A research team led by Omar Ghattas, professor of mechanical engineering and principal faculty member of the Oden Institute at The University of Texas ...

While generative AI is about making new things, predictive AI is about making informed guesses about what’s coming next, backed by solid data analysis. It’s less about flair and more about reliable ...

Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications ...

Econometrics, the application of statistical methods to economic data, can be instrumental in the identification of ...

Abstract: The Willow Catkin Optimization Algorithm (WCO) is a newly proposed meta-heuristic algorithm in recent years that has a simple structure and excellent optimization searching ability, but the ...

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...

This has been a roller coaster year for the S&P 500, Nasdaq Composite, and Dow Jones Industrial Average, with all three enduring a mini-crash and a rip-roaring rally to new highs. A new ...

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 ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

Note: If these links appear to be broken, don't worry! Papers are often revised during a WG21 meeting before the final vote. When that happens, there's a delay of a few weeks between the end of the ...

Fake news across social media is becoming ever easier to spread and more difficult to detect. That’s thanks to increasingly powerful artificial intelligence (AI) and cuts to fact-checking resources by ...