Google DeepMind is assembling a new team of artificial intelligence researchers to develop “world models” that can simulate physical environments. The initiative will be led by Tim Brooks, a former co-lead for OpenAI’s Sora project who joined DeepMind in October to work on Google’s video generation and world simulators.

Google is establishing a team to build AI that can simulate the physical world, led by one of the former co-leads on OpenAI's Sora model.

An AI expert argues AI progress hasn’t stalled, it’s become invisible, which could leave us unprepared for the future.

Meta’s chief AI scientist Yann LeCun described world models this way during a speech at Hudson Forum earlier this year: “A world model is your mental model of how the world behaves…You can imagine a sequence of actions you might take, and your world model will allow you to predict what the effect of the sequence of action will be on the world.”

This week at CES, Google presented an early look at new software and hardware upgrades coming to Google TV devices. The new features include the integration of Gemini, Google's AI model, to the Google Assistant,

Learn how to build an AI research agent with Google Docs & Brave Search API. Automate research & report writing with this step-by-step guide

The integration will allow you to search for media by saying “What are the latest movies from Disney?” You can also ask more general questions such as, “What are the best places to visit in Asia in the summer?

A Google AI product chief says he thinks that scaling test-time compute could be a direct path to reaching artificial superintelligence.

Tracey Arnish, head of HR at Google Cloud. There is a big opportunity for AI to change how we work, and HR leaders play

Google's groundbreaking white paper reveals how AI agents leverage advanced reasoning, real-time data access and autonomous decision-making.

Study finds Google's AI Overviews disrupt search results for publishers, appearing in 18% of publisher-related queries.