As humans age beyond early adulthood, their physical and mental functions tend to slowly worsen over time. One of the most ...

EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

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

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 ...

Artificial intelligence (AI) can be trained to see details in images that escape the human eye. In 2023, an AI neural network ...

Cornell appointed Prof. Thorsten Joachims, computer science and information science, to be the first vice provost for ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Apple Creator Studio bundle starts at $12.99 monthly with a $3 student plan, helping many drop Adobe Apps and save big each ...

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

I am a 95-year-old professional woman who lives alone and requires nightly oxygen and has mobility problems. I had a very difficult time during the Xcel outage that lasted almost three days.