Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Effective monitoring of development aid is the foundation for assessing the alignment of flows with their intended ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

There are over 100 invasive plant species wreaking havoc on the state’s forests and waterways, but new technology may help ...

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.