Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

As chronic liver disease becomes more widespread, researchers at Science Tokyo have developed a lab-grown organoid that ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

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

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...

If you opened the Seattle Times on February 12, 1970, you might have lingered over John J. Reddin’s nostalgic “Faces of the City” column. That Thursday, Reddin published an ode to the city’s Asian ...

School-related gender-based violence remains widespread in low- and middle-income countries, yet rigorous evidence on effective prevention strategies is limited. This study evaluates the Empowerment ...