AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Category
2,919 papers
The Cohesion UFT has a property that follows from its construction rather than fromany decision about presentation: it executes. Its constants are derived in closed formfrom a single axiom with no fitted parameters, its causal order is fixed, its vocabularyis finite and every term has a mechanical referent, and the sam...
This release contains the source code used to produce the results reported in "Compact temporal-coding neurons for fast and energy-efficient edge computing". Please refer to the README for installation instructions, dependencies, and commands for reproducing the results. Full Changelog: https://github.com/ttttwwww/FNL-...
HTTP/2 (Hypertext Transfer Protocol Version 2) 4.4.5 Comparative Analysis 4.4.6 Future Outlook of Application Protocols 4.5 Standardization, Interoperability, and Performance Evaluation 4.5.1 Standardization in IoT 4.5.2Interoperability in IoT 4.5.3Performance Evaluation of IoT Systems 4.5.4Challenges and Research Oppo...
Vehicular Ad-hoc Networks (VANETs), utilized as a part of Intelligent Transportation Systems (ITS), are crucial for transmitting the information in real time between the vehicles as well as between the vehicles and the infrastructure, thereby improving safety, traffic management, as well as driving efficiency. Despite...
Reach audiences
Advertise in front of researchers, engineers, and readers.
The Cohesion UFT has a property that follows from its construction rather than fromany decision about presentation: it executes. Its constants are derived in closed formfrom a single axiom with no fitted parameters, its causal order is fixed, its vocabularyis finite and every term has a mechanical referent, and the sam...
Experiment outputs behind every table and figure of Persistence, Not Consensus: Measured Triage of Unsupervised Anomaly Rankings of TESS Light Curves, produced with lctriage 1.1.0 on TESS sectors 1, 2 and 13. Kept apart from the catalogue so that scores computed on synthetically modified light curves cannot be mistaken...
This version corrects two citation errors found by an automated check and confirmed by hand. In the Selection Process, HANDOFF was cited as arXiv:2606.06491 (TempoVLA) and now cites arXiv:2606.06493, and RoboNaldo was cited as arXiv:2606.11091 (QUIET, a network-neuroscience paper) and now cites arXiv:2606.11092. A refe...
Electricity transmission networks are changing from being based on individual assets to becoming systems that can be observed digitally, are driven by data and are becoming more adaptive. This shift is particularly important for Saudi Arabia, since the rapid expansion of renewable energy, the great distances across the...
Overview EVRPTW-ARC (Arc-Based Realistic Conditions) is a multi-scenario dataset providing realistic travel information for research on the Electric Vehicle Routing Problem with Time Windows (EVRPTW). The dataset is built from the 92 benchmark instances proposed by Schneider et al. (2014). The original routing informat...
This dataset contains the corpus spreadsheet (163 papers), the rating evidence trail (156 entries), and the completed PRISMA 2020 checklist for the systematic survey "Simulation Tools for Resource Scheduling in Fog and Edge Computing: A Survey on Machine Learning Integration," submitted to Discover Artificial Intellige...
Overview EVRPTW-ARC (Arc-Based Realistic Conditions) is a multi-scenario dataset providing realistic travel information for research on the Electric Vehicle Routing Problem with Time Windows (EVRPTW). The dataset is built from the 92 benchmark instances proposed by Schneider et al. (2014). The original routing informat...
Vehicular Ad-hoc Networks (VANETs), utilized as a part of Intelligent Transportation Systems (ITS), are crucial for transmitting the information in real time between the vehicles as well as between the vehicles and the infrastructure, thereby improving safety, traffic management, as well as driving efficiency. Despite...
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
Education Innovation
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…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
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.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
