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
This paper proposes a novel approach to computing leveraging dynamic topology neural-spike networks. The core idea centers on mimicking the self-adaptive topology structures found in biological neural networks to achieve higher efficiency and robustness in complex computational tasks. We introduce a programmable hardwa...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
CeO₂ is key in catalysis, fuel cells, chemical mechanical planarization, and oxygen storage due to its Ce⁴⁺ / Ce³⁺ redox couple and oxygen mobility. At the nanoscale, properties become morphology-dependent, yet the link between morphology and mechanical behavior‒particularly elastic properties and defect structure‒rema...
Balter Trujillo-Navarrete, F. Paraguay‐Delgado, Rosa María Félix-Navarro et al.· National repository of resea...· 0 citations
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This paper investigates the application of neuromorphic computing to address the limitations of traditional von Neumann architectures in real-time image processing. The core argument presented is that the inherent bottleneck of separating memory and processing units in conventional computers significantly hinders the p...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
pyunwrap unwraps InSAR phase using a physics-informed U-Net that predicts the integer ambiguity map rather than the unwrapped phase itself. The core identity unwrapped = wrapped + 2π·k : is enforced by construction, so the model is structurally incapable of contradicting the observed wrapped phase. This is the first ta...
Samuel Appiah Kubi· Zenodo (CERN European Organi...· 0 citations
This paper investigates the potential of neuromorphic computing for event-driven data processing. Traditional computing architectures often struggle with the inherent inefficiencies of handling continuous data streams, leading to significant energy consumption. The core claim presented here is that mimicking the brain'...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This article proposes a systematic improvement path for the security governance capability of distribution networks driven by intelligent technology. Realize global state awareness through IoT sensors and edge computing; Based on AI algorithms for fault diagnosis and situation deduction, combined with digital twin plat...
"This dataset contains the application-layer measurement data underlying the comparative validation study \"XL-I2P: Cross-Layer I2P Darkweb Mapper.\" It comprises two eepsite crawl runs conducted sequentially on a single fully integrated I2P vantage node under identical infrastructure conditions: a run of the proposed...
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
Walk-LCP computes least-cost walking paths and travel times across a digital elevation model using Dijkstra's algorithm with edge costs derived from Tobler's hiking function. It also tests pairwise viewshed overlap and combined visible area against a matched null model of random point pairs drawn from the same terrain...
Abstract—This paper presents a reformulated, device-agnostic architectural framework for two interrelated applications: (i) personalized audio-based personal safety threat detection, and (ii) respiratory pattern anomaly detection for early-stage epidemiological screening. Originating from an ideation dialogue, the prop...
Atul Seth· 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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