I think there's a bit more to it than that.

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Fast, accurate and arbitrage-free volatility surface fitting remains a core challenge for options desks. Fabrice Deschâtres presents convex volatility interpolation (CVI), a framework that casts the ...

To familiarize participants with benchmarking methods and software. Benchmarking deals with the problem of combining a series of high-frequency data (e.g., quarterly, or monthly data) with a series of ...

Motion smoothing has a bad reputation among most cinephiles, as well as many home theater enthusiasts and content creators. Also known as motion or video interpolation, motion smoothing is available ...

Understanding the interplay between network architecture, dataset statistics, and learning algorithms is a key challenge in deep learning. We overcome this challenge analytically for zero-noise ...

In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous ...

ABSTRACT: The dasymetric method is used to portray accurately phenomena such as densities of population over one space. In general, this method is preferred to the classical choropleth one since it ...

Conventional individual head-related transfer function (HRTF) measurements are demanding in terms of measurement time and equipment. For more flexibility, free body movement (FBM) measurement systems ...