The ongoing effort captures high-quality images and collection data in seconds, creating an online database of bees, beetles, butterflies and flies ...
Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Researchers used more than 28,000 meteor events recorded by the Lowell Observatory Cameras for All-Sky Meteor Surveillance ...
Google Colab has taken the data science community by storm. This powerful tool, developed by Google, allows users to write and execute Python code in a web-based environment, making it exceptionally ...
Scientists have developed an AI-based system that can predict wheat yields early and with high accuracy using handheld field sensors and deep learning, a development that could strengthen India’s food ...
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 ...
Casual racism should be tackled by getting more people to understand it is not acceptable: David Neo
SINGAPORE – Casual racism should not be tackled with more laws, but by helping people understand it is not acceptable in Singapore. Responding to a student during a dialogue session on July 12 at ...
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 ...
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