Numberphile revived an ancient multiplication trick—halves and doubles—also called Egyptian or Russian math, where you ...

In] any piece of beautiful mathematics, you almost always find that there is a physical system which actually mirrors the ...

To close out the semester, here is a conversation I had with fellow math PhD student Michael Catli. Michael and I both started our PhDs in Fall 2023. I knew him slightly before that, via a mutual ...

In a world run by computers, there is one algorithm that stands above all the rest. It powers search engines, encrypts your data, guides rockets, runs simulations, and makes the modern digital ...

Abstract: Modular multiplication is one of the most compute-intensive arithmetic operations. Most public-key cryptosystems utilize modular multiplication of integers of various lengths, depending on ...

Explore homomorphic encryption for privacy-preserving analytics in Model Context Protocol (MCP) deployments, addressing post-quantum security challenges. Learn how to secure your AI infrastructure ...

Khadija Khartit is a strategy, investment, and funding expert, and an educator of fintech and strategic finance in top universities. She has been an investor, entrepreneur, and advisor for more than ...

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

When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...

Abstract: This paper presents a new processor array architecture for scalable radix 2 Montgomery modular multiplication algorithm. In this architecture, the multiplicand and the modulus words are ...

Algorithm finds smallest dataset that guarantees optimal solutions to complex problems Determining the least expensive path for a new subway line underneath a metropolis like New York City is a ...