A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...
A new study published in Engineering introduces a neural-network-based switching output regulation controller (NN-SORC) for high-speed ...
Struggling with hysteresis and slow computing in high-speed nano-positioning systems? A new study in Engineering presents a ...
Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...
Researchers in the Department of Theoretical Physics at Tata Institute of Fundamental Research (TIFR), Mumbai, have discovered that instead of manipulating every component or modifying interactions in ...
Many "AI experts" have sprung up in the machine learning space since the advent of ChatGPT and other advanced generative AI constructs late last year, but Dr. James McCaffrey of Microsoft Research is ...
I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...
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