This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Abstract: Numerous efforts have been made to find efficient optimization methods that reduce resolution times to obtain solutions to the optimal power flow problem in alternating current (ACOPF).

Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Machine vision technology is being used for a robotic weed management system that avoids the environmental effects of herbicides and fills the agricultural labour gap.<br /><br /> ...

Discover why algorithms and data structures form the foundation of contemporary computing. Discover how DS&A spurs innovation ...

A machine with a tree growing through it is tested for operation. Opinion: James Talarico might be the antidote to MAGA Christianity Ford CEO Jim Farley said Trump would halve the EV market by ending ...