Artificial intelligence (AI) is increasingly reshaping diagnostic pathology, with breast pathology representing one of the most advanced and clinically impactful areas of adoption.
BackgroundBird populations are facing unprecedented global pressures from climate change, habitat fragmentation, land use ...
A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
The ongoing effort captures high-quality images and collection data in seconds, creating an online database of bees, beetles, ...
Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...
In 1770, after Captain Cook’s Endeavour struck the Great Barrier Reef and was held up for repairs, botanists Joseph Banks and Daniel Solander collected hundreds of plants. One of those pressed plants ...
Abstract: The aim of this study is to enhance image classification using Federated Learning (FL) applied to the CIFAR100 dataset. We created a decentralized FL environment with multiple clients, ...
n 2017, in the North-East of Portugal, researchers from Bragance University and Polytechnic Institute filed a patent to use the tannins from the male flowers of chestnuts as preservatives for wine.
We aimed to implement four data partitioning strategies evaluated with four federated learning (FL) algorithms and investigate the impact of data distribution on FL model performance in detecting ...
The creative new approach could lead to more energy-efficient machine-learning hardware. On a table in his lab at the University of Pennsylvania, physicist Sam Dillavou has connected an array of ...
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