This paper presents the architectural blueprint of the OMEGA INFINITY KAORU processor, a computing substrate that solves the Boolean circuit satisfiability problem (Circuit-SAT)---the canonical NP-complete problem---in practical constant time, in strictly literal $O(\log n)$ time, and in $O(n)$ space. The architecture...
Kaoru Aguilera Katayama· Zenodo (CERN European Organi...· 0 citations
This paper introduces a novel approach to computation security leveraging the principles of spectral theory. Traditional computational security relies heavily on cryptographic methods, which are increasingly vulnerable to advancements in computing power and algorithmic attacks. We propose a framework that abstracts com...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
A systematic review of digital technologies for sustainable and secure infrastructure, with particular emphasis on connected vehicles, privacy-preserving technologies, and intelligent construction, identifies opportunities for integrating artificial intelligence, edge computing, digital twins, privacy-preserving analyt...
M. Jena, Om Krishna Jena· International Journal of Cre...· 0 citations
Abstract The integration of Internet of Things (IoT) and Digital Twin (DT) technologies provides a transformative paradigm for intelligent monitoring and predictive maintenance in industrial environments. Traditional environmental control systems rely on reactive architectures, leading to potential equipment failure be...
Hayatullah Abdulwahab· Zenodo (CERN European Organi...· 0 citations
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Multi-tenant Software-as-a-Service (SaaS) platforms rely on webhook change notifications from cloud APIs such as Microsoft Graph to synchronize calendar and resource-booking data in near-real time. Empirical analysis reveals a structural failure in this model, which we term webhook event amplification: a single state m...
Aayush Pandey· Zenodo (CERN European Organi...· 0 citations
We introduce the Cognitive Integrity Score (CIS), an operational, real-time topological health diagnostic for deterministic simplicial associative memory networks. In parallel with significant advances in uncertainty quantification, semantic entropy, process-supervised verification, and metacognitive reinforcement lear...
Casey Lee Race, Inc. Calera Computing· Zenodo (CERN European Organi...· 0 citations
This paper proposes a novel approach to computing, termed Dynamic Semantic Network Neuro-Morphic Computing, which leverages the principles of biological neural networks to achieve parallel, adaptive learning, and reasoning for complex data structures. The core idea is to mimic the dynamic connectivity and synaptic plas...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
The computing continuum extends computation beyond centralized cloud data centers to edge resources, supporting applications with stringent Quality-of-Service (QoS) requirements. However, the heterogeneity and dynamic nature of edge environments make orchestration challenging, particularly when decisions rely on static...
Fernando Rego, José Eduardo Ferreira da Costa, Carlos Resende et al.· Zenodo (CERN European Organi...· 0 citations
ABSTRACT Multi‐valued logic (MVL) offers a promising approach to overcoming the intrinsic limitations of binary computing by enhancing data density at the device level. However, achieving stable and well‐defined multi‐level logic states within a single semiconductor channel layer remains a significant challenge. In thi...
Dong Hyun Park, Min Su Kim, Jae Hyun Han et al.· Advanced Functional Material...· 0 citations
This paper presents a novel algorithm for dynamic topology optimization, leveraging the unique properties of quantum computing to dynamically adjust network parameters. The core mechanism utilizes quantum entanglement and superposition to efficiently compute and optimize the topology of a network, leading to improved p...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Spin-torque diodes based on magnetic tunnel junctions have emerged as a promising paradigm for microwave detection and neuromorphic computing due to their intrinsic nonlinear electrical characteristics. Traditional artificial intelligence image processing technology based on the von Neumann architecture faces the bottl...
Yazhong Si, Fuqian Ge, Like Zhang et al.· Applied Physics Letters· 0 citations
Code, analysis and manuscript for a study of two failure modes of sub-millisecond streaming latency benchmarking, both governed by one ratio: the instrument's timescale over the interval being measured. Mode A (negative spans): a latency assembled from two stamps written by two threads can come out negative. The acknow...
Gustavo Pedro Ricou, David Gregg· 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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