AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92 % accuracy spoken ...

print('The corresponding test accuracy is {0:.2 test_accuracy)) ... print("Best validation accuracy of {0:.2 best_validation_accuracy, best_iteration)) ... print ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Autonomous Agents Platform Market is predicted to register growth from USD 8.8 bn in 2025 to about USD 221.1 bn by 2034 ...

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 ...

Extends literacy tutoring rates to all families while the state rolls out the Arkansas Literacy Tutoring Grant Program RUSSELLVILLE, Ark., Dec. 21, 2025 / PRZen / Arkansas is taking meaningful steps ...

Imagine a camera that keeps a laser pencil sharp down to a hair’s width—257 nm! New AI trick watches the tiny bright dot and nudges the stage so ...

This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...

The Department of Health and Human Services' health tech arm wants to hear from the healthcare industry about ways to speed up the adoption of artificial intelligence in medical treatment. | HHS wants ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

AI is the ultimate force multiplier for cybercriminals, because it makes scams faster, cheaper, and more convincing at scale. It can automate tasks that criminals used to do manually—or would never ...

Abstract: The growing interest in renewable energy and the falling prices of solar panels place solar electricity in a favourable position for adoption. However, the high-rate adoption of intermittent ...