Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster versions of gaming graphics cards. The company’s AI accelerators strip away ...

ICs and SoCs are utilizing a range of processing elements that allow them to optimize current workloads while hedging their bets for the future. What used to be a simple choice between an ASIC, FPGA, ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Sorry, call me a luddite, a naif who is spitting into the wind that the future is typhooning. Sure, the bots are coming for my job as they are for those of every ...

Abstract: During a typical cyber-attack lifecycle, several key phases are involved, including footprinting and reconnaissance, scanning, exploitation, and covering tracks. The successful delivery of a ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...

Abstract: Machine learning (ML) algorithms have been widely deployed in mobile edge computing (MEC). Howerver, algorithms in MEC always demands high computational power to process complex models and ...

Machine learning is one of the most in-demand tech skills of our time—and online learning platforms like Udemy make it easier than ever to get started. Whether you’re a beginner aiming to break into ...