Humans and artificial neural networks exhibit some similar patterns during learning

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
IEEE

GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling Over Dynamic Vehicular Clouds

Abstract: Vehicular Clouds (VCs) are modern platforms for processing of computation-intensive tasks over vehicles. Such tasks are often represented as Directed Acyclic Graphs (DAGs) consisting of ...
Analytics Insight

Top Free Must-Read Books Every AI Engineer Should Download Today

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...
IEEE

GRLR: Routing With Graph Neural Network and Reinforcement Learning for Mega LEO Satellite Constellations

Abstract: This paper investigates the routing problem in the mega low earth orbit (mLEO) satellite constellations considering factors including distribution of the users, topology of the networks and ...