Machine Learning Research

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.

Reasoning models in the 1 to 2 billion-parameter range typically require more than 1 gigabyte of RAM to run. Liquid AI released one that runs in less than 900 megabytes, and does it with exceptional speed and efficiency.

Z.ai more than doubled the size of its flagship large language model to deliver outstanding performance among open-weights competitors.

Anthropic updated its flagship large language model to handle longer, more complex agentic tasks.

AI is becoming ubiquitous, yet no standards exist for auditing its safety and security to make sure AI systems don’t assist, say, hackers or terrorists. A new organization aims to change that.

AI models that diagnose illnesses typically generate diagnoses based on descriptions of symptoms. In practice, though, doctors must be able to explain their reasoning and plan next steps. Researchers built a system that accomplishes these tasks.

Mistral compressed Mistral Small 3.1 into much smaller versions, yielding a family of relatively small, open-weights, vision-language models that perform better by some measures than competing models of similar size. The method combines pruning and distillation.

An open source vision-language model unleashes minion agents that enable it to perform tasks more quickly and effectively.

The OpenClaw open-source AI agent became a sudden sensation, inspiring excitement, worry, and hype about the agentic future.

Individuals and organizations increasingly use large language models to produce media that helps them compete for attention. Does fine-tuning LLMs to encourage engagement, purchases, or votes affect their alignment with social values? Researchers found that it does.

Artificial Analysis, which tests AI systems, updated the component evaluations in its Intelligence Index to better reflect large language models’ performance in real-world use cases.

Image generators often mangle text. An open-weights model outperforms open and proprietary competitors in text rendering.