The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
(A) A traditional fully connected neural network. The layers are connected by black lines corresponding to weights. The neurons separately realize the summation and nonlinear activation functions ...
Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
Implantable bioelectronics are vital to neuroscience, neurological therapies, and brain-machine interfaces. They serve as indispensable interfaces that enable the communication between biological ...
A new technical paper titled “An Artificial Neuron with a Leaky Fin-Shaped Field-Effect Transistor for a Highly Scalable Capacitive Neural Network” was published by researchers at KAIST (Korea ...
Your grade school teacher probably didn’t show you how to add 20-digit numbers. But if you know how to add smaller numbers, all you need is paper and pencil and a bit of patience. Start with the ones ...
The German sensor-maker Leuze claims that it has been able to cut measurement errors in demanding industrial applications by ...
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