Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Jonathan D. Uslaner and Matthew Goldstein of Bernstein Litowitz Berger & Grossmann LLP examine the proposed new Federal Rule ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

The next phase of AI may unfold in the factories, warehouses and cities where the physical world is built and maintained.

Overview: Africa is fast becoming one of the top regions worldwide in machine learning, especially in developing new ...

Alessa Carbo's AI-powered translation of sign language videos earned her first authorship at a major natural language ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Standard Chartered partners with A*STAR in a $15 million collaboration to accelerate AI applications in banking, enhancing ...