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 ...

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 ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate ...

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 ...

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

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

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