Image courtesy by QUE.com The University of North Texas (UNT) is stepping into the future with a new undergraduate major in ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

Stack Agentic Computing Platform Into a Secure and Scalable Thinking MachineRemote-First-Company | VAST Forward | SALT LAKE CITY, UT, Feb. 25, 2026 (GLOBE NEWSWIRE) -- Today at VAST Forward 2026, VAST ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

With the rise of ransomware, phishing, zero-day exploits and other cyberthreats, organizations worldwide are confronting a cybersecurity crisis that ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

Enterprise adoption of cognitive intelligence platforms has accelerated, yet executive confidence has not kept pace. Many deployments promise ...

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...