AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,572 papers
Quantumer, a hybrid TinyML--quantum framework that integrates multi-scale dilated convolutions and scaled dot-product attention within a lightweight transformer architecture, employing a two-stage transfer learning pipeline from Quantum Pre-Training (Quantumer-Q) to Classical Fine-Tuning (Quantumer-C).
We introduce a graph decomposition primitive called introvert clustering, which strengthens standard low-diameter clustering by guaranteeing that every clustered vertex keeps at least a $\left(\frac12-\varepsilon\right)$-fraction of its relevant neighbors in its own cluster. Repeatedly applying this primitive yields a...
An intelligent wearable system based on edge computing to enhance the efficiency of self-rehabilitation, improve system portability, and ensure comprehensive recording of rehabilitation data is proposed.
The study confirms that IoTSim-Edge is an effective tool for evaluating IoT infrastructure performance without physical hardware deployment.
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Code and analysis outputs supporting the manuscript. Every quantity reported in the paper is drawn from the JSON files in analysis/, each produced by a script in scripts/. The study uses three kinds of data: the complete on-chain USDT histories of the 490 addresses named in Israeli counter-terrorism seizure orders and...
The Open Radio Access Network (O-RAN) has emerged as a transformative advancement in next-generation cellular cyberinfrastructure through its support for open interfaces, modular architectures, virtualization, and multi-vendor interoperability. Although these capabilities significantly accelerate innovation in future m...
The Internet of Medical Things (IoMT) is a revolutionary technology model that is transforming modern healthcare dramatically. The most important IoMT infrastructure components discussed in this chapter are advanced wearable sensors, cloud and edge computing models, scalable telehealth and remote monitoring systems, an...
KHIN™ is the Portable Digital Self, a persistent, sovereign, portable computational entity designed to carry an individual's intelligence, identity, memory, cryptography, value, agents, and network presence as one personal object under the user's ownership and control. The concept addresses the fragmentation of the mod...
A dynamic consistency-aware multi-view framework enhanced with SAM3 for 3D medical image segmentation that achieves superior segmentation accuracy over state-of-the-art approaches, with promising technical performance that supports further multicenter prospective clinical validation.
Short Summary The BigLeak Hurrican Cosmology is an alternative model of the universe that tries to explain all major cosmological observations without Dark Matter, without Dark Energy, and without the Λ‑term. Instead of adding new particles or unknown energy forms, the model builds the universe from one single fundamen...
A shared one-time pad is conventionally treated as a single linear byte stream consumed front to back, one message after another. This wastes the pad's structural potential, forces a single serialised channel, and leaves the pad's most dangerous failure — reuse of bytes across two messages — as a discipline the impleme...
KHIN™ is the Portable Digital Self, a persistent, sovereign, portable computational entity designed to carry an individual's intelligence, identity, memory, cryptography, value, agents, and network presence as one personal object under the user's ownership and control. The concept addresses the fragmentation of the mod...
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work and cyber defense, rolling out soon.
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