Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

Abstract: This paper discusses the design and implementation of parallel processing algorithm for big data under the framework of high performance computing (HPC). In the design of parallel processing ...

Amid fears of a looming encryption crisis from quantum computing, experts are proactively implementing robust defences, ...

Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...

Worried that your latest ask to a cloud-based AI reveals a bit too much about you? Want to know your genetic risk of disease without revealing it to the services that compute the answer? There is a ...