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

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 ...

Public agency leaders want tangible results from AI and machine learning (ML). The trouble is figuring out how to get beyond ...

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

Boldyn Networks Europe CTO Andy Conway explains why AI-RAN could be of particular benefit in private 5G deployments for ...

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

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...

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

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

The Centre for Brain Research at the Indian Institute of Science has launched an artificial intelligence challenge worth Rs 2 ...

By Kenrick Cai LAS VEGAS, April 22 (Reuters) - Alphabet is deepening a push into enterprise software, signaling to investors ...

But now, a new AI-driven robot built by Sony, named Ace, has officially defeated elite human table tennis players. Look ...