A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...
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 ...
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 tool for checking the output of neural networks makes finding errors as easy as spotting mountaintops from an airplane. (Purdue University image) WEST LAFAYETTE, Ind. – In the background of image ...
MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...
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 ...
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Neural interfaces that adapt to you: How game theory could improve wearables and implants
There is an exciting future on the horizon—one in which your thoughts could directly control electronic devices you use every ...
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