AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,281 papers
Brane tilings are bipartite graphs on a 2-torus that encode the Lagrangians of 4d N=1 supersymmetric gauge theories arising on D3-branes probing toric Calabi-Yau 3-folds. Among these bipartite graphs, only those that satisfy geometric consistency conditions correspond to well-behaved quantum field theories. We train a...
Objective: Effective strategies to prevent Alzheimer's disease and related dementias (ADRD) are limited. Implementing our Medication-Wide Association Study (MWAS+), we highlighted varenicline as a candidate. This study evaluated the association between varenicline use and risk of ADRD relative to nicotine replacement t...
The findings indicate that AI can increase the speed of evidence screening, assist in pattern identification and support experts in repetitive or highly complex tasks, but the literature also highlights limitations related to the quality and representativeness of databases, external validation, explainability, algorith...
A contingent dual-pathway model of AI-HRM digitization is proposed in which the same digital HR transformation mechanism can elicit defensive and proactive employee responses simultaneously, and identifies task discretion as a key boundary condition, to explain when AI-HRM digitization will undermine or enhance employe...
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An end-to-end framework for walnut disease detection that uses deep learning and explainable artificial intelligence (XAI) along with the development of a web application is presented, which presents an interpretable, efficient, and scalable solution for walnut disease monitoring to support precision agriculture applic...
Recent interest in ultra-high-performance concrete (UHPC) has been on the use of construction and demolition waste (CDW) due to the growing need to use sustainable construction materials. Recycled concrete powder (RCP), a product of CDW, is a promising way to reduce cement use, lower CO2 emissions, and make green const...
A novel adaptive detection framework that combines blockchain-based integrity verification with explainable artificial intelligence to identify and mitigate poisoning attempts in federated learning systems for electric vehicle charging networks is presented.
Aims: This study develops a dynamic explanation for the gap between task-level artificial intelligence productivity and durable enterprise value. It introduces verification debt, the accumulated stock of unverified assumptions, weak review, concealed dependencies, deferred validation, and capability loss. Study Design:...
Résumé Cette recherche analyse les conditions dans lesquelles l’intelligence artificielle (IA) peut être perçue comme une assistance cognitive susceptible d’atténuer certains biais comportementaux dans les décisions financières. Fondée sur une enquête quantitative menée auprès de 198 répondants, l’étude examine la perc...
This work presents a theoretical architecture for continually adapting AI systems organized around three distinct timescales: (1) fast transformer key-value context for immediate interaction, (2) medium-term persistent recurrent memory with decaying importance and consolidation, and (3) slow, controlled parameter adapt...
The El-Rakhawi Neuro-Algorithmic Software Architecture presents a unified framework for brain-inspired computational intelligence, merging neuro-symbolic integration with cognitive software engineering. It replaces rigid imperative coding with dynamic, plastic modules that adapt via synaptic weighting algorithms, mimic...
Understand patent maintenance fees with 30-day audit vs lapse block strategies, plus preventive phases and AI predictive insights that cut downtime by 50%. Independent technical note mirroring the canonical version: https://iprs.cloud/blog/patent-maintenance-fees-explained-30-day-audit-vs-lapse-block.php
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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