IEEE

Toward Transparent Reinforcement Learning: An Explainable Deep Q-Learning Framework for Sequential Decision-Making

Reinforcement learning (RL) has demonstrated remarkable promise in sequential decision-making tasks; however, its explainability issues continue to hinder high-stakes domains that demand regulatory ...
Scientific American

Is AI on the precipice of revolutionizing math? It depends

LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...
POWER Magazine

DOE Details 26 Genesis Mission AI Challenges, Targeting Nuclear Timelines, Grid Planning, and Energy Systems

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...
University of South Florida

From flattery to debate: USF researchers training AI to mirror human reasoning

AI systems don’t hold firm beliefs the way humans do. They generate responses based on statistical data patterns without ...
IEEE

Li-Ion Battery Doctor: A Fine-Tuned and Explainable Large-Language Model for Health Prognosis

Abstract: Health prognosis is crucial for reliable operation of Li-Ion batteries (LIB). Recently, machine learning (ML) methods have attracted significant interest for state-of-health (SOH) prediction ...