Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

Database holds a wealth of natural human interactions in four languages and multiple cultures over breakfasts, game nights, and car rides.

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

It provides convincing evidence that demographic-specific functional templates improve functional neuroimaging studies that use hyperalignment. This study will be of interest to cognitive ...

Training large language models is brutally expensive. It’s not just about having more GPUs; it’s about how efficiently you use them. And as models scale up, even small inefficiencies can turn into ...

The country produces nearly 300 million tons of trash a year, and billions of dollars in reusable materials end up in landfills, even after passing through recycling bins. The problem has always been ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful ...

Company to demonstrate VESSL Cloud and large-scale training infrastructure for robotics and simulation-driven Physical ...

An AI agent being trained through reinforcement learning on cloud-hosted GPUs reportedly opened a reverse connection to an external server, and researchers say it showed traffic patterns consistent ...

New benchmark tests how AI detection models perform across languages and multilingual content transformations such as ...

The OpenData.org U.S. dataset is sourced from official regulatory filings including IRS, Department of Labor, SEC, SBA, USPS, and state and local jurisdictions. The data is available in CSV and ...