Tech Xplore

Automation system advances efficient AI workflows

Your online order arrives damaged, so you request a refund. What often follows is an artificial intelligence workflow ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

User Scheduling Algorithm Based on Parallel Monte Carlo Policy Gradient Sampling in Downlink Massive MIMO Communication Systems

Abstract: As a pivotal technology for 5G and future mobile communication systems, massive multiple-input multiple-output (MIMO) has demonstrated the potential to substantially enhance spectral ...
IEEE

Optimal Sensor Scheduling for Multiple Dynamical Systems Against DoS Attacks Based on Deep Reinforcement Learning

Abstract: This paper investigates the resource scheduling problem for multiple dynamical systems against cyber attacks over wireless sensor networks, which have been extensively deployed in consumer ...
GitHub

An experimental operating system fully written in Rust, with a unikernel design, cooperative scheduling and a security model based on WASM sandboxing.

Munal OS started as a toy project to practice systems programming, and over the years morphed into a full-blown OS and a playground to explore new ideas. It aims to re-examine principles of OS design, ...
znetwork

Against Algorithms of Exploitation: Toward an Artificial Intelligence for the Masses in the Struggle Over the Future of Technology and Who Directs It

Never before in human history has a small minority wielded this degree of control over the lives of the majority with such speed and such silence. No armies march in the streets. No laws are ...