AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,175 papers
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Modern enterprise digital infrastructures face unprecedented cyber threats characterized by high volume, zero-day vulnerabilities, and multi-stage attack vectors. Traditional rule-based Intrusion Detection Systems (IDS) and shallow machine learning models struggle to maintain high detection accuracy while minimizing fa...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121365. Summary of main findings and contribution This narrative review focuses on an important question: how psychosexual rehabilitation after cancer can be delivered at scale, r...
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Abstract: The rapid proliferation of artificial intelligence (AI) and big data analytics has fundamentally transformed how organizations understand, predict, and influence consumer behavior. Despite the growing adoption of AI-driven predictive analytics in marketing, there remains limited theoretical integration explai...
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23120609. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat appropriate A...
FAIAS (Financial AI Independent Assurance Standard) is a baseline for reviewing generative, agentic and predictive AI systems in financial institutions. This is its first public release. What it contains A taxonomy of how these systems fail. 109 Independent Review Questions. Each has a review canvas and a test procedur...
In autumn 2026 the Italian government announced a package of measures for advanced robotics and Physical AI: a dedicated fund of 200-300 million euro in the 2027 budget law, the use of Innovation Agreements (Accordi per l'innovazione) as the delivery vehicle, a publicly controlled "chain leader" to aggregate the supply...
With the advent of artificial intelligence and deepfake technologies, the modern information landscape is changing, giving rise to realistic synthetic text, images, audio, and videos. Such changes pose significant problems for democratic accountability, because they can skew political discourse, reduce trust in authent...
This record contains the data, code, and results supporting the book chapter "Explainable Agricultural Water-Use Efficiency: Integrating Frontier Analysis with Explainable AI for Environmental Decision Support" by Morteza Yaqubi and Ali Maroosi, prepared for the Elsevier volume Environmental Intelligence: Artificial In...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121600. Summary of main findings and contribution This narrative review focuses on an important question: how psychosexual rehabilitation after cancer can be delivered at scale, r...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121066. Peer Review Preprint Title: Self-Correcting Multimodal AI Agents for Reliable Autonomous Decision-Making Authors: Muhammad Umair Younus, Hammad Muneer, Danial Hameed, and...
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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