Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

PUNE, India, Feb. 9, 2026 /PRNewswire/ -- QKS Group announced today that it has named VIPRE Security Group as a 2025 technology leader in the SPARK Matrix™: Enterprise Email Security, 2025.

This half-day symposium at Fordham London brings together professionals from a variety of disciplines to address the ...

Abstract: Nonnegative matrix factorization (NMF) is a powerful tool for signal processing and machine learning. Geometrically, it can be interpreted as the problem of finding a conic hull, which ...

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 ...

Nucleus Research is the recognized global leader in ROI technology research. Using a case-based approach, we provide research ...

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 ...

Asia-Pacific held a dominan Market position, capturing more than a 42.6% share, holding USD 2.4 Billion revenue.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at ...