Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

FORT LAUDERDALE, FL - January 13, 2026 - PRESSADVANTAGE - Grace Point Treatment Center in Fort Lauderdale, Florida, has ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...

Trading options online now matters because apps offer advanced tools, simulators, and option value calculators to help ...

CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...

TORONTO, ONTARIO, CANADA, January 5, 2026 /EINPresswire.com/ — As 2025 came to a close, Tom Vukota took a moment to reflect on the work, milestones, and professional themes that have shaped the year.

Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, real-world motion into simple rules you can write down. The work comes ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Abstract: In the field of graph self-supervised learning (GSSL), graph autoencoders and graph contrastive learning are two mainstream methods. Graph autoencoders aim to learn representations by ...