engblogs

Applying large-scale language modelling to build a multi-modal, multi-task, multi-embodiment generalist agent capable of playing games, captioning images, chatting, and performing physical tasks.

Active offline policy selection using offline data, special kernel, and Bayesian optimization for efficient RL policy evaluation

Using active offline policy selection (A-OPS) to improve the selection of RL policies for real-world applications by leveraging prerecorded datasets and limited interactions with the environment.

Exploring the latest developments in the OpenAI leadership team

Flamingo, a single visual language model, sets a new state of the art in few-shot learning on a wide range of multimodal tasks, outperforming fine-tuned and data-intensive methods.

When a passion for bass and brass help build better tools

The blogpost provides an overview of the new features and changes in Chrome 102 beta release, including the Window Controls Overlay for installed desktop web apps, finished origin trials, PWAs as file handlers, and more.

Exploring how Kevin Millikin's passion for bass and brass enriches his work as a software engineer on the DevTools team, showcased at PyCon US.

Introducing Flamingo, a powerful visual language model (VLM) that achieves state-of-the-art results in few-shot learning for diverse multimodal tasks.

DeepMind's latest research at ICLR 2022 focuses on advancing AI generalisability, optimising learning, exploration, robust AI, and emergent communication.

A blogpost about the papers and talks from the Stanford AI Lab presented at the International Conference on Learning Representations (ICLR) 2022.

DeepMind's research teams will be presenting 29 papers, including 10 collaborations, at ICLR 2022 along with sponsorship and workshop organization support.