A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...
Struggling with hysteresis and slow computing in high-speed nano-positioning systems? A new study in Engineering presents a ...
A new study published in Engineering introduces a neural-network-based switching output regulation controller (NN-SORC) for high-speed ...
Which subjects should be included in the curriculum of an undergraduate process control course, and which should not?
NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
Graph theory and computational modeling reveal that neural network architecture biases the male Caenorhabditis elegans brain toward prioritized sexual behaviors.
Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...
A cross-disciplinary team led by Prof. Qu Jianan from the Department of Electronic and Computer Engineering and Prof. Julie L ...
In about one out of every 1,000 pregnancies, the neural tube, a key nervous system structure, fails to close properly.
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