Researchers from Rochester Institute of Technology and six other universities are teaming up to build synthetic neurons and a programmable network of such neurons in an effort to better understand the ...
In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...
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 research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
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 ...
(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 ...
The German sensor-maker Leuze claims that it has been able to cut measurement errors in demanding industrial applications by ...
Researchers have unveiled a breakthrough technology that could transform the way scientists build and study lab-grown brain ...
Researchers from Zhejiang Lab have proposed a novel spatiotemporal mode multiplexing technology, coupling pulsed orbital angular momentum (OAM) beams with diffractive deep neural networks (D2NN) and ...
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