For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...
Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the way ...
The hype over Large Language Models (LLMs) has reached a fever pitch. But how much of the hype is justified? We can't answer that without some straight talk - and some definitions. Time for a ...
A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...
On September 15, People's Financial News reported that according to the Qichacha APP, the patent for "A Quantization Training Method, Device, and Equipment for a Neural Network Model" by Cambricon's ...
A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Leann Chen explains how knowledge graphs ...
On September 15, People's Financial News reported that according to the Qichacha app, recently, Cambricon's wholly-owned subsidiary, Anhui Cambricon Information Technology Co., Ltd., was granted a ...
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