SORBA.ai Releases Version 10.7: Integration with Inductive Automation Ignition SCADA 8.3 & Expanded AI Model Creation

Major release delivers seamless Ignition SCADA, enterprise-grade security, advanced ML algorithms, and private cloud ...
CIO

How Kubernetes is finally solving the GPU utilization crisis to save your AI budget

Kubernetes wasn't built for GPUs, but new tools like Kueue and MIG are finally helping companies stop wasting money on ...
HealthTech Magazine

How Healthcare Organizations Can Benefit From Predictive Scheduling Systems

AI-driven predictive scheduling is helping hospitals match staffing to real patient demand while reducing overtime and ...
Scientific Research Publishing

Integrating Multi-Agent Reinforcement Learning and Evolutionary Game Theory for Adaptive Virtual Bidding Strategies in Electricity Markets ()

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
IEEE

Multi-Objective Optimal Scheduling of Integrated Energy Systems Based on ANSGA-II-AWPA

Abstract: To address the problems of slow convergence speed and tendency to fall into local optima in multi-objective optimal scheduling of integrated energy systems (IES), this paper proposes an ...
IEEE

Automatic Pipelining for Arbitrary Circuits via Gate-level Forwarding and Customized Scheduling

Abstract: Circuit pipelining is essential for improving the frequency and throughput of sequential circuits, yet it still largely relies on manual design at the behavioral level, which is ...