Introduction This article outlines the research protocol for a multicentre, randomised, controlled study designed to evaluate the therapeutic effect of a modified olfactory training (MOT) based on ...
Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.
Staring at a blank slide while wrestling with raw numbers still slows teams down. A 2025 SlideSpeak study found chart creation is “one of the most frustrating steps” in deck building, and 40 percent ...
Pre-trained models for programming language have achieved dramatic empirical improvements on a variety of code-related tasks such as code search, code completion, code summarization, etc. However, ...
Blood-flow restriction sounds like torture, but it could boost your cycling performance – here's why
Not a week goes by without the launch of a new wearable device that is claimed to be capable of rethinking your recovery, cranking up your performance ceiling or generally firing up your fitness ...
Abstract: Surrogate gradient (SG) is one of the most effective approaches for training spiking neural networks (SNNs). While assisting SNNs to achieve classification performance comparable to ...
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