Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...

Continual learning in neural networks addresses the challenge of adapting to new information accumulated over time while retaining previously acquired knowledge. A central obstacle to this process is ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

The unpredictability of AI could lead to a future where humans lose control over AI systems. Neural networks differ ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

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

Watching fragmented short videos rather than a single continuous video leads to poorer memory recall and alters how the brain ...