Information theory and network physiology are rapidly converging fields that offer powerful frameworks for unraveling the complexities of living systems. At ...
We identified a large and rapidly growing cohort of people with MBC. The majority were initially diagnosed with non-metastatic breast cancer. Their demographic and clinical characteristics can be used ...
The demonstrator model, based on Madrid urban conditions, is able to calculate yields but can also be used to evaluate alternative maximum power point tracking (MPPT) algorithms. The team combined ...
A sharp critique of the outrage industrial complex and how algorithms profit from moral anger and constant digital conflict.
It’s frustrating when you follow the SEO playbook perfectly—identifying keywords, writing long-form guides—only to see your ...
Tempe, Arizona - January 15, 2026 - PRESSADVANTAGE - Tonys Picks, a California company, announced today the integration ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
Abstract: This paper proposes an e-commerce user portrait construction algorithm based on big data technology, combining deep learning and cluster analysis, and realizing accurate portrait ...
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