A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, using software optimization alone. Engineers achieved more than 50% savings ...

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

What I remember is the reflex—an almost-automatic pivot to an external brain to help me locate my own train of thought. I ...

Organic traffic is down, but one marketer says revenue is up. This AEO dissection unpacks why fewer site visits might mean ...

Three Duke Rugby players who are math majors tackled a challenge inspired by professional soccer Daniel Cheng, Malachy ...

Nvidia and AWS have expanded their partnership to make AI cheaper to run at production scale, detailed by Nvidia on June 24.

Crystal Carter and Jen Cornwell tackled AI search from opposite angles at SMX Advanced. Together, they reveal why most ...

Over the past decade, Professor L. Mahadevan's Soft Math Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) has helped establish how the ancient Japanese paper arts ...

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting the debate over AI scaling, benchmark gaming and small-model reasoning.

The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone.