The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

School officials in Plymouth say new safety procedures are now in place after a kindergarten student wandered off school ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Abstract: In real-world scenarios, scanned point clouds are often incomplete due to occlusion issues. The tasks of self-supervised and weakly-supervised point cloud completion involve reconstructing ...

Elon Musk has once again emphasised what it will take to have actual safe, unsupervised Full Self-Driving (FSD). To Musk, the ...

Abstract: Unsupervised domain adaptation (UDA) has demonstrated significant success in intelligent mechanical fault diagnosis. However, these methods primarily focus on transferring knowledge from ...

Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...