Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

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 ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.