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3,051 papers
This paper proposes a novel approach to computing leveraging dynamic topology neural-spike networks. The core idea centers on mimicking the self-adaptive topology structures found in biological neural networks to achieve higher efficiency and robustness in complex computational tasks. We introduce a programmable hardwa...
CeO₂ is key in catalysis, fuel cells, chemical mechanical planarization, and oxygen storage due to its Ce⁴⁺ / Ce³⁺ redox couple and oxygen mobility. At the nanoscale, properties become morphology-dependent, yet the link between morphology and mechanical behavior‒particularly elastic properties and defect structure‒rema...
This paper investigates the application of neuromorphic computing to address the limitations of traditional von Neumann architectures in real-time image processing. The core argument presented is that the inherent bottleneck of separating memory and processing units in conventional computers significantly hinders the p...
pyunwrap unwraps InSAR phase using a physics-informed U-Net that predicts the integer ambiguity map rather than the unwrapped phase itself. The core identity unwrapped = wrapped + 2π·k : is enforced by construction, so the model is structurally incapable of contradicting the observed wrapped phase. This is the first ta...
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This paper investigates the potential of neuromorphic computing for event-driven data processing. Traditional computing architectures often struggle with the inherent inefficiencies of handling continuous data streams, leading to significant energy consumption. The core claim presented here is that mimicking the brain'...
This article proposes a systematic improvement path for the security governance capability of distribution networks driven by intelligent technology. Realize global state awareness through IoT sensors and edge computing; Based on AI algorithms for fault diagnosis and situation deduction, combined with digital twin plat...
"This dataset contains the application-layer measurement data underlying the comparative validation study \"XL-I2P: Cross-Layer I2P Darkweb Mapper.\" It comprises two eepsite crawl runs conducted sequentially on a single fully integrated I2P vantage node under identical infrastructure conditions: a run of the proposed...
This paper presents a novel algorithm for dynamic topology optimization, leveraging the unique properties of quantum computing to dynamically adjust network parameters. The core mechanism utilizes quantum entanglement and superposition to efficiently compute and optimize the topology of a network, leading to improved p...
Walk-LCP computes least-cost walking paths and travel times across a digital elevation model using Dijkstra's algorithm with edge costs derived from Tobler's hiking function. It also tests pairwise viewshed overlap and combined visible area against a matched null model of random point pairs drawn from the same terrain...
Abstract—This paper presents a reformulated, device-agnostic architectural framework for two interrelated applications: (i) personalized audio-based personal safety threat detection, and (ii) respiratory pattern anomaly detection for early-stage epidemiological screening. Originating from an ideation dialogue, the prop...
Abstract—This paper presents a reformulated, device-agnostic architectural framework for two interrelated applications: (i) personalized audio-based personal safety threat detection, and (ii) respiratory pattern anomaly detection for early-stage epidemiological screening. Originating from an ideation dialogue, the prop...
A guaranteed-level repair for Welch's two-sample t, which silently over-rejects under skew, heteroscedasticity, and small samples William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest version)...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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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.
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