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 ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

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

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 ...

The government should protect consumers instead of annoying them.

The (Code-Analyzer) Chrome Extension is designed to help developers optimize their algorithms by providing instant insights into time and space complexity. Whether you are browsing coding platforms, ...

During cardiac arrhythmia, the heart frequency is an important physiological parameter that can be identified by analyzing electrocardiogram (ECG) signals. However, the accuracy of the frequency ...

Abstract: Computational complexity analysis of an algorithm is an integral part of understanding and applying that algorithm. For stochastic, adaptive heuristics in non-convex optimization, however, ...

One of the most complex areas for sell-side execution desks today is dealing with client algorithms, according to the Acuiti’s Q3 Sell-Side Execution Management Insight Report. According to the ...

The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...