AI prediction loops exploit uncertainty, deepen dopamine dependence, and reshape anticipation, decisions, and control ...

Something to look forward to: A new tool could dramatically accelerate how scientists design and test batteries. Researchers at the University of Michigan have developed a machine-learning system that ...

HONG KONG, Jan 28 (Reuters) - A team of Hong Kong scientists has developed an artificial intelligence weather-forecasting system to predict thunderstorms and heavy downpours up to four hours ahead, ...

The Challenge: The CAFA 6 (Critical Assessment of Functional Annotation) competition requires predicting Gene Ontology (GO) terms for 224,309 proteins—a computationally intensive task demanding ...

SleepFM achieved a C-Index and area under the receiver operating characteristic curve of at least 0.75 for 130 conditions, including death, dementia, MI, heart failure, chronic kidney disease, stroke, ...

To construct and validate a risk prediction model for refeeding syndrome (RFS) in patients with severe acute pancreatitis (SAP), identify high-risk individuals before overt electrolyte abnormalities ...

Microsoft has moved its Model Context Protocol (MCP) support for Azure Functions to General Availability, signaling a shift toward standardized, identity-secure agentic workflows. By integrating ...

Please provide your email address to receive an email when new articles are posted on . Early detection and treatment of sepsis can improve outcomes for children. A team of physicians and computer ...

Palantir (NASDAQ: PLTR) remains one of the most closely followed artificial intelligence stocks heading into 2026 as investor focus turns to the company’s commercial expansion and rising enterprise AI ...

Objectives Methotrexate (MTX) effectively controls rheumatoid arthritis (RA) but often leads to side effects (SE) such as gastrointestinal (GI) issues, liver toxicity and bone marrow suppression. To ...

A new deep learning architectural framework could boost the development and deployment efficiency of autonomous vehicles and humanoid robots. The framework will lower training costs and reduce the ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...