Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

This breakthrough technology is based on the first-principles approach, eliminating the traditional AI "black box illusion." The revolutionary aspect of Congzi AI lies in its unified core equation of ...

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

We present optimal parallel QR factorization algorithms with reduced communication overhead. QR factorization is widely applied to solve various problems in numerical linear algebra. Our focus is on ...

OpenAI has launched a new Codex desktop app for macOS that lets developers run multiple AI coding agents in parallel, shifting software development from writing code to managing autonomous tasks and ...

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...

A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

Simulating water droplets made up of millions of molecules and on timescales as needed in biological and technological applications is challenging due to the difficulty of balancing accuracy with ...

Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...