ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

When you use this tool to remove background from an image, the AI instantly detects the primary subject—be it a sneaker, a ...

We’ve all been there, protecting our ears. The school play in the gym or community hall, where sound is distorted due to glitches in equipment.   “And listening to live performances on the internet ...

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation environments. With its software, teams can explore numerous design specifications ...

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...

MetaChat is a multi-agentic framework, applying an iterative process to interface AI agents with code-based tools, other ...