Maolac is not designed to imitate human milk, but to understand its biological advantages. Using a proprietary AI-driven ...

HYDERABAD: Activity-based learning will be the key focus of the final report on the Intermediate curriculum for the 2026–27 ...

HYDERABAD: Activity-based learning will be the key focus of the final report on the Intermediate curriculum for the 2026–27 academic year, which is expected to ...

St. Thomas’ School, Dwarka, marked a step towards experiential learning with the inauguration of ‘Eureka’ — a Science and ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Background The growing population of patients with adult congenital heart disease (ACHD) present complex lifelong care needs ...

Games-based activities foster active, relaxed learning and collaborative problem-solving. Rebecca Andrew and Sam Chadwick offer guidance on how to design and tailor them to suit a range of needs ...

Memories and learning processes are based on changes in the brain’s neuronal connections and, as a result, in signal transmission between neurons. For the first time, DZNE researchers have observed an ...

Abstract: Human Activity Recognition (HAR) refers to the detection of people’s activities during daily life using various types of sensors. Machine learning (ML) has contributed to recording many ...

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

Volunteer engagement offers a viable, experiential learning pathway, enabling young people to develop essential skills while ...

Abstract: Various types of sensors can be used for human activity recognition (HAR), and each of them has different strengths and weaknesses. Sometimes, a single sensor cannot fully observe the user’s ...