The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

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 ...

Chatbots and fraud prevention applications are becoming more common, but banks are still doing the essential data work needed so AI can do the more ambitious work around investment recommendations.

With the AI-integration in most sectors today, the military domain is no exception. We are living in another transformative ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Abstract: Machine learning has been integrated into numerous applications and has emerged as one of the most transformative technologies in our daily lives. In recent years, the number of individuals ...

A team of Germany-based researchers recently unveiled GlobalBuildingAtlas, which is likely the most detailed 3D map of buildings ever developed. Introduced earlier this month, the database ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...