Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Abstract: Graphs are essential to improve the performance of graph-based machine learning methods, such as spectral clustering. Various well-designed methods have been proposed to learn graphs that ...

Abstract: Accurate prediction of agent motion trajectories is crucial for ensuring the safety and reliability of autonomous driving systems. Current research predominantly focuses on traditional deep ...

The Rasmussen Reports daily Presidential Tracking Poll for Wednesday shows that 45% of Likely U.S. Voters approve of President Trump’s job performance. Fifty-four (54%) disapprove. The latest figures ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

This repository is an implementation of the paper entitled "On Representing Mixed-Integer Linear Programs by Graph Neural Networks." (ICLR 2023) The paper can be found here. Our codes are modified ...

Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions. If you use this framework in ...