AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Category
2,181 papers
artficial intelligence (AI) and big data analytics have moved from specialised technical functions to the core of how organizations compete, create value and organise work. This concluding chapter looks ahead. It examines the technological, organizational, regulatory and societal trends that are likely to shape the nex...
Who or what is conscious? Because subjective experience is directly accessible only in the first person, judgments about consciousness in other entities depend partly on analogy. Historically, such inferences have focused on nonhuman animals, but advances in artificial intelligence have raised the possibility of consci...
This study aims to investigate how Agentic artificial intelligence (AI) readiness enhances Strategic Agility among small and medium-sized enterprises (SMEs) in Sri Lanka. Drawing on the Technology-Organisation-Environment framework, Resource-Based View, and Dynamic Capabilities theory, this study incorporated data-...
The certification-group findings should be interpreted as exploratory rather than as evidence of substantively meaningful or causal effects, and future research should combine self-report and performance-based assessment, employ representative samples, and directly examine the individual and institutional factors assoc...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Version 1.1 update — This revision adds bounded worked examples and reader-accessibility improvements to the September 27, 2026 v1.0 publication. It also adds an explicit disclosure of AI assistance in drafting, mathematical formulation/manipulation, computational checking, adversarial review, and research organization...
Abstract Building a working mental model of a protein typically requires weeks of reading, cross-referencing crystal and predicted structures, and inspecting ligand complexes, an effort that is slow, unevenly accessible, and often requires specialized computational skills. We introduce Speak to a Protein, a new capabil...
In isotropic coordinates the Schwarzschild metric satisfies N = 2/ψ − 1 for every mass, so if the lapse is a function of the isotropic conformal factor alone, vacuum general relativity fixes that function (in areal coordinates the same argument gives a different closure, Jacobson 2007: the choice of the isotropic varia...
This working paper develops and evaluates an explainable hybrid artificial-intelligence framework for detecting anomalous general-ledger transactions in small and medium-sized enterprise (SME) accounting systems. A synthetic SME general ledger comprising 50,000 transactions across 400 accounts and 80 users was generate...
As AI takes over tasks traditionally assigned to junior employees, how can organizations preserve opportunities for people to develop professional judgment? This conceptual paper proposes treating AI as a junior employee and designing its on-the-job training (OJT) as an opportunity for human development. AI mistakes ca...
This working paper develops and evaluates an explainable hybrid artificial-intelligence framework for detecting anomalous general-ledger transactions in small and medium-sized enterprise (SME) accounting systems. A synthetic SME general ledger comprising 50,000 transactions across 400 accounts and 80 users was generate...
About This Book This is the shortest way into the Productive Value–Productive Power (PV-PP) runtime. It explains what the PV-PP framework is and what the runtime does, recommends building with an AI assistant, shows how to install and verify the runtime, and then builds one small application, a battery-powered sensor,...
_ The next phase of digital transformation in oil and gas is being shaped by a new generation of artificial-intelligence (AI) systems that combine engineering physics with machine learning (ML). Unlike traditional AI approaches that rely primarily on historical data, physics-based AI integrates physical laws, engineeri...
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.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.