Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

There are few things more pleasing to your average mathematician than when a result surprises you. Take e, for example – a transcendentally irrational number equal to a little more than 2.7 – and ...

My friend turned to me the other day with a sly smirk and whispered, “Are you also part of Group 7?” I shook my head, unsure of what she meant—feeling left out of whatever secret club she was ...

For many Americans, cutting back on dining out is one of the first signs of financial pressure—especially among lower- and middle-income households. And when they do choose to eat out or order in, ...

YouTube Shorts, the shortform platform from Google-owned video giant YouTube, has seen massive success since its launch in September 2020. Today, an estimated 1% of all waking human hours are spent ...

Jai Hyun Park, CryptoLab Inc. Abstract. Matrix multiplication of two encrypted matrices (CC-MM) is a key challenge for privacy-preserving machine learning applications. As modern machine learning ...

Abstract: Optical scatterometry is a fast, non-destructive, and accurate technique for monitoring integrated circuits (ICs) for defects during their lithographic production process. The detection of ...

RALEIGH, NC. - Eric Tulsky, General Manager of the National Hockey League’s Carolina Hurricanes, today announced that forward Jesper Fast underwent neck surgery on August 6. Fast is not expected to ...