Control allocation algorithms for quadrotor unmanned aerial vehicles (UAVs) avoid incorporating relatively minor aerodynamic effects such as ‘blade flapping' and induced drag in order to simplify the ...

A neural-network-driven computer system offers the potential to optimize sootblowing in coal plant boilers, reduce NO X emissions, improve heat rate and unit efficiency, and reduce particulate matter ...

A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task ...

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

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

Researchers trained living neuronal networks to perform temporal learning tasks using a machine learning framework. The ...

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