Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...

This collection supports and amplifies research related to SDG 4: Quality Education. Generative AI is transforming the conventional dyadic teacher-student dynamic into a triadic framework centered ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

At HIMSS26, Dr. Nathan Moore of the BJC Accountable Care Organization will show how health systems can move beyond chatbots ...

Few technologies have been subject to as much hype, misrepresentation, and speculation as AI. Some people say it’s bigger than electricity, others say it’s massively overhyped. One simple metaphor I ...

Uncovering Technological Breakthroughs, Industry Applications, Regulatory Challenges, and Strategic Opportunities in the ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Agentic artificial intelligence (agentic AI) is ushering in a new era for financial institutions, offering transformative capabilities that can fundamentally reshape operations, improve customer ...

According to Nvidia’s 2025 State of AI in Financial Services report, one in four firms identify portfolio optimization as the single most ROI generative application of AI in Finance. In reality, ...