Abstract: In industrial wireless networks with resource-constrained and densely deployed devices, link scheduling is a challenging task. Traditional optimization methods have high computational ...

Abstract: Real-time systems are increasingly shifting from single processors to multiprocessors, where software must be parallelized to fully exploit the additional computational power. While the ...

The sooner an organization realizes this as an architectural imperative, the sooner they will be able to capture the ...

All three Bowflex treadmills share the same smooth motor and joint-friendly cushioning—but from compact streamer to full-on ...

A state-of-the-art framework for intelligent cloud load balancing using Deep Reinforcement Learning. This project bridges the gap between cloud simulation and AI-driven optimization, providing ...

ESET’s bundle packs a load of features of varying quality ...

Albertsons Companies (NYSE:ACI) reported third-quarter fiscal 2025 results that management said reflected “disciplined execution” amid a mixed consumer backdrop that included a government shutdown and ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...

PECOTA, which stands for Player Empirical Comparison and Optimization Test Algorithm, is BP’s proprietary system that projects player and team performance PECOTA is a system that takes a player’s past ...

The goal of this project is to understand how different AI search algorithms behave when solving the same maze problem.

Friendships with AI companions are becoming part of everyday life for millions of people. Platforms where you can create AI ...