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 ...
Neural networks are starting to see some of the earliest forms of development adoption and potential for expansion in applications across multiple segments of aviation for electronic systems both on ...
Tech Xplore on MSN
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 photonic spiking neural system. By enabling fast learning and decision making ...
More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...
Morning Overview on MSN
Scientists use AI to hijack and control specific brain circuits
Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to precise, closed-loop control of neural activity. These tools pair machine ...
Interesting Engineering on MSN
New light-based photonic chips enable robotic learning without electronic computation
Researchers have built new photonic computing chips that allow neural networks to learn using ...
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