Anyscale Cuts Multimodal AI Data Processing Costs by 80% with NVIDIA RTX PRO 4500 Blackwell

Anyscale, founded by the creators of Ray, today announced upcoming new capabilities in Ray and the Anyscale platform designed to help teams build and deploy AI workloads at production scale. As more ...
IEEE

Distributed Flexible Job Shop Scheduling With Heterogeneous Transportation Resources Constraints via Deep Reinforcement Learning and Graph Neural Network

Abstract: The distributed flexible job shop scheduling problem (DFJSP) has emerged as a critical challenge in the field of scheduling optimization due to its intricate resource allocation and the ...
IEEE

Quantum Reinforcement Learning for QoS-Aware Real-Time Job Scheduling in Cloud Systems

Abstract: Effective cloud job scheduling is essential for enhancing the performance and operational efficiency of cloud-based services, directly impacting their quality of service (QoS). Among ...
GitHub

Numerical differentiation of noisy time series data in python

derivative is a Python package for differentiating noisy data. The package showcases a variety of improvements that can be made over finite differences when data is not clean. Kaptanoglu et al., (2022 ...
GitHub

An Optimization Model for Integrated Aircraft Hangar Scheduling and Layout

This repository contains the data and source code for the paper "An Efficient Continuous-Time Optimization Model for Integrated Aircraft Hangar Scheduling and Layout". It includes an implementation of ...