AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,323 papers
While Perplexity achieved the performance closest to the “gold standard” in terms of informational accuracy, no model is currently mature enough to substitute for a professional medical consultation due to observed citation biases and omissions.
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22967860. This paper proposes a multimodal AI agent that checks its own work before finishing a task. The idea is to check each step using different types of verification, and if so...
This project contains the protocol and supporting materials for a scoping review mapping educational interventions designed to develop generative AI literacy among undergraduate medical students. The review will follow JBI guidance and will be reported in accordance with PRISMA-ScR.
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22967917. This paper proposes a multimodal AI agent that checks its own work before finishing a task. The idea is to check each step using different types of verification, and if so...
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This paper establishes a unified transdisciplinary framework—the "Purple Synthesis"—by synthesizing the non-dualistic ontology of Advaita Vedanta, the modified Ricci flow topology of Perelman’s S3 manifold, and the operational reality of generative Artificial Intelligence. Rejecting traditional mechanistic materialism,...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22958187. The baseline strategy of evaluating clinical sample types to optimize qPCR diagnostic sensitivity grids for Canine Distemper Virus is highly relevant to contemporary mole...
The EU AI Act 2024 suffers from regulatory lag: static legislation cannot match Generative AI's exponential evolution. This paper proposes Lamfalussy 2.0, adapting the 2001 financial markets framework to AI governance through four levels: Level 1 (immutable principles: safety, transparency, non-discrimination), Level 2...
Purpose Team leaders in high-pressure contact centres must balance operational demands with people management, requiring high emotional intelligence (EQ). While traditional coaching can support EQ development, it is often costly and inaccessible. Generative artificial intelligence (AI)-enabled coaching offers a potenti...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22967928. This paper proposes a multimodal AI agent that checks its own work before finishing a task. The idea is to check each step using different types of verification, and if so...
Generative recommenders represent each item as a Semantic ID: a short sequence of discrete tokens. Popular quantization algorithms, such as RQ-VAE and residual K-means, can map several items to the same token sequence, producing collisions. Collisions must be resolved before training a single-stage generative recommend...
ABSTRACT This study examines how the choice of AI model and its architecture influences distributional fidelity in silicon sampling. Silicon samples, AI‐generated synthetic respondents used to simulate human survey responses, are increasingly proposed as substitutes for traditional market research participants, yet evi...
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
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.
GPT-Lab
· gpt-lab.eu
Oct 12, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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