More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Abstract: Few-shot learning seeks to recognize novel classes from limited examples. Model-agnostic meta-learning (MAML), known for its simplicity and flexibility, learns an effective initialization ...

Abstract: Stabilized gimbal systems are now widely used in both civil and military applications for operations, including observation, target tracking, target identification, and communication. As a ...

A playground for experimenting with PID, model‑predictive, and machine‑learning–based controllers. DeepPID provides both traditional and neural adaptive controllers in a single, consistent framework, ...

Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...

Natural ecosystems hold surprising lessons for business. by Martin Reeves, Simon Levin and Daichi Ueda Companies operate in an increasingly complex world: Business environments are more diverse, ...