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 ...

To effectively monitor brand mentions, you’ll want reliable software on your side. Below are some of the best tools and ...

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...

Discover how space debris tracking technology, automated satellite collision avoidance systems, and active debris removal missions prevent Kessler syndrome and protect orbiting spacecraft.

Time may feel smooth and continuous, but at the quantum level it behaves very differently. Physicists have now found a way to measure how long ultrafast quantum events actually last, without relying ...

Or Initiative launches at Chapman University to provide curriculum support and professional development for teaching ...

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...

The research industry is at a turning point. Not because it’s failing, but because the world around it has transformed and what many clients want has shifted, but too many of the industry’s practices ...

For example, you wanted a calendar of reminders for re-ordering vitamins, changing air conditioner filters, oil changes, and ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Abstract: In today's era, transactional datasets are ubiquitous and continue to grow in size, making it increasingly challenging to mine frequent itemsets efficiently. The Apriori algorithm is a ...

Abstract: This paper addresses the persistence and security problem of nonlinear distributed heterogeneous platoons during driving based on the discrete-time control barrier function (DCBF).