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 ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...