Abstract: This study explores a machine learning approach for detecting and classifying fetal health which is a crucial aspect in ensuring proper care and wellbeing of both fetus and the mother. The ...

Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, ...

Overview:  Ahmedabad is rapidly emerging as a cost-effective hub for AI startups, backed by strong government support and ...

It’s been a story of the last week or so if you follow the kind of news channels a Hackaday scribe does, that Google have ...

Dive into The Register's online archive of incisive tech news reporting, features, and analysis dating back to 1998 ...

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and ...

Abstract: Spaceborne GNSS reflectometry (GNSS-R) missions have been successfully launched in recent years, such as Technology Demonstration Satellite (TDS-1) in 2014, Cyclone Global Navigation ...

AI-powered coding assistants and development tools are rapidly becoming integral to Java programming, with surveys showing over two-thirds of Java engineers using them regularly for productivity gains ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...