Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

A new study comparing machine learning-based portfolio optimization with the traditional all-weather portfolio found that certain AI models, including LASSO and elastic net, delivered Sharpe ratios ...

The International Conference in Optimization and Learning (OLA2024), organized by RIT (Croatia) and the University of Lille (France), focuses on the future challenges of optimization and learning ...

Associate Professor Emiliano Dall’Anese and his research group examined that concept for a paper that recently won the prestigious ‘Best Paper Award’ in the IEEE journal Transactions on Control of ...

At Pittcon 2026 in San Antonio, Texas, USA, LCGC International spoke with 2026 LCGC International Emerging Leader Award ...

Researchers have proposed an integrated eco-driving framework for fuel cell hybrid electric vehicles in multi-lane highway scenarios, using deep reinforcement learning to optimize motion trajectory ...