Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

Sarat Kiran highlights a pivotal shift in supply chain evolution where data, intelligence, and automation converge ...

In the rapidly evolving fields of computer vision (CV) and machine learning (ML), both software frameworks and hardware ...

A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

Python's influence in AI development is undeniable, bridging the gap between human intelligence and machine learning ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While ...

Engineered tin dioxide nanosensors combined with deep learning enable precise gas classification, improving detection in ...

Patients are compared to each other using multivariate time series (MTS) data. Each ICU patient's stay is represented as a ...

Recent advances in robotics and machine learning have enabled the automation of many real-world tasks, including various ...

Chinese Academy of Sciences (CAS), has developed a machine learning (ML) model enhanced with expert knowledge to classify ...