With the explosive growth of artificial intelligence generated content (AIGC) applications, deploying lightweight tiny neural networks (TNNs) at the edge to mitigate the high latency and cost of large cloud models has become an important trend in mobile computing. However, resource heterogeneity in edge environments, t...
Qianyu Cao, Chan Xu, Li Zhang et al.· Symmetry· 0 citations
With the continuous development of artificial intelligence (AI) technology, smart home systems have gradually evolved from traditional automated control modes toward intelligent systems with environmental perception, autonomous decision-making, and proactive service capabilities. However, existing smart homes still fac...
Ruikang Dong· Applied and Computational En...· 0 citations
The deployment of artificial intelligence models on edge computing platforms is imperative for applications necessitating real-time perception, including object detection and gesture recognition.This paper presents a thoroughgoing benchmarking study of 2D and 3D convolutional neural network models across a range of rep...
SHAHLA URALOVA, Amil Babayev, Qurban YUSUFOV et al.· JOURNAL OF BAKU ENGINEERING...· 0 citations
Decentralized networks—spanning Internet-of-Things deployments, edge computing platforms and peer-to-peer
systems—offer improved scalability, resilience and the elimination of single points of failure. At the same time, their
distributed structure makes continuous monitoring and timely intrusion response substantially...
I. Achi, F. O. Ogbunude· International Journal of Mod...· 0 citations
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Abstract HEAIN-CORE-1.1 [5][6] showed that the seven core procedures of the HEAIN Core Protocol run correctly on real hardware, and HEAIN-CORE-1.2 [9] made promotion climb several levels. Five limitations still kept the system from being ready for real outages: role return was manual and last-in, first-out; a "network...
JAKKRIT BOONMA· Zenodo (CERN European Organi...· 0 citations
Bird occurrence records (Aves, GBIF taxonKey 212) used in Course Project 9 to compute effort-corrected species richness for 884 one-degree grid cells covering South and Southeast Asia (5-31°N, 68-102°E). The records were obtained through the GBIF occurrence search API with a species facet, not as a download. Filters: h...
devansh· Global Biodiversity Informat...· 0 citations
A training step is usually a number that goes down on a plot. We make it a theorem. We exhibit a finite rational Kolmogorov–Arnold network whose evaluation, squared-error loss, and least-squares gradient are each a composition of a single primitive — the binary integer-arithmetic active pair, the smallest local rewrite...
The Institute for Applied Ontological Mathematics· Zenodo (CERN European Organi...· 0 citations
With the rapid development of library informatization, traditional text information retrieval service methods have been unable to meet the needs of users. Therefore, personalized assisted reading technology has attracted wider attention, as it can discover hidden associations by mining user information, book informatio...
Prof. Suyog Medhe Vaishnavi Suresh Deshmane, Dr. H. B. Jadhav· International Journal of Adv...· 0 citations
This article examines the theoretical foundations, architectural features, and integration possibilities of Edge Computing and Cloud Computing technologies. While Cloud Computing is focused on providing computing resources through a centralized infrastructure, Edge Computing is based on processing data in a computing e...
Shevchenko M.· Zenodo (CERN European Organi...· 0 citations
Entity Resolution (ER) seeks to identify and merge, within one or more datasets, whichever records ultimately correspond to the same real-world entity. As one of the tasks most consequential for data quality and for the reliability of downstream analysis, ER becomes markedly harder under Big Data conditions, given the...
Mohammad SH Daoud, Hussain Al-Aqrabi, Yousef Q. Saadeh et al.· International Journal of Adv...· 0 citations
With the widespread application of trajectory data in areas such as traffic management and route planning, efficiently computing trajectory similarity for fast retrieval has become a critical challenge. Existing methods for trajectory similarity measurement often face issues of low computational efficiency and poor sca...
Shao-Xuan Gu, Hui Zhang, Lei Li et al.· ACM Transactions on Knowledg...· 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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