Explore privacy-preserving biometric verification techniques using handwritten inputs. Learn about securing sensitive data with homomorphic encryption and zero-knowledge proofs for authentication.

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 ...

Being book smart is not the same as being street smart. Just because someone has a pile of degrees doesn’t mean that they have excellent problem solving or social skills. At the same time, a person ...

Tucked away in the unassuming town of Nevada, Missouri sits a bargain hunter’s paradise that defies the digital age—the Wagon Wheel Flea Market, where forgotten treasures and dusty relics await their ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

MIT researchers have developed a new method for designing 3D structures that can be transformed from a flat configuration ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

Complex networks are networks that feature patterns of connection between their elements that are neither purely regular nor purely random. Most real-world networks, such as transportation, social or ...

Al-Gahtani, S. (2026) Review of Literature Investigating the Correlation between Prevalence of Risk Factors Associated with ...