AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,200 papers
This study explores climate-related anxiety as expressed through social media discussions on Reddit. Using natural language processing techniques, we analyse large-scale textual data to identify recurring themes, emotional patterns, and how these evolve over time. Text data was preprocessed and analysed using BERTopic...
PhysioAI, a clinical knowledge-guided semantic supervision framework that injects structured physiotherapy knowledge into skeleton representation learning, is proposed, demonstrating that structured clinical knowledge can serve as an effective source of training-time supervision for physiotherapy action recognition.
Large language models (LLMs) can plan, write code, call tools, manipulate software, and execute long-horizon workflows. Yet strong local competence does not guarantee project-level executive control. An agent can make large, useful early advances and then shift toward progressively smaller, lower-value actions—addition...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22734670. What the paper claims This is an evidence map of 11,628 PubMed-indexed records on generative language models in healthcare, January 2023 to June 2026, built to answer one...
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Dataset and analytics produced by the AccessDetector pipeline: 835 captured Android screens across 138 apps with valid captures (from 140 explored), audited by 3 vision-language models (GPT-5.4, Claude Sonnet 4.6, Gemini 2.5 Pro) under a 9-tag accessibility taxonomy. The analytic universe of the paper is the 720-screen...
The greater the surface tension, the higher the liquid climbs──so it is thought. This paper shows that what lifts the liquid is not the tension but its difference──which is why pure water, with the largest tension of all, makes no tears. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem...
A measured sweep of 341 public Arabic-language datasets on the Hugging Face Hub for text corrupted by the widespread arabic_reshaper.reshape() + python-bidi get_display() pre-shaping recipe, which stores Arabic as Unicode presentation forms in visual order rather than as logical-order text. Method. Datasets were read t...
Crystal structure is one of the most abstract topics in secondary school chemistry. Textbookspresent three-dimensional lattices as flat diagrams, and physical models cannot be modified, sostudents often memorize conclusions such as "NaCl has a coordination number of 6" withoutunderstanding how structure determines prop...
Improving is expected to bring advantage. This paper shows that if the other improves as much, nothing changes──and that stopping nonetheless costs a great deal. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the Red Queen hypothesis, coevolution and relative fitne...
Fit a high-lift device and you fly correspondingly slower──so it is thought. This paper shows that the lift coefficient acts on the stall speed only through a square root──a factor of 1.6667 buys a drop of 22.5 per cent. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claime...
Raising the compression ratio raises efficiency──so it is said. This paper shows that the same proportional increase buys 1.480429 times less at the top──and that the ratio has a closed form. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the theoretical efficiency...
This research monograph presents the 333 Primordial Constants Project as an interdisciplinary framework for studying the minimal constraints, organizing principles, and generative conditions that may underlie physical structure, mathematics, cognition, life, narrative, civilization, meaning, symbolic systems, agency, a...
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.
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.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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