Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...
A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, ...
Multiomics analysis sheds new light on the role of NETs in alcohol-induced epilepsy Epilepsy is a highly prevalent chronic ...
Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
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Smarter supply chains through data-driven insights
From AI-powered forecasting to real-time visibility, supply chain analytics is reshaping how businesses predict demand, manage inventory, and respond to disruptions. Leaders like Walmart are using ...
Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...
Swiss-based QoreChain Association releases production-grade testnet v2.19.0 featuring NIST-standard post-quantum signatures (Dilithium-5), reinforcement-learning-driven block sequencing (PRISM), ...
Abstract: The demand for electricity has been rapidly increasing nowadays. So, it is necessary to distribute power to consumers efficiently. Smart grids (SG) can reduce the losses in the distribution ...
Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
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