Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...

You’ve long heard about search engine optimization, aka SEO. Companies are now spending big to feature prominently in the ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

Overview: Quantum technology is entering public conversations faster than people can understand it.Research shows that how ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

The pursuit of carbon neutrality is driving a fundamental transformation in internal combustion engine technology, with a ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Why post-quantum cryptography matters, and how SecuPi helps you prepare Preparing for quantum threats isn't about a single upgrade: it's about building adaptable systems. SecuPi is designed to evolve ...