Choosing between these models depends on whether you are prioritizing pure coding power, agentic autonomy, or local ...

Ahead of Valentine’s Day, Robinson unveiled a new set of equations that translate romantic phrases and symbols into mathematics. To create them, he drew on disciplines ranging from trigonometry and ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Investors usually fund startups based on metrics involving revenue, profits or product usage. But investors backing newer AI ...

The GSMM Camp is a weeklong workshop directed towards interdisciplinary problem solving whose aim is graduate student education and career development. The GSMM Camp is designed to promote a broad ...

On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to work as part of an autonomous software engineering agent. The model achieves ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

For many enterprises, there continue to be barriers to fully adopting and benefiting from agentic AI. IBM is betting the blocker isn't building AI agents but governing them in production. At its ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.