A team of artificial intelligence specialists at Google's DeepMind has developed an AI-based system called SAFE that can be used to fact check the results of LLMs such as ChatGPT. The group has ...

Alphabet has merged the UK-based DeepMind and US-headquartered Google Brain into a single AI research unit. Imaginatively named “Google DeepMind,” the new group unites two camps that had ...

Google DeepMind recently announced Robotics Transformer 2 (RT-2), a vision-language-action (VLA) AI model for controlling robots. RT-2 uses a fine-tuned LLM to output motion control commands. It can p ...

DeepMind Lab currently ships as source code only. It depends on a few external software libraries, which we ship in several different ways: The zlib, glib, libxml2, jpeg and png libraries are ...

Google DeepMind today introduced two new artificial intelligence models: Gemini Robotics, its Gemini 2.0-based model designed for robotics, and Gemini Robotics-ER, a Gemini model with advanced spatial ...

AlphaFold 3, which DeepMind developed with the London-based drug developer Isomorphic Labs, provides drug researchers with a more powerful tool to model how new drug compounds might react with ...

Concern that Google was falling behind in the AI race contributed to the merger of London-based DeepMind and California-based Brain AI units in 2023. Since then, it has been faster to roll out a ...

Google's DeepMind created GenCast, a revolutionary weather prediction model using probabilistic ensemble forecasting, trained on 40 years of data, providing rapid, accurate 15-day forecasts in 8 ...

DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent. It aims to be research-friendly, self-contained and ...

According to DeepMind, GenCast is not only better at providing daily and extreme weather forecasts than its previous AI weather program, but it also outperforms the best forecasting system in use ...

Former DeepMind employees raise $40 million to launch a London-based AI protein design startup that isn’t focused on an asset-based pipeline.