I’ve always been interested in the tradeoffs that designers make when defining topologies and selecting components for a ...

Chaotic hash functions represent a cutting‐edge convergence between nonlinear dynamics and cryptographic science. These functions employ chaotic maps—mathematical systems that exhibit extreme ...

Meta's work made headlines and raised a possibility once considered pure fantasy: that AI could soon outperform the world's best mathematicians by cracking math's marquee "unsolvable" problems en ...

1. Joints - The Foundation of Movement Joints are the moving links in a robotic arm. They let the arm bend, rotate, or change ...

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

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

Quantum chemistry is quietly entering a new phase, one where some of the hardest problems in materials science are finally ...

Inspired by how our brains function, the AI algorithms referred to in the paper are known as spiking neural networks. A ...

Discover how the Luhn Algorithm verifies credit card accuracy, supports secure transactions, and helps prevent errors in inputting Social Security numbers.

To see how effective these modern AI coding tools are becoming, we decided to test four major models with a simple task: ...

C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...