Machine Learning Research

Neural networks can forget how to perform earlier tasks as they learn new ones.

Nvidia’s chief scientist dreams of telling an AI model to design a new GPU, then skiing for a couple days while the system does the job.

As OpenAI prepares to shut down Sora, ByteDance made its own video generation model available to hundreds of millions of users.

While large language models can behave in human-like ways, the similarities are superficial. A simple strategy game revealed clear differences in their strategic approaches.

Moonshot AI’s updated Kimi model handles longer autonomous coding sessions and scales up its multi-agent orchestration relative to its predecessor.

The latest update of OpenAI’s flagship model sets new states of the art in important benchmarks but has difficulty distinguishing between what it does and doesn't know.

Typically, large language models are trained to act as helpful, harmless, honest assistants. However, during long or emotionally charged conversations, traits can emerge that are less beneficial. Researchers devised a way to steady the assistant personas of LLMs.

A small number of humanoid robots have made their way into industrial settings, where they’re roughly matching the cost of human labor and propelling some workers into higher-level roles.

Z.ai updated its flagship open-weights large language model to work autonomously on single tasks for up to eight hours.

If you want to understand how the public will respond to your offerings, large language models can simulate users who answer questions about capabilities, features, promotions, or prices.

U.S. states are continuing to enact laws that regulate AI, despite President Trump’s efforts to discourage state-by-state legislation in favor of national laws.

Generative AI has proven that it can produce text, images, audio, video, and code. The world’s most valuable pharmaceutical company is betting billions that it can produce drugs as well.

Meta pivoted from its open-weights strategy to deliver a closed alternative.

Simulating complex physical systems through traditional numerical methods is slow and expensive, and simulations based on machine learning are usually specialized for a specific type of system, such as water in a pipe or atmosphere surrounding a planet.

An open-weights model could help scientists compare the impact of genetic variations, identify mutations that cause diseases, and develop treatments.