In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Researchers in China have developed an error-aware probabilistic update (EaPU) method that dramatically improves the ...

Abstract: Deep neural networks (DNNs) with fully homomorphic encryption (FHE) are gaining traction in Internet of Things (IoT) applications requiring robust protection of data inference and model ...

E Network Technology Group Limited (Nasdaq: MASK) (the 'Company” or '3 E Network”), a business-to-business ('B2B”) ...

Abstract: The overwhelming scale of large language models (LLMs) exhausts the on-device communication and computation resources in vehicular networks, limiting its application in performing inference ...

Researchers reconstruct the spatial spread of pandemic respiratory viruses across metropolitan areas throughout the United ...

Margin pressures persist as Cisco adapts to AI-driven competition. Click here to read why I recommend buying CSCO stock.

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

In an increasingly digital era, modern life and economic activities heavily rely on networks. Network stability directly ...

According to @godofprompt, MIT researchers demonstrated that up to 90% of a neural network’s parameters can be deleted without losing model accuracy, a finding known as the 'Lottery Ticket Hypothesis' ...