Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman ...

Edge MLIR HLS framework.” Abstract “Driven by the increasing demand for low-latency and real-time processing, machine ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data.

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

AI compresses the decision-action loop, turning hours of analytical deliberation into seconds of machine-assisted judgment.

Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...

What Are Non-Human Identities, and Why Are They Critical for Secure Cloud Environments? Ensuring the security of non-human identities (NHIs) is paramount for organizations operating in cloud ...

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...