Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

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 ...

Classical computing has inherent limitations in capturing cellular dynamics. This Roadmap article discusses how recent advancements in quantum computing could overcome bottlenecks in spatiotemporal ...

PDF files have become ubiquitous in our multi-platform world. This convenient file format makes it possible to view and share documents across various devices using various operating systems and ...

Whether you're looking to get ahead in your schoolwork, improve a business skill, edit video, or even master French pastry, the top online learning sites we've tested can help. I'm an expert in ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

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 ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Weekly roundup exploring how cyber threats, AI misuse, and digital deception are reshaping global security trends.

Machine Design distills the cutting-edge landscape of advanced manufacturing through the eyes of multidisciplinary engineers, covering technical insights on the foundational and emerging principles of ...