Category
2,978 papers
An Edge-IoT-based smart air quality monitoring system based on the proposed EdgeAQ-Net distributed deep learning architecture that combines edge computing and IoT-based environmental sensors to allow real-time analysis and prediction of air quality to be performed at the network edge.
It is shown that for every fixed number of files, computing a latency-minimizing assignment is NP-hard via a reduction from the domatic number problem.
APEX-RBD is introduced, an automated framework that makes mixed-precision exploration computationally tractable while effectively identifying hardware-efficient configurations and employs a data-efficient, prior-informed surrogate model to enable rapid trajectory error prediction.
A mathematical model based on the edge computing paradigm to minimize network latency in cyber-physical transportation systems is proposed and experimentally evaluated, confirming that the edge-based architecture contributes substantially to more stable and efficient traffic management during morning peak hours.
Reach audiences
Advertise in front of researchers, engineers, and readers.
This work proposes Caption-once, Frames-onDemand (CFD), a budget-aware edge-cloud agentic framework that turns visual access into a first-class, query-conditioned cost, capping per-query frame consumption regardless of video length.
Reliable railway operations depend increasingly on real-time environmental intelligence delivered through wireless sensor infrastructures, a capability that 6G networks will substantially enhance through integrated sensing and edge computing. Adverse weather, particularly in Arctic regions with extreme temperatures and...
For every consistent computably axiomatized extension of ZFC and every sufficiently large fixed $r$, there is a finite family $\mathcal F$ for which the true equality $\pi(\mathcal F)=\tau_r$ is neither provable nor refutable; analogous independence holds for the five structural properties above.
Experimental results demonstrate that EOSQR achieves high computational accuracy with a superior CEM-based accuracy-hardware efficiency trade-off while maintaining visual quality and classification performance, making it well-suited for real-time edge-embedded systems.
It is suggested that multi-parameter acoustic correction coupled with cloud computing holds promise for improving ultrasound safety profiling and imaging precision, however, the current low-to-moderate certainty of evidence necessitates future validation of edge-cloud synergies to realize robust, personalized monitorin...
The results indicate that the GaAs:Cr detector exhibits excellent mono-energetic spectrum response and low material decomposition (MD) noise, and provides lower noise, higher contrast-to-noise ratio (CNR) in VMI results, and more precise concentration measurements in quantitative analysis, compared to existing PCDs.
A blockchain-integrated trust-based authentication and access control framework designed specifically for IoT networks that combines deterministic blockchain validation with probabilistic trust computation, enabling adaptive decision-making while preserving system integrity.
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.
Education Innovation
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.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
