New models address problems related to timing, scheduling of surgeries, capacity planning, patients' stays in recovery

Researchers examined problems related to the timing and scheduling of surgeries and patients' stays in recovery units. In ...

DeepMind’s robotic ballet: An AI for coordinating manufacturing robots

With RoboBallet, the complexity of computation also grew with the complexity of the system, but at a far slower rate. (The ...
eLife

Spyglass: a framework for reproducible and shareable neuroscience research

Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...
Restaurant Technology News

A Manager’s Guide to AI: From Scheduling to Inventory Management

Optimize your restaurant with AI. This manager's guide reveals how AI transforms scheduling, cuts inventory waste and boosts ...
IEEE

A Deep Reinforcement Learning Scheduling Algorithm for Heterogeneous Tasks on Heterogeneous Multi-Core Processors

Abstract: Heterogeneous multi-core processor systems are common complex processing environments for scheduling DAG application tasks. Deep reinforcement learning has become a popular solution for ...
IEEE

Hybrid Prairie Dog and Beluga Whale optimization algorithm for multi-objective load balanced-task scheduling in cloud computing environments

Abstract: The cloud computing technology is utilized for achieving resource utilization of remote-based virtual computer to facilitate the consumers with rapid and accurate massive data services. It ...