Abstract: Aerial vehicular networks are emerging as a critical use case in sixth-generation (6G) wireless systems, demanding ultra-reliable, low-latency connectivity across dynamic, three-dimensional ...

Abstract: Reinforcement Learning (RL) seeks to develop systems capable of autonomous decision-making by learning through interaction with their environment. Central to this process are reward ...

OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.

Several new start-ups are building replicas of sites so A.I. can learn to use the internet and maybe replace white-collar ...