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 ...
Insects exhibit remarkable locomotor versatility underpinned by highly efficient neural control systems. Their ability to navigate complex terrains relies on the seamless integration of sensory inputs ...
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 ...
Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...
The profound impact of neurological injuries and diseases, such as stroke, spinal cord injury, and neurodegenerative disorders, often manifests as ...
The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...
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Living brain cells enable machine learning computations
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
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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