Chemists at ETH Zurich have developed a new computer process that enables the generation of active pharmaceutical ingredients at speed, based on a protein’s three-dimensional surface. The new ...

Exclusive: Mark Aitken, who worked in the sector for 16 years, said eight times out of 10 he disagreed with the integrated assessment tool Follow our Australia news live blog for latest updates Get ...

Manufacturing is entering a decade in which complexity is increasing faster than the industry’s ability to manage it. AI is a prerequisite for industrial competitiveness.

Abstract: For dynamic task scheduling problems in cloud computing environments, we propose a deep reinforcement learning algorithm based on graph neural networks (GNN-PPO) that enables real-time ...

Research-ready implementation of reinforcement learning algorithms for job scheduling optimization. This project demonstrates state-of-the-art RL techniques applied to realistic scheduling problems ...

Abstract: In recent years, rapidly increasing scale and more complex target types make traditional optimization algorithms inadequate for the multi complex target scheduling problem of large-scale ...

Overview This repository contains comprehensive coursework from the Operating Systems course at IIT Bhilai, with dual focus on xv6 kernel development and concurrent systems programming. The work ...