Harnesses and raw results for the experiments added in the J.UCS revision of the paper Deploying LLM Inference on a Repurposed UMA APU: Transferable Lessons from a Vulkan-Only, 16 GB Edge Platform. Contents: benchmarks/bench-a*.py, benchmarks/diag-*.py, benchmarks/heads.py: measurement harnesses (KV-cache width versus...
Artur Andrzejczak· Zenodo (CERN European Organi...· 0 citations
Intensive Care Units (ICUs) manage critically ill patients through continuous monitoring and life-sustaining interventions. Traditional monitoring systems, while essential, often suffer from data silos, alarm fatigue, and limited integration, hindering timely clinical decisions. In the recent past, the development of a...
Paul Olujide Adebayo, Adesina Ayodele Joshua, Usman-Hamza Fatimah Enehezei et al.· Smart Hospital Technologies· 0 citations
This research note gives three sharp refinements to Appendix C, “Realizing the admissible stress cone,” of OpenAI’s 2026 preprint Finite Time Blowup for Navier–Stokes. First, the implicit scalar variance-selection step in Lemma C.1 is replaced by an algebraic Poisson-kernel parameterization. The associated upper admiss...
John Rhodes· Zenodo (CERN European Organi...· 0 citations
Bug-fix release. No options were added or removed. The thirty fixes below came out of a coverage push that took the test suite from 311 to 718 tests and line coverage from 68 to 95 percent, and out of the bug reports filed along the way. Several fixes change reported numbers: a multi-allelic codon now counts each of it...
Andrew Kern, kevinkorfmann, 김은찬· Zenodo (CERN European Organi...· 0 citations
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The rapidly increasing data and digitization cause several challenges in the healthcare industry, with the increasing demand for high data, such as electronic health records (EHRs)-related data, medical imaging data, patient monitoring systems, and big data technology. So by updating, customizing treatments and streaml...
Hemant Kumar Saini, Aditya Dev Mishra· 0 citations
MATLAB implementation, instance files, saved results and figure scriptsreproducing every figure in the manuscript "Joint Communication,Computation, and Trajectory Optimization for UAV-Enabled Mobile EdgeComputing in Smart City IoT Networks" (Scientific Report under review, 2026). The package implements FAMIO, a feasibi...
Fahad F. Alruwaili, Hadeel Alsolai, Mohammed Aljaafari et al.· Zenodo (CERN European Organi...· 0 citations
This research note gives three sharp refinements to Appendix C, “Realizing the admissible stress cone,” of OpenAI’s 2026 preprint Finite Time Blowup for Navier–Stokes. First, the implicit scalar variance-selection step in Lemma C.1 is replaced by an algebraic Poisson-kernel parameterization. The associated upper admiss...
John Rhodes· Zenodo (CERN European Organi...· 0 citations
Reservoir computing is attractive for edge intelligence because it not only reduces training overhead but also turns transient material physics into computation. In in-materio systems, memory, nonlinearity, separability, and efficiency are not added later at the circuit level; they emerge from defect kinetics, ionic mo...
K. R. Singh, Alif Syafiq Kamarol Zaman, Mu-Zhen Xu et al.· Advances in Materials· 0 citations
This work developed a custom edge-node reverse-vending-machine data-collection station equipped with multimodal sensors to co-record RGB-D video streams and impact audio on a single local compute node within the same acquisition window to support research on multimodal waste recognition, sensor fusion, and resource-eff...
Evangelos Kalaitzis, Emmanouil Tsardoulias, A. Symeonidis· International Conference on...· 0 citations
This chapter is an analytical report of the way in which data are generated, collected, processed, and used in the consumer device ecosystem. It starts with classifying the different types of devices, which produce varying streams of data, through the use of smartphones, wearables, and smart home systems, among others....
S. B. Donaev, A. V. Alizadeh, M. Singh et al.· Engineering Thermodynamics a...· 0 citations
MATLAB implementation, instance files, saved results and figure scriptsreproducing every figure in the manuscript "Joint Communication,Computation, and Trajectory Optimization for UAV-Enabled Mobile EdgeComputing in Smart City IoT Networks" (Scientific Report under review, 2026). The package implements FAMIO, a feasibi...
Fahad F. Alruwaili, Hadeel Alsolai, Mohammed Aljaafari et al.· Zenodo (CERN European Organi...· 0 citations
Simulator and reproduction scripts for the paper of the same title. The capsule regenerates every figure and table of the paper and of its supplementary material from the raw output of the simulation campaign, which is downloaded on run. Vehicular Cloud Computing is evaluated on SUMO traces of downtown Rome under three...
Rosario Patané, Nadjib Achir, Andrea Araldo et al.· Code Ocean· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
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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