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2,572 papers
A versatile DS2D system that supports cooperative task offloading and non-cooperative access monitoring, and Transformer-based models to enable blind signal detection and automatic modulation classification (AMC) are proposed.
We show that it is possible to compute the adiabatically protected edge and corner states of semi-infinite, two-dimensional, topological insulators by considering the first layer of lattice sites, what we call the"edge chain,"independently from the bulk. We start by accepting this claim as an ansatz, then, using the Sh...
This work proposes an algorithm that approximates the number of spanning trees in $\widetilde O(m+n^{7/4}\eps^{-3/2})$ time on a graph with $n$ vertices and $m$ edges and is based on the novel concept of $\ell_1$-regularized resistance.
🔗 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/...
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Research data and analysis code accompanying the article Two-input reconstruction of the biaxial first-yield envelope of elliptically perforated auxetic sheets, under review. The deposit contains four things. (1) The periodic-homogenization source code and the 18-node wedge finite-element kernel that produced every eff...
A searchable, cross-referenced Unicode corpus of the official Sixth Buddhist Council (Chaṭṭha Saṅgāyana) recension of the Pāḷi Tipiṭaka with its Aṭṭhakathā (commentaries) and Ṭīkā (subcommentaries) — 118 volumes, 89,512 paragraphs — converted from the legacy VZTimes-font edition published by the Ministry of Religious A...
This Zenodo archive deposits the foundational research white paper series for the **IronClad AI Agent**, a Rust-native autonomous agent orchestration runtime engineered specifically for local Large Language Models (LLMs) executing under strict consumer hardware constraints (8–24 GB VRAM, finite 8K–32K context windows,...
Research data and analysis code accompanying the article Two-input reconstruction of the biaxial first-yield envelope of elliptically perforated auxetic sheets, under review. The deposit contains four things. (1) The periodic-homogenization source code and the 18-node wedge finite-element kernel that produced every eff...
Two structural results on the possibility of a genuinely noncommutative arithmetic thermodynamics. First, a universal no-go, the abelian scaling bottleneck: for a right LCM semigroup with scalar one-parameter dynamics driven by a multiplicative weight N, every KMS state is tracial on the gauge-fixed algebra, the classi...
This paper proposes a novel approach to real-time visual processing leveraging the principles of neuromorphic computing. The core aim is to design and implement a system capable of efficient image recognition and processing with reduced power consumption. The methodology centers on mimicking the biological visual syste...
This paper introduces a novel quantum state computation model based on graph structures, leveraging the inherent properties of quantum states to enable adaptive computation. Traditional quantum computing approaches often struggle with complex quantum states, presenting a significant challenge for efficient computation....
This paper investigates the application of a novel non-Euclidean metric for computing statistical inference in complex networks. Current approaches often treat networks as static, limiting their ability to effectively analyze dynamic patterns and relationships. We propose a geometry-based metric to generate a dynamic r...
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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