AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,222 papers
Complete replication package for the multivocal literature review Below the Waterline: A Survey of Agentic AI Security, Shadow AI Governance, and LLM Supply-Chain Risk in the Enterprise (submitted to Computers & Security, 2026). Contains the full search protocol and the four screening and coding codebooks; every retrie...
This study examines how plurilingual international students’ generative AI-mediated informal digital learning of Chinese (GenAI-IDLC) interacts with dimensions of multicultural personality to predict their second language willingness to communicate (L2 WTC). Survey responses were collected from 387 plurilingual interna...
ON THAT WHOLE HANDCRAFTING A CIVILIZATION THING From a Little Notebook to the Generation, Evolution, and Unfinished History of a Handoff-Ready Civilization This book explores a strangely modern and strangely ancient possibility: that a civilization can begin not with an empire, an institution, or a grand master plan, b...
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ON THAT WHOLE HANDCRAFTING A CIVILIZATION THING From a Little Notebook to the Generation, Evolution, and Unfinished History of a Handoff-Ready Civilization This book explores a strangely modern and strangely ancient possibility: that a civilization can begin not with an empire, an institution, or a grand master plan, b...
Step (v) of the proof of Theorem 1.10 in Mochizuki's Inter-universal Teichmüller theory IV bounds, for each tuple of places, the log-volume of the corresponding component of the holomorphic hull of the union of possible images of a Θ-pilot object defined in Corollary 3.12 of the third paper. This note gives an explicit...
Step (v) of the proof of Theorem 1.10 in Mochizuki's Inter-universal Teichmüller theory IV bounds, for each tuple of places, the log-volume of the corresponding component of the holomorphic hull of the union of possible images of a Θ-pilot object defined in Corollary 3.12 of the third paper. This note gives an explicit...
India's Goods and Services Tax (GST) already runs on algorithms: returns are matched by machine, taxpayers are ranked by risk, and invoices are authenticated through a central portal. Within seven weeks in mid-2026, two High Courts quashed GST proceedings tainted by artificial intelligence (AI), and in doing so raised...
This essay argues that generative artificial intelligence can displace students from the very act that, according to Thomas Aquinas, makes an action human: deciding with deliberation. For Aquinas, the human being differs from irrational creatures in being master of his own acts, and is so through reason and will (Summa...
India's Goods and Services Tax (GST) already runs on algorithms: returns are matched by machine, taxpayers are ranked by risk, and invoices are authenticated through a central portal. Within seven weeks in mid-2026, two High Courts quashed GST proceedings tainted by artificial intelligence (AI), and in doing so raised...
This essay argues that generative artificial intelligence can displace students from the very act that, according to Thomas Aquinas, makes an action human: deciding with deliberation. For Aquinas, the human being differs from irrational creatures in being master of his own acts, and is so through reason and will (Summa...
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.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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.
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