Physical reservoir computing (PRC) has emerged as a low-cost machine-learning framework for edge computing applications, where real-time processing and energy efficiency are critical due to the rapid growth of data generated by Internet-of-Things devices. This study proposes a PRC scheme based on nonlinear heat-conduct...
Project Title: CyberTraining: Implementation: Small: Modeling Quantum Dynamics of Excited States in Materials in the Era of Machine LearningPI: Alexey AkimovAward number: NSF-OAC-2519325AbstractThis project addresses a critical national need for enhanced training in computational methods that support the rational desig...
Code and analysis outputs supporting the manuscript. Every quantity reported in the paper is drawn from the JSON files in analysis/, each produced by a script in scripts/. The study uses three kinds of data: the complete on-chain USDT histories of the 490 addresses named in Israeli counter-terrorism seizure orders and...
The results suggest a network-specific alteration in structure–function alignment that warrants further study and suggest a network-specific alteration in structure–function alignment that warrants further study.
Humberto Monsivais, Nicola Sambuco, Francesco Versace et al.· Network Neuroscience· 0 citations
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Results position Fast TDA as a scalable geometry-guided surrogate for real-time feature extraction when VR-based persistence is computationally prohibitive, and noise-resilient topology-informed descriptors are desired.
Daniel A. Salazar Martinez, Arman Razmarashooli, Kang-Chua Yang et al.· Measurement science and tech...· 0 citations
Power Dominating Set Enumeration This repository contains the code and computational experiments accompanying the paper "Implicit Hitting Set Enumerating for Power Dominating Sets". A permanent record of the repository can be found at Zenodo. Background A power dominating set of a graph is a vertex set that marks the e...
Max Göttlicher, Thomas Bläsius, Martin Schirneck· Zenodo (CERN European Organi...· 0 citations
ABSTRACTModern high-performance computing (HPC) and artificial intelligence infrastructures are fundamentally bottlenecked by cloud dependency, incurring immense computational costs and violating data privacy in mission-critical sectors. This paper introduces the Odysseus Engine, a decentralized cognitive edge operatin...
Sev Emre· Zenodo (CERN European Organi...· 0 citations
LIAM-DIoT is proposed, an edge-computing method for lightweight identity verification and automated risk-aware access control that provides a practical trust boundary for camera and light detection and ranging (LiDAR) event streams, fiber-connected gateways, and closed-loop distribution automation.
Xiao-He Yue, Sen Gao, Guang-Yue Liu· International Conference on...· 0 citations
A comet trails its tail away from the Sun. This paper asks whether that tail is one thing──the answer is that there are two, and the forces pulling them are different. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed──the rati...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
We develop a graph path-sum framework for constructing determining equations for the Anderson localization-length exponent from a critical Green-function sector. The path sum is an all-depth representation; finite depth enters only as an explicit computational truncation. The critical Green function generates contact-i...
Yoshiki Ueoka· Zenodo (CERN European Organi...· 0 citations
The quick convergence between IoT and blockchain technologies has opened possibilities for revolutionizing the global finance system across borders, but the issues concerning energy usage, Scalability, Security, and Costs have become major obstacles in their deployment on a massive scale. In this research, we propose a...
We develop a graph path-sum framework for constructing determining equations for the Anderson localization-length exponent from a critical Green-function sector. The path sum is an all-depth representation; finite depth enters only as an explicit computational truncation. The critical Green function generates contact-i...
Yoshiki Ueoka· Zenodo (CERN European Organi...· 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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