South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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 ...

Guzmán, P. and Halpern, M. (2026) Effects of Treatment Delays on Colorectal Cancer Survival. Journal of Cancer Therapy, 17, ...

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

Toward a Further Understanding of Suicide Risk from a Mindset Framework among Older Adults. Psychology, 17, 126-137. doi: ...

The same AI methods that power ChatGPT can now allow you to talk to the Moon Its good to be skeptical when applying ...

Researchers identify novel plasma biomarkers for early detection of pancreatic ductal adenocarcinoma in two retrospective phase 2 studies.

Background: Previous reports have suggested that the incidence of psychotic disorders has either been stable or decreasing ...

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 ...