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...

DeepMind Research Introduces Algorithms for Causal Reasoning in Probability Trees

For cutting-edge AI researchers looking for clean semantics models to represent the context-specific causal dependencies essential for causal induction, this DeepMind's algorithm encourages you to...

DeepMind Open-Sources The FermiNet: A Deep Learning Model For Computing The Energy Of Atoms

The Fermionic Neural Network (FermiNet) is one of the first deep learning demonstrations for computing atomic energy. Fermionic Neural Network is a...

DeepMind introduces a new machine learning model to improve Google Maps

If you are one of those who start their journey by setting the route on Google Maps, Google brings you a better...
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