments for artificial intelligence and machine...
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