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

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

A growing body of experimental research suggests that using ChatGPT can boost short-term performance on some tasks, but may ...

Abstract: The safety and security of Autonomous Vehicles (AVs) have been an active area of interest and study in recent years. To enable human behavior, Deep Learning (DL) and Machine Learning (ML) ...

Can immersive tech transform learning? The ImmersED project blends STEM and social-emotional learning, offering students ...

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

A new “semi-formal reasoning” approach forces AI models to trace code paths and justify conclusions, improving accuracy while ...

Dyslexia is common and not tied to intelligence. Early recognition and targeted intervention are key to unlocking potential ...

Neuro-symbolic AI — combining data-driven learning with rule-based reasoning — could accelerate safe, transparent use of autonomous equipment on complex jobsites.

This article discusses that applying principles from neuroscience, specifically neuroplasticity, can significantly enhance ...

A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes.