AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,042 papers
The Federated Logistics Operations Dataset (FLOD) is a large-scale real-world dataset designed to support research on distributed logistics optimization, predictive modeling, and industrial Internet of Things (IIoT) analytics. The dataset consists of 253,020 operational records collected from geographically distributed...
The COVID-19 pandemic exposed persistent weaknesses in health-data interoperability, cybersecurity, provenance, cross-organizational governance, and continuity of digital care. This short communication presents an updated focused narrative synthesis and a five-layer governance framework for integrating blockchain and t...
The chapter discusses how blockchain-based verifiable credentialing, federated learning, and immersive metaverse environments converge as a single architectural solution to three structural failures in modern digital education: centralised credential vulnerability, privacy personalisation trade-off, and lack of experie...
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The rapid advancement of smart textiles, flexible electronics, Edge Artificial Intelligence, and Tiny Machine Learningis transforming wearable healthcare systems from passive sensing platforms into intelligent, real-time health monitoring ecosystems. This chapter explores the integration of e-textiles, textile-based bi...
The El-Rakhawi Grand Theory of Regenerative Cybernetic Infrastructure and Sovereign Computing (DOI: 10.5281/zenodo.23232575) reimagines Information Technology as a **decentralized, edge-intelligent planetary nervous system** operating in cybernetic harmony with human dignity and ecological boundaries. Built on six pill...
Artificial Intelligence has emerged as a pivotal advancement in textile systems, integrating intelligent sensing, wearable computing, IoT, and machine learning applications on smart fabrics for real-time monitoring of object behavior through predictive analytics. The primary areas of application identified in the inves...
The El-Rakhawi Theory of Harmonious Algorithmic Jurisprudence and Sovereign Legal Governance (DOI: 10.5281/zenodo.23239861) bridges Japanese legal AI precision with mathematical certainty, transforming algorithmic jurisprudence from probabilistic simulation into a verifiable cognitive infrastructure. Built on five pill...
The evolution of flexible and stretchable electronics has reshaped traditional textiles into intelligent wearable devices that have benefits such as sensing, communicating, computing, and making decisions in real-time. Currently, e-textile technologies are still disparate, lacking integration of the smart features of e...
The integration of Artificial Intelligence (AI) with cloud computing has emerged as an important research area for developing scalable, intelligent, and automated computing environments. Cloud computing provides on-demand access to computing resources, storage, networking, and software services, while AI and Machine Le...
Code and results for the revised manuscript "Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification" (Scientific Reports, second revision). Changes since v3.0: All methods re-run with seeds 0 to 5 (previously 0 to 2) under the inter-patient DS1/DS2 protocol of the MIT-BIH Ar...
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
A Blog post by NVIDIA on Hugging Face
A Blog post by IBM Research on Hugging Face
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
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