Rising public concern: Polls show Americans are more worried than excited about AI, associating it with job losses, cheating, and existential risks. Leaders' risk focus: High-profile AI executives ...

The financial industry's embrace of machine learning has reached a tipping point in 2026, moving from experimental adoption to a core operational necessity fraught with regulatory peril. Recent joint ...

Implementing machine learning tools in wastewater treatment plants offers measurable benefits such as chemical cost ...

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...

St. Louis-based health system created algorithm to help prioritize which patients to have these conversations with ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the proposal of a new approach to solving the Boolean function query problem. This framework starts from the ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...