The real-world takeaway? Exercise remains one of the most effective ways to boost circulating mature BDNF. Making muscles ...

Disabling this setting prevents your data from being used, but data already used for training can't be taken back ...

Abstract: Federated Learning (FL) has attracted significant attention for its capability to collaboratively train neural network (NN) models across multiple data owners while protecting data privacy.

Abstract: Deep learning models based on convolutional neural networks (CNNs) have been used to classify Alzheimer’s disease or infer dementia severity from T1-weighted brain MRI scans. Here, we ...

There’s a quiet thrill in stepping into a fitting room with no agenda—just curiosity and an open mind. At UNIQLO’s Fifth Avenue flagship store in New York, Olivia Galli embraces exactly that, pulling ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

It synthesizes a large-scale SELD dataset designed to include numerous sound event instances and various acoustic environments. It introduces PSELDNets trained on the large-scale synthetic SELD ...

Reliable estimation of Chlorophyll-a concentration (Chl-a) from remotely sensed data is essential for monitoring the health of aquatic ecosystems and supporting environmental policy decisions (El ...

Kent ISD project manager Aaron Stockeland, left, Kent ISD Facilities and Operations Director Russell Bray, and Kent Career Tech Center agiscience instructors Brent Willett and Heather Pratt (Photo by ...