Airfield ground lighting is safety-critical electrical infrastructure and requires reliable inspection. We benchmarked lamp detection, colour assignment and embedded execution using 59 GoPro HERO 8 recordings acquired through scientific cooperation with Poznań-awica Airport. The dataset contains 3612 frames and 18,141...
Jakub Suder, Jakub Tadeusz Jóźwiak· Applied Sciences· 0 citations
Retrospective registration. This protocol is registered after the review was completed: the literature search was last run on 31 March 2026, and screening, data extraction and synthesis had been finished before this registration was submitted. It records the review question, eligibility criteria, sources, search strate...
Luis Guerrero Osorio, Sergio D. Monroy, Manuel G. Forero· Open Science Framework· 0 citations
AquaSense-ICS: a hybrid real-simulated cyber-physical dataset and leakage-aware benchmark for smart water quality monitoring and attack detection Machine-learning research on water cyber-physical systems is constrained by datasets that are either real but chemically poor, or simulated but free of sensing noise and atta...
Amal Neji, Mohamed Fourati, Lamia Chaari Fourati· Zenodo (CERN European Organi...· 0 citations
The Internet of Things (IoT) connects physical objects through sensors, embedded processors, and communication interfaces. These devices can collect and share data, helping systems respond automatically to changing conditions. This review offers a structured overview of IoT’s development, enabling technologies, practic...
Prof. N. M. Kolhe Sonwane Vishakha, Dr. H. B. Jadhav Prof. D. S. Kshirsagar· International Journal of Adv...· 0 citations
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The El-Rakhawi Framework for Neuro-Physical Cognitive Dynamics (NPCD) addresses catastrophic forgetting and thermodynamic inefficiency in AI by modeling cognitive states as dynamic attractor basins within Riemannian manifolds, governed by non-equilibrium thermodynamics and the Free Energy Principle. Unlike traditional...
mohamed kamal arafa el-rakhawi· Zenodo (CERN European Organi...· 0 citations
The convergence of embedded systems and the Internet of Things (IoT) has accelerated the development of tiny machine learning (TinyML) real-time intelligence, which is delivered on ultra-low-power devices. Thus, this chapter examines the architecture, design methodologies, and emerging roles of embedded systems within...
Tiny Machine Learning (TinyML) integrates machine learning functionality with low-power, resource-limited devices, such as microcontrollers and edge devices, to enable smart Internet of Things and edge use cases. As the Internet of Things and edge computing surge, TinyML unlocks opportunities in smart wearables, indust...
Srinivas Talasila, Vijaya Kumar Gurrala, Ch. V. S. Satyamurthy et al.· 0 citations
This chapter reviews the evolutionary path and future perspectives of software frameworks for tiny machine learning (TinyML), which enable the computation of innovative machine learning (ML) models on smaller, commodity devices. The chapter provides an introductory, concise overview of TinyML, its role in the Internet...
We compute the coefficient-map Jacobian determinant of every bidirected-tree linear compartmental model whose sole input, output and leak are at one root. The determinant is a product of explicit edge powers and squared resultants of characteristic polynomials of sibling branches. For a descendant subtree of size s, th...
Alper Ferudun· Zenodo (CERN European Organi...· 0 citations
This study introduces a novel through-fin salt-hydrate phase-change material (PCM) heat sink for passive thermal management of the Raspberry Pi 5. Unlike conventional heat sinks, the proposed architecture integrates latent thermal energy storage with natural convection and radiation, enabling efficient heat absorption...
Selman Djeffal, Zine Ghemari, Mohamed Razi Morakchi et al.· Zenodo (CERN European Organi...· 0 citations
Abstract As the digital landscape evolves, the demand for high-performance, low-latency computing has surged, pushing traditional cloud computing to its limits. This has led to the conceptualization of the edge-cloud continuum, which integrates and leverages the strengths of the cloud, fog, and end-devices layers. Howe...
Vid Bregar, Matjaž Branko Jurič· Cluster Computing· 0 citations
As the explosive growth of visual data increasingly strains the latency and energy limits of conventional electronic computing, optical analog computing has re-emerged as a disruptive paradigm for zero-power, speed-of-light information processing. Propelled by the unprecedented wave-manipulation capabilities of optical...
Tingting Liu, Jumin Qiu, Xintong Shi et al.· Physical Review Applied· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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.
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