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 ...
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Photonic chips advance real-time learning in spiking neural systems
Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...
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 ...
Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...
To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
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