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Brain-like computer steers rolling robot with 0.25% of the power needed by conventional controllersA smaller, lighter and more energy-efficient computer, demonstrated at the University of Michigan, could help save weight and ...
On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...
Neuron-inspired processing is used by living computers to create more rapid, smarter, and more environmentally friendly ...
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New training technique opens the door to neural networks that require much less energy"In conventional neural networks, the output signals change gradually," says Memmesheimer, who is also a member of the Life and Health Transdisciplinary Research Area. "For example, the output ...
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Neural network learns to hesitate for improved accuracyResearchers from the Skoltech AI Center, together with colleagues from the Institute for Information Transmission Problems of ...
It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.
Researchers from the Yunnan Observatories of the Chinese Academy of Sciences and Southwest Forestry University have developed ...
Networks of neurons can perform computations that have proved very difficult to emulate in conventional computers ... can we characterize the dynamics of neural networks with recurrent connections?
Imagine fiber optic cables acting as vast sensor networks, detecting vibrations for everything from earthquake warnings to ...
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Combining photonic neural networks with distributed acoustic sensingA research team from China has successfully integrated photonic neural networks with distributed acoustic sensing (DAS) ...
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