IEEE

Privacy-Preserving Task Offloading in Vehicular Edge Computing Using Federated Multi-Agent Reinforcement Learning

Abstract: Vehicular edge computing (VEC) systems face critical challenges in balancing computational efficiency, task delay, and data privacy. This paper presents a Federated Multi-Agent Deep ...
MarketWatch

Stop the "Manual Firefighting" - AutoScheduler.AI to Debut Real-Time Warehouse Decision Agent at Manifest 2026

The MarketWatch News Department was not involved in the creation of this content. AUSTIN, Texas, Jan. 27, 2026 (GLOBE NEWSWIRE) -- AutoScheduler.AI, a leader in AI-based decision orchestration, ...
autoconnectedcar.com

USDOT Plans on Using Artificial Intelligence (AI) to Write Regulations

The Trump administration is moving toward using artificial intelligence to draft federal transportation regulations, a plan revealed through U.S. Department of Transportation (DOT) records and ...
IEEE

Energy-Efficient Task Offloading Using Reinforcement Learning for Dependent Tasks in Cloud-Edge-Device Systems

Abstract: The advancement of 5G networks has enabled latency-sensitive, computation-intensive applications that demand high Quality of Service but result in significant energy consumption. Mobile ...
Eagle-Tribune

AutoScheduler.AI Appoints Warehouse Technology Veteran Jon Veschio as Vice President of Sales

AUSTIN, Texas, Jan. 20, 2026 (GLOBE NEWSWIRE) -- AutoScheduler.AI, a leading AI-based Decision Agent that unifies and automates warehouse decision-making, today announced that Jon Veschio has joined ...