A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Abstract: Developments of computational platforms and metaheuristic algorithms increase the efficiency of various critical devices, including uncrewed aerial vehicles (UAVs), employed for monitoring, ...

Forget quantum — neuromorphic AI could be the real disruptor, reshaping everything from medicine to warfare while cutting ...

bDepartment of Physical Medicine & Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX, USA cDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, ...

Building an integrated "source-grid-load-storage" system (hereinafter referred to as the integrated system) in areas rich in ...

This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP". Fig 1. The 3-step workflow of the UniCO ...

This Unity asset provides an end-to-end, Human-in-the-Loop (HITL) Multi-Objective Bayesian Optimization (MOBO) workflow built on botorch.org. It lets you declare design parameters and objectives in ...

Abstract: This article addresses the distributed prescribed-time convex optimization (DPTCO) problem for high-order nonlinear multiagent systems (MASs) under undirected connected graphs. A cascade ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...