1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

First, let's discuss the core elements of this development, with algorithms being the most critical. In AI agent development, we often mention the use of machine learning algorithms, and of course, ...

Can Machine Learning Help Prevent Local Crime? Public safety has always been one of society’s most urgent priorities. From ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

The integration of AI also strengthens context-awareness, enabling production systems and service platforms to dynamically adapt to shifts in human behavior or operational requirements. This ...

The study highlights potential identity shifts as AI assumes roles traditionally tied to worker competence. For specialists ...

This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

Six University of Waterloo researchers are being recognized as Royal Society of Canada (RSC) fellows and a member of the RSC ...

Direct instruction from those who work on Google’s AI projects. Up-to-date material based on real industry trends in 2025.

The field of oncology has witnessed remarkable strides in early detection and treatment, yet cancer remains a formidable threat with high mortality rates ...