Abstract: Nonconvex-concave (NC-C) finite-sum minimax problems have broad applications in decentralized optimization and various machine learning tasks. However, the nonsmooth nature of NC-C problems ...

Abstract: As a potential solver for combinatorial optimization problems (COPs), the convergence speed and accuracy of Ising machines still have room to be improved at the level of algorithm and ...

Full Waveform Inversion (FWI) is capable of finely characterizing the velocity structure, anisotropy, viscoelasticity, and attenuation properties of subsurface media, which provides critical ...

The professor and has team received the prestigious Misha Mahowald Prize in Neuromorphic Engineering for their work on ...

Alessandro’s research interests are in probability, optimization and their applications to business and economics. His research has appeared in several journals including the Annals of Applied ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

The Mpemba effect is an intriguing physical phenomenon that causes some systems to cool faster when they are hot than when ...

Wind power, a key source of renewable energy, relies on large turbines to generate electricity. When designing and ...

AUSTIN, TX AND ROUND ROCK, TX / ACCESS Newswire / March 19, 2025 / Venkata Sai Swaroop Reddy's groundbreaking IEEE research ...

Datadog is a compelling growth stock with AI-driven profitability, strong margins, and a long runway to $8B sales by 2030.

Individual EUV photons have a lot of energy, but there aren’t very many of them. Feature roughness depends on the interaction ...