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2,572 papers
This paper investigates the challenges and proposes a novel approach to distributed edge computing resource scheduling and optimization. The core claim is to design an efficient algorithm that dynamically allocates resources based on task requirements and edge computing node capabilities, ultimately enhancing computati...
When the exact test is least exact, and the χ² default most wrong: achieved size, borrowed power, and a routing rule for R×C tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell, Lowell, MA, USA. ORCID 0009-0004-0855-7222. License: MIT for all code; CC BY...
🔗 This paper is accompanied by open-source software and a fully reproducible pipeline. Code and data-generation scripts are available at:https://github.com/ChristosTsirkas/corpus-validation-for-undeciphered-scripts-linear-aLicense: https://github.com/ChristosTsirkas/corpus-validation-for-undeciphered-scripts-linear-a/...
This paper presents an ADL recommendation system based on a Vision Language Model (VLM), which runs locally, describes the objects in the scene, and recommends different ADLs based on the objects in the scene and the capabilities of the robotic system.
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A geometrically informed conditional Generative Adversarial Network (cGAN) is implemented through the Pix2Pix framework, to predict layer-wise geometric deviations in LPBF-printed parts with overhang geometries, using paired two-dimensional Computer-Aided Design (2D CAD) slices and corresponding X-ray Computed Tomograp...
Experiments demonstrate that CAFDIM effectively suppresses sparse-view artifacts, preserves anatomical structures, and achieves superior reconstruction accuracy, visual quality, and generalization ability compared with state-of-the-art methods.
sys is presented, a content-aware hierarchical scheduler that screens constellation-wide options to retain a bounded candidate set, then refines each candidate into a complete token compression and layer offloading trajectory using quality prediction and joint planning and balances per-task latency, energy, and quality...
CHARTER — Certification and History Architecture for Robust Transport, Evidence, and Retention — studies exact Eisenstein norm shells and the extra structure required to orient, compare, certify, carry, and intentionally release them without confusing mathematical equality with evidentiary or physical equivalence. The...
This paper investigates the application of quantum walks to network security analysis, specifically focusing on graph traversal algorithms for anomaly detection and vulnerability assessment. Traditional graph traversal methods often struggle with the complexity of large and dynamic network topologies. Quantum walks, le...
Artificial intelligence is dismantling the long‑standing computational bottlenecks of Earth system modeling. Traditional numerical weather prediction (NWP)—rooted in Navier‑Stokes discretization and dependent on exascale supercomputers—faces scaling limits that make sub‑kilometer global resolution prohibitively expensi...
This record freezes the analytical architecture for CP-H1-SRC-XSC-001, the next load-bearing source-sector programme of the theory-neutral 6D-to-3D Cut-and-Project / Incidence-Spectral research programme. CP-H1-SRC-XSC-001 follows the completed CP-H1-CONT-BRIDGE-001 common-space comparison programme. The authoritative...
This paper proposes a novel cryptographic key exchange protocol leveraging concepts inspired by quantum mechanics, specifically superposition and probabilistic exploration, through a graph-based routing mechanism. Traditional key exchange protocols often rely on computationally intensive mathematical problems, making t...
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work and cyber defense, rolling out soon.
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