Bitcoin has long served a simple purpose: storing and transferring value. The blockchain’s inherent limitations in scalability and programmability prevented use cases like high-frequency payments and ...

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.

The incidence of severe maternal morbidity remains high among patients with sickle cell disease, but a novel risk calculator ...

The Traits Company, an agricultural biotechnology company headquartered in Research Triangle Park, has announced a strategic collaboration with U.K.-based Wild Bioscience to accelerate the development ...

Isometric has launched a pyrolyser pre-approval scheme designed to remove a major bottleneck in validating and expanding ...

Secretary Pete Hegseth's directive to trim 20% of the four-star ranks is a necessary first step, but it risks becoming another exercise in "reorganizing the deck chairs" if the underlying architecture ...

A study led by researchers at the Institute for Research in Biomedicine of Lleida (IRBLleida), the University of Lleida (UdL), the Universitat Oberta de Catalunya (UOC) and Arnau de Vilanova ...

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 ...

The symposium underscored that the Indian market is shifting from early-stage EV rollouts toward structured, compliance-led ...

By eliminating the need for client-side model training, private capital firms can now gain speed, accuracy, and data transparency with a new automated solution for ingesting portfolio company document ...

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 ...