Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

SportsLine's self-learning AI reveals NFL player props and its SGP picks for Bears vs. 49ers on 'Sunday Night Football' ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...