Erratum notice (v1.6). This version repairs five defects in the v1.5 record. It is a build, labelling and open-problem erratum: no theorem, proposition, conjecture, or numerical value of v1.5 is altered by it. Concept DOI is preserved (10.5281/zenodo.19941678); v1.5 (10.5281/zenodo.22717792) is superseded. (1) Wrong bu...
papanokechi papanokechi· Zenodo (CERN European Organi...· 0 citations
Overview This dataset provides a geospatially enriched version of the EVRPTW benchmark instances of Schneider et al. (2014). It is intended for evaluating routing algorithms for electric vehicles when route optimization and physically based energy consumption must be studied together. Every node of every instance (depo...
Iyed GUIZENI, Mariem Belhor· Zenodo (CERN European Organi...· 0 citations
We present a systematic experimental study of what an observer with a restricted read channel can learn about a deterministic source whose full state is inaccessible to him. The source is a 12-node icosahedral cluster evolving under a discrete second-order update rule; the observer reads a subset of nodes through a fix...
Fedor Kapitanov· Zenodo (CERN European Organi...· 0 citations
Modern deep learning accelerators (GPUs, TPUs) are fundamentally constrained by the von Neumann memory wall: over 90% of total inference energy and latency is consumed by shuttling high-precision matrix weights across off-chip memory hierarchies (HBM3e, GDDR6) rather than executing arithmetic operations. Furthermore, a...
Christian Duguay, Alix· Zenodo (CERN European Organi...· 0 citations
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We record a vanishing phenomenon for exact (non-Monte-Carlo) Weingarten calculus computations on SO(m), encountered while searching for non-local closing constructions for the residual 3⁻³⁴ discrepancy in reconstructing Nissim's SO(3) deconfinement tube. Call a plaquette a 4-cycle of directed edges, and say it is doubl...
Martín Baca· Zenodo (CERN European Organi...· 0 citations
A comprehensive conceptual engineering design specification for a next-generation foiling vessel architecture. The Gen-X system transitions marine transport from rigid mechanical structures to an integrated biomimetic platform. By unifying an indestructible, optically linked carbon nanotube (CNT) triple-core computing...
David Michael Seagal· Zenodo (CERN European Organi...· 0 citations
A deep learning-based LED detection scheme for a mobility-aware MIMO-OFDM system is proposed, which enables long-range MIMO-OFDM communication over distances of up to 22 m while maintaining a low error rate at a receiver speed of 3 m/s.
ABSTRACT Underground surveying and mineral exploration increasingly rely on high‐resolution panoramic imaging for digital‐twin construction and remote operation. Yet transmitting massive visual data from remote mining sites is constrained by limited terrestrial infrastructure, high latency, and strict privacy requireme...
Rui Zhang, Changjun Song, Jiahao Liu et al.· Transactions on Emerging Tel...· 0 citations
Overview This dataset provides a geospatially enriched version of the EVRPTW benchmark instances of Schneider et al. (2014). It is intended for evaluating routing algorithms for electric vehicles when route optimization and physically based energy consumption must be studied together. Every node of every instance (depo...
Iyed GUIZENI, Mariem Belhor· Zenodo (CERN European Organi...· 0 citations
This review systematically compares CNNs, RNNs/LSTMs, Transformers, GNNs, GANs, and hybrid architectures, as well as transfer learning, self-supervised learning, contrastive learning, few-shot learning, lightweight networks, edge computing, and multimodal fusion.
Wei-Hao Wang, Zhi-Dan Jiang, Si-Si Yang et al.· Foods· 0 citations
The millet supply chain is riddled with extreme issues in maintaining transparency, traceability, and efficiency at various stages of its functionality, right from farm production to consumer distribution. To address these issues, this paper proposes an integrated Blockchain–Cloud–Edge–IoT system for a Millet Supply Ch...
This chapter surveys quantum computing and its integration with cloud infrastructures for decision support. It introduces the algorithmic core (Shor, Grover, variational circuits, and quantum linear-algebra routines), then situates current devices in the Noisy Intermediate-Scale Quantum (NISQ) regime – sources of noise...
Jovan Ivković, Jelena Lužija Ivković· AI and Human Expertise for S...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
