Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

The post Apple Researchers Outline a New Method for More Natural Sounding Conversations With Siri appeared first on Android ...

Vaccination is one of the greatest achievements in immunology and medicine, nearly eradicating many infectious diseases that ...