Machine Learning Research

When processing long contexts, large language models often lose track of details or devolve into nonsense. Researchers reduced these effects by managing context externally.

xAI launched a video generator that topped an independent quality ranking at a fraction of competitors’ prices.

Nvidia, the dominant supplier of AI chips, released a competitive open-source large language model whose speed tops its size class — the first open-weights leader to come from the United States since last year, when Meta delivered Llama 4.

Multimodal models typically use different tokenizers to embed different media types, and different encoders when training to generate media rather than classify it.

DeepSeek, the Chinese developer of outstanding open-weights models, has withheld an upcoming update of its flagship model from U.S. chip makers, a move that intensifies the AI rivalry between the U.S. and China.

The Qwen3.5 family of open-weights vision-language models includes impressive larger models as well as a smaller one that outperforms an OpenAI open-weights model 10 times its size.

Research shows that diffusion image generators can train somewhat faster if they learn to reconstruct embeddings from a pretrained encoder that’s built for vision tasks like classification, segmentation, and retrieval — not image generation.

OpenAI updated its flagship models, extending the ability to use tools and setting the state of the art on a handful of benchmarks, and priced them at the top of the market. Its coding and agentic abilities have enabled Codex, OpenAI’s competitor to Anthropic’s Claude Code, to leap ahead.

LLMs have achieved gold-medal performance in math competitions. An agentic system showed strength in mathematical research as well.

Managers need to understand how their subordinates get work done, what resources they require, and what they accomplish. OpenAI’s latest product aims to fulfill this need when the teammates are AI agents.

Google launched a cheaper, faster successor to its flagship image generator, delivering greater interactivity at roughly half the price.

Projected demand for output from large language models is spurring a massive buildout of data centers. Researchers asked whether smaller models running on local devices could meaningfully lighten that load.

The fourth global AI summit marked a decisive shift from focusing on theoretical hazards to spreading AI’s benefits throughout the world.

Google updated its flagship Gemini model, topping several benchmarks while undercutting competitors on performance per dollar.

Difficulty sleeping often precedes heart disease, psychiatric disorders, and many other illnesses. Researchers used data gathered during sleep studies to detect such conditions.