Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

The Space Force is seeking industry input on commercial space- and ground-based environmental monitoring data and services.

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

In the age of artificial intelligence, higher education institutions must move beyond simply transmitting knowledge and ...

Nilesh Charankar journey reflects a quiet but steady commitment to progress—one guided by curiosity, discipline, and a belief that technology should ultimately serve society.

Slomp Filho, M. (2026) Copyright in Generative Artificial Intelligence. Beijing Law Review, 17, 1-10. doi: ...

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 ...