Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

A fraud-detection AI model trained on COVID-19 loan data could have flagged potentially tens of billions of dollars in ...

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 ...

In some cases, parents have opted to rent houses for their school-going children with little supervision. - Kenya breaking news | Kenya news today | Capitalfm.co.ke ...

A 12-week program equipping 50 Palestinian graduates with advanced data science skills, practical experience, and pathways to ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Abstract: Diagenetic snow facies represent distinct zones of snow and ice characterized by unique snow physical properties and attributes. These facies serve as indicators of changes in the surface ...

Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...