Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...

Mixed anxiety-depressive disorders (MADD) and suicidal thoughts, online bullying, poorer self-esteem, alcohol, cannabis and psychoactive substance use… social networks exploit young people's ...

Researchers at Central South University in China have developed a new model to improve ultra-short-term photovoltaic (PV) power prediction, as detailed in their publication in Frontiers in Energy. In ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

Georgetown University's Lombardi Comprehensive Cancer Center researchers have identified a new way to reprogram T cells, which are infection and tumor-fighting white blood cells, so that they have a ...

Master TikTok SEO to boost your video rankings and unlock discover page tips for creating memorable, highly discoverable content that reaches a wider audience. TikTok - Instagram account TikTok has ...

The artificial intelligence boom is lifting the economy and has pushed the stock market to record highs, thanks to big gains for Nvidia and a few of its tech peers. But the broader economy tells a ...

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that solved a complex physics problem thousands of times faster than the world's ...

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...

Abstract: This research aims to formulate an optimal control algorithm for a hydrothermal air-conditioning system, with the objective of minimizing energy consumption while simultaneously ensuring ...

Traditional multi-pass cells (MPCs) rely on grid search algorithms for design, which suffer from problems such as long design time and high computational cost. Additionally, these conventional methods ...