Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

For safety-critical and highly regulated situations such as advanced driver assistance systems (ADAS) and automated driving ...

Matt Korda, the associate director of the Nuclear Information Project at the Federation of American Scientists, assisted USA ...

Decode the AI buzzwords you see daily. Learn 10 essential terms, such as model, tokens, prompt, context window, and ...

DARPA’s Triage Challenge tests drones and ground robots that can locate casualties, assess injuries remotely, and relay data ahead of the 2026 finale.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

We take a look back at some of the biggest SBC stories and interviews covered on our podcast over the last 12 months.

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Abstract: With the purpose of managing efficiency in a large number of published vulnerabilities, the time-intensive process requires significant effort and efficient vulnerability prioritization ...

Abstract: Non-attendance at scheduled medical appointments, or "no-shows," significantly disrupts healthcare delivery and resource allocation. This study utilizes demographic and healthrelated data to ...

Under the mentorship of Ph.D. student Venkatesh Sivaraman, Ziyong Ma spent the summer developing a tool designed to help clinicians query medical databases without needing programming expertise.

To quote a certain superhero: We're in the endgame now. The first playoff spots were clinched in Week 15, and at this point in the year, just about every result has the ability to swing a playoff race ...