We present a systematic experimental study of what an observer with a restricted read channel can learn about a deterministic source whose full state is inaccessible to him. The source is a 12-node icosahedral cluster evolving under a discrete second-order update rule; the observer reads a subset of nodes through a fix...
Fedor Kapitanov· Zenodo (CERN European Organi...· 0 citations
Shadow removal is a fundamental challenge in imaging science due to the difficulty of decoupling illumination variations from surface reflectance at shadow boundaries. This paper introduces a novel mathematical framework that reformulates osmosis-based shadow removal as a Cauchy-type inverse problem. A new variational...
Network security architecture is being reshaped by cloud computing, remote and hybrid access, software-defined infrastructure, microservices, encryption, Internet of Things deployments and increasingly adaptive adversaries. These changes have weakened assumptions that a trusted internal network can be protected princip...
Uzoaru Godson Chetachi, C. Nwasuka Stanley, Nwamuruamu Godswill Uchenna et al.· Asian Basic and Applied Rese...· 0 citations
Calibration descriptor and extraction scripts for the Proof of Trust (PoT) proof-of-concept. Provides per-profile, per-dimension distribution parameters derived from the descriptive statistics of real IoT/IIoT security datasets (MQTTset, N-BaIoT, Edge-IIoTset; TON_IoT as contextual reference). Version 1.8 adds manufact...
Mohamed Faraji· Zenodo (CERN European Organi...· 0 citations
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guv-calcs is an open-source Python scientific computing library for physically based modeling of germicidal ultraviolet (GUV) light in indoor environments, with a focus on far-UVC (200–235 nm) applications. The library provides core numerical tools for representing lamps, spatial geometry, calculation planes and volume...
Vivian Belenky, Holger Claus· Zenodo (CERN European Organi...· 0 citations
This whitepaper proposes a privacy-preserving federated graph intelligence architecture for fraud detection across Kenya’s account-to-account payment ecosystem, using PesaLink as the principal infrastructure context. The research addresses a structural limitation of institution-level fraud detection: fraudulent activit...
Nevil Maloba· Zenodo (CERN European Organi...· 0 citations
This whitepaper proposes a privacy-preserving federated graph intelligence architecture for fraud detection across Kenya’s account-to-account payment ecosystem, using PesaLink as the principal infrastructure context. The research addresses a structural limitation of institution-level fraud detection: fraudulent activit...
Nevil Maloba· Zenodo (CERN European Organi...· 0 citations
The Smart Cart is an AI-and IoT-based intelligent shopping system designed to transform the conventional retail shopping experience by enabling automated billing, real-time inventory monitoring, and personalized customer assistance.Traditional shopping carts and manual checkout processes often result in long queues, in...
Vaibhav Shinde, Pranav Tekale, Geetanjali Dhore et al.· International Journal of Inn...· 0 citations
RTMDet-AS is presented, a robust instance segmentation network tailored to address the challenges of cluttered backgrounds, dense fruit clusters, and the strict efficiencyaccuracy trade-off required for edge computing in unstructured greenhouses with a 96.7 FPS inference rate and fewer computational efforts.
Xuan-Bin Xu, Shi-Qi Zou, Jia-Shuo Liang et al.· International Conference on...· 0 citations
The failure modes of artificial intelligence systems deployed at the edge are not, at their root, failures of model quality, training data adequacy, or algorithmic design. They are failures of architectural composition: the failure to design for the constraints that edge environments impose as boundary conditions rathe...
Justin H. Kuiper· Zenodo (CERN European Organi...· 0 citations
In conventional neuroscience, the visual organ—the eyeball—has been treated as a “passive sensor that converts external photon information into electrical signals at the retina and transmits them to the cerebral visual cortex.” However, within the framework of the in vivo quantum processing unit (Bio-QPU) theory, the c...
kotoan.gg· Zenodo (CERN European Organi...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026