Behind nature's blueprints: Physicists create 'theoretical rulebook' of self-assembly

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...
IEEE

Asynchronous Distributed Nonsmooth Composite Optimization via Computation-Efficient Primal-Dual Proximal Algorithms

Abstract: This paper focuses on a distributed nonsmooth composite optimization problem over a multiagent networked system, in which each agent is equipped with a local Lipschitz-differentiable ...
IEEE

XGB-2D CNN-Based Dissolved Oxygen Inversion for Coastal Water

Abstract: Dissolved Oxygen (DO) is an important water quality indicator, reflecting aquatic ecological health and influencing biological and biogeochemical cycles. Remote sensing of DO is exigent yet ...
Frontiers

Machine learning-based model for predicting metabolic dysfunction-associated steatotic liver disease using non-invasive parameters in young adults

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly being diagnosed in young adults and is associated with long-term hepatic complications. Early detection ...
Microsoft

How we build robust-by-design algorithms

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...