Watch, BSAG is introducing real-time analysis of passengers. What is marketed as an increase in safety marks a new level of ...

The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based on ...

ParAMD is a shared memory parallel implementation of the approximate minimum degree (AMD) algorithm with multiple elimination via distance-2 independent sets. For more information, please read our ...

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.

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 ...

In this work, we describe efficient parallel Monte Carlo algorithms executed on GPUs using CUDA, tailored explicitly for the CVF model. We benchmark accessible sizes of 17 million molecules with the ...

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 ...