Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.
Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...
Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...
Abstract: The successful execution of path planning algorithms can be substantially impacted by the selection of appropriate planner’s parameters. Identifying the optimal parameters suitable for a ...
Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...
Don't be fooled by a graph. New research shows that a scientist's policy preferences can influence their results. Look past the model and find the ground truth.
Welcome to the artifact repository of OSDI'25 accepted paper: Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD! This repository contains the ...
Abstract: Aiming at the challenges of Vision Transformer (ViT) model in terms of computational cost, an adaptive pruning strategy for tokens based on Closeness-Centrality is innovatively proposed. The ...
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