An intelligent decision support system and pervasive edge-computing framework that leverages smart glasses and a companion smartphone to infer emotional states from microscopic visual fixation patterns, establishing a physiologically interpretable, unobtrusive, and deployable paradigm for continuous real-time emotion m...
Xiangyu Shen, Fei-Yang Deng, Zixi Dai et al.· 0 citations
Digital Twin (DT) technology, with Federated Learning (FL), enables decentralised and privacyaware intelligence of large-scale infrastructures of smart cities. Quantum computing compromises the existing cryptography systems that underlie existing FL frameworks. The current paper presents a Quantum-Secure FL (QSec-FL) a...
Wearable edge computing devices require novel hardware for high-efficiency data processing. In this work, we proposed novel textile in-memory computing memristor, exhibiting great potential in image compression applications for the first time. The device shows low operation voltage and reliable switching characteristic...
Xingliang Shan, Wen-Xuan Chong, Xu-Fu Wang et al.· IEEE Electron Device Letters· 0 citations
RACE-AIMC (Risk-Aware Certified Ensemble for AIMC), a framework that resolves the choice to trust a single chip blindly with statistics rather than guesswork and matches the accuracy of a clean digital baseline while cutting modeled energy use.
Osama Yousuf, Martin Lueker-Boden· 0 citations
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With the rapid development of the Internet of Things, computation intensive directed acyclic graph (DAG) tasks have become increasingly common in cloud-edge-end collaborative environments. However, cloud, edge, and end nodes are highly heterogeneous in computing capacity, network bandwidth, and energy consumption, whic...
Yan Qi, Chen-Wei Wang, Zi-Han Shen et al.· 0 citations
This project reports on the ongoing project to develop a computational pipeline, AutoGraphForge, for an automated graph-theoretic conjecturing-refuting-formalizing-proving system, and reports on the conjectures that survived the refutation dataset, the novelty filter and every active-search run.
This manuscript presents the RAPS Dome as a distributed, passive, multimodal sensor-fusion architecture for edge-networked monitoring and Bayesian decision support. The system extends the earlier Sensor Dome concept by combining distributed acoustic sensing (DAS), acoustic and infrasound arrays, encapsulated heterodyne...
Marcel Krüger, Don Feeney, Jacobo Rodríguez· Zenodo (CERN European Organi...· 0 citations
This paper presents a novel quantum computation algorithm based on graph theory, aiming to simplify quantum computations by leveraging graph structure characteristics. Traditional quantum computing often struggles with efficiently utilizing graph structures, leading to complex algorithms. Our approach transforms the co...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This paper explores the application of topological information to quantum computation, focusing on the evolution of quantum states through topological structures. The core claim is to design an algorithm that simulates the topological evolution of quantum states, allowing for predictive analysis of future quantum compu...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This chapter examines three technology families that have drawn attention from supply chain researchers and practitioners: blockchain, augmented and virtual reality (AR/VR), and edge computing. The argument is not simply that each yields operational benefits, but that their significance lies in addressing complementary...
Ashish Gupta, Ergashev Nuriddin Gayratovich, Begimov Uktam et al.· Advances in computational in...· 0 citations
A self-contained browser-based laboratory activity built around a hydrostatic transmission. A prime mover drives a fixed-displacement pump, the pump drives a fixed-displacement hydraulic motor through a hose, and an eddy-current brake absorbs the motor's output. Both machines are carried on trunnions with a torque arm...
A. Bulent Koc· Zenodo (CERN European Organi...· 0 citations
This technical report introduces a cloud-native architecture designed to implement the Cognitive Edge Emergence Model (CEEM). Traditional language model generation relies heavily on generic associations and external valence inferences. In contrast, this architecture establishes an individual-specific, self-reinforcing...
Takahiro Ikeda· Zenodo (CERN European Organi...· 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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