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 ...

Compared to other marine animals, whales have been understudied. Spending their lives in the open ocean, sometimes in very ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

For years, “flexible learning” has become one of the most commonly used phrases in education. Yet in an increasingly crowded ...

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

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

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 ...

The University of Arizona is developing “smart bandages” to detect infections after surgeries — technology that could also ...

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

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