O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

BMW has long been synonymous with the ultimate driving machine. But as we hurtle toward an increasingly connected future, the ...

Losses Surge to €4.2 Billion. Europe’s latest payment fraud figures are stark. According to the joint 2025 EBA-ECB report, ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Tian, Y. (2025) Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors —Mixed Research Based on the UNESCO Framework for Teachers’ AI Competence. Open Journal ...

Antibody-based therapies are used to treat numerous diseases, from cancer to rheumatic disorders and multiple sclerosis. Antibodies recognize and bind to very specific structures. This allows them to ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Many developers associate machine learning and large language models with Python. That makes sense because Python was the first choice for many early adopters, and it remains popular today. But ...

In recent months, the Food and Drug Administration and National Institutes of Health have announced new initiatives to reduce and replace animal testing in biomedical research. Central to these ...