There is a growing realisation that while AI models have been scaling, they no longer deliver transformative leaps.

Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that omits traditional physics constraints like energy conservation and equivariance.

The Motley Fool reports AI data centers are driving significant energy demand, with projections showing they could consume up ...

QVAC SDK and Fabric give people and companies the ability to execute inference and fine-tune powerful models on their own ...

APOLLO is a multimodal temporal foundation model trained on 25.2 billion medical events from 7.2 million patients across 33 ...

Founded in 2013, Skymizer is an AI inference company. Its flagship HyperThought platform pairs a compiler-driven software stack with transformer-optimized hardware to deliver high-efficiency inference ...

Recent breakthroughs show AI's growing role in astronomy, from accelerating galaxy classification to enhancing telescope data and creating interactive orbital simulations. These tools are improving ...

Their early AI analysis of Webb data identified a surprising number of a specific type of disc galaxies and added a new ...

A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

Musk announces delay on release of Roadster, Optimus robot and FSD, and says that new "micro-factories" will be needed to ...

Two weeks ago, Anthropic announced that its new model, Claude Mythos Preview, can autonomously find and weaponize software ...

Good afternoon, everyone, and welcome to Tesla's First Quarter 2026 Q&A Webcast. My name is Travis Axelrod, Head of Investor Relations, and I'm joined today by Elon Musk, Vaibhav Taneja and a number ...