Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

North America Captures a Significant Revenue Share in the Automated Machine Learning Market, Supported by Government-Backed ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: Federated learning (FL) is a promising distributed machine learning framework for mobile networks, where an aggregation server produces a global model by aggregating the local models from ...

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...

Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials Group/AGITG CO.17/20 Trials ...