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 ...

What Is Physical AI & Robotics? Physical AI & Robotics refers to intelligent systems where artificial intelligence is ...

Acute respiratory distress syndrome (ARDS) remains a major challenge in critical care, with mortality rates often exceeding 35–40%. Mechanical ...

Nuclear power is among the cleanest energy sources on Earth, but the materials that fuel it can degrade during operation. A new international study may unlock safer, longer-lasting fuel for the next ...

Background Mechanical thrombectomy (MT) is the primary treatment for acute ischemic stroke (AIS) caused by large vessel occlusion (LVO). However, the likelihood of futile recanalization (FR) at 90 ...

A novel form of high-tech concrete known basalt fiber-reinforced high-performance concrete (BFHPC) has been developed using traditional materials that require extra admixtures to improve its ...

ABSTRACT: Predicting the material stability is essential for accelerating the discovery of advanced materials in renewable energy, aerospace, and catalysis. Traditional approaches, such as Density ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Repository of Jupyter notebook tutorials for teaching the Graph Machine Learning Foundation and Applications Course at the Indian Institute of Technology, Kharagpur, Autumn Semesters.