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.

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

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

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

Consciousness, and the ways in which it can become impaired after certain brain injuries, are not well understood, making ...

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 ...

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

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

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

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

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...