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Tech Xplore on MSN1d
New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...
Tech Xplore on MSN5d
All-topographic neural networks more closely mimic the human visual system
Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...
Semiconductor Engineering4d
Machine Intelligence on Wireless Edge Networks with RF Analog Architecture (MIT, Duke)
A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke ...
akm6d
St. Petersburg State University physicists have created an architecture for ultrafast neural networks of a new generation
The architecture proposed by St. Petersburg State University physicists belongs to the class of Binary Neural Networks (BNN) working with binary input and output signals of neurons. Unlike traditional ...