This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
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AI's bottleneck has shifted and a quiet NPU company is fiercely emerging at the center of the transition
For the past decade, progress in artificial intelligence has been driven by ever-larger training runs on GPU clusters. But as ...
Researchers in China have developed an error-aware probabilistic update (EaPU) method that dramatically improves the ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
CentML Inc., a startup working to improve the performance of artificial intelligence models, today announced that it has closed a $27 million seed round. The investment was led by Alphabet Inc.’s ...
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 ...
A neural network is a machine learning model originally inspired by how the human brain works (Courtesy: Shutterstock/Jackie Niam) Precision measurements of theoretical parameters are a core element ...
A new technical paper titled “xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems” was published by researchers at ETH Zurich and Universita di Bologna. “Ternary ...
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