Machine Learning Research

Apple revamped two vision-language models in a bid to catch up with fast-moving competitors.

In Northern California, old property deeds may still include racial clauses: language, made illegal decades ago, that was designed to ban people of color from owning or living in certain homes.

OpenAI launched o3-pro, a more capable version of its most advanced reasoning vision-language model.

Researchers reduced the number of tokens needed to represent video frames to be fed to a transformer.

Same character, new background, new action. That’s the focus of the latest text-to-image models from Germany’s Black Forest Labs.

Researchers identified a simple way to mislead autonomous agents based on large language models.

DeepSeek updated its groundbreaking DeepSeek-R1 large language model to strike another blow for open-weights performance.

DeepSeek made headlines late last year, when it built a state-of-the-art, open-weights large language model at a cost far lower than usual. The upstart developer shared new details about its method.

Google revamped its roster of models, closed and open, and added more AI-powered features to its existing products.

Anthropic continued its tradition of building AI models that raise the bar in coding tasks.

Using an 8-bit number format like FP8 during training saves computation compared to 16- or 32-bit formats, but it can yield less-accurate results. Researchers trained models using 4-bit numbers without sacrificing accuracy.

OpenAI launched an agentic software-development system.

Improving a large language model’s factual accuracy typically requires making it bigger, which in turn, involves more computation. Researchers devised an architecture that enables models to recall relevant details without significantly increasing the amount of computation required.

An open-source code generator performs comparably to the reasoning models DeepSeek-R1 and OpenAI o1 with a much smaller model.

Microsoft published its latest recipe for training reasoning models, substantially expanding what is still a fairly small base of public knowledge.