A team of researchers from Canada-based Laurentian University has developed an AI model that enables knitting robots to ...

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 ...

To address these problems, a research team led by Professor Kenta Nakai of the Institute of Medical Science, The University ...

Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...