Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is ...

For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that ...

Welcome to this week’s Food Exec Brief, a roundup of the most important news shaping food and beverage manufacturing, from AI ...

Scientists from around the world are at Brown to discuss what is known, and what needs to be learned, about the long-sought particle discovered a decade ago.

Could slightly elevated blood sugar levels lead to serious health problems in the future? A single patient's question sparked ...

SINKER is an innovative new instrument equipped with advanced microscopes and cameras to collect detailed data about carbon ...

Chatbots are great at creating a list of questions to ask your doctor, simplifying jargon in medical records and walking you ...

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

LLM optimization is evolving from intuition to measurement. Here’s how to track visibility, align with SEO, and prepare for ...

The forensic process is moving away from tangible, observable evidence toward what he calls “invisible evidence”, ...

Abstract: This work develops a distributed graph neural network (GNN) methodology for mesh-based modeling applications using a consistent neural message passing layer. As the name implies, the focus ...