Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

Effective cobot safety combines collision detection and avoidance, enhancing human-robot collaboration through advanced sensing and adaptive planning.

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

A scientific dispute spanning six decades about fundamental mechanisms of visual perception in mammals has now been settled.

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

AI analysis of 500 stroke survivors reveals that the brain compensates for severe injury by "rejuvenating" undamaged regions.

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

D metastructures produce programmable structural colors for optical encryption, with a destruction mechanism that permanently ...

Artificial Intelligence Applications in Chronic Ocular Diseases. The previous volume can be viewed here: Volume I: Volume I ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...