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2,851 papers
In the framework of edge-weighted graphs, watersheds have proven to be linked to well-known optimization problems, as Minimum Spanning Tree, which allowed the design of efficient algorithms for computing (hierarchical) watershed segmentations. In the present article, after reviewing the literature related to watershed...
Enabled by chronic disease management, aging trends, and digital health, medical monitoring is evolving from intermittent testing to continuous personalized monitoring. In this context, embedded medical devices integrate physiological data acquisition with edge computing technologies. This review examines the developme...
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Multi-access edge computing (MEC) enhances the performance of resource-constrained devices by offloading computation to nearby edge servers, but simultaneously achieving energy efficiency and low latency under dynamic conditions remains challenging. This paper proposes Lyapunov Optimization with Virtual Queues (LOVQ),...
Satellite interferometric synthetic aperture radar (InSAR) is a powerful geodetic technique that uses the differences in phase between repeat SAR acquisitions to remotely detect subtle (cm-scale) surface deformation over large (10s to 100s of km) footprints. Over Antarctica, 6-day repeat InSAR from Sentinel-1 provides...
We compute the persistent homology in degrees zero and one of a complete virus capsid, taken directly from its cryo-electron microscopy density map with no subsampling. The input is the deposited map EMD-50844 of the empty capsid of rhinovirus A89, a 1000^3 grid at 0.413 Å per voxel, from which every voxel above a fixe...
Edge AI refers to the deployment and execution of artificial intelligence (AI) algorithms on decentralized, local computing devices (e.g., Internet of Things) rather than relying on centralized cloud‐based computing infrastructures. The literature has addressed the increasing importance of AI in supply chain and oper...
Infrared images frequently exhibit low contrast, weak target boundaries, nonuniform detector responses, and scene-dependent thermal interference, making reliable edge extraction difficult when a fixed detector and thresholding rule are used. This study presents an AI-guided infrared edge-enhancement framework with a re...
Abstract Optoelectronic synapses that integrate light sensing, memory, and preprocessing are highly desirable for neuromorphic vision. However, most reported optoelectronic synapses rely on a single optical stimulus and mainly exhibit passive modulation of the photoresponse, making it difficult to actively distinguish...
Verifying whether learners are actually engaged with online course resources is challenging. Ineffective learning behaviors are common. These include dropping out midway and letting videos play without watching. The "Smart Classroom Manager" is a deep learning system with three layers: perception, analysis and applicat...
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
A Blog post by Liquid AI on Hugging Face
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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