Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Synack, the leader in human-validated AI pentesting and continuous security validation, today announced that Sara AI Pentesting has achieved “Awardable” status through the Chief Digital and Artificial ...

Researchers have for the first time virtually unwrapped and read an entire sealed Herculaneum papyrus scroll, carbonized ...

Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

New machine learning framework predicts promising nucleoside hydrogels before they are synthesized and tested in the ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Executives are making significant investment decisions based on AI outcomes they cannot independently verify. A machine ...

Abstract: High-speed (HS) electric machines increase power density by elevating rotor speed, enabling direct connection to an application such as compressors or turbine impellers. These features ...

Purdue University's online master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The ...

aDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK bDepartment of Radiology, Imperial College Healthcare NHS Trust, London, UK This is the second paper in a ...