AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,176 papers
Artificial intelligence (AI) tools are transforming how quantitative research is conducted. This essay reflects on how four core practices—method selection, coding, result interpretation, and reproducibility—have shifted in the age of AI, and its implications for researcher expertise and accountability. Quantitative ex...
The development of generative artificial intelligence has transformed the digital visual communication ecosystem by enabling the production and manipulation of increasingly realistic images, thereby challenging the assumption that what is seen can immediately be trusted as evidence. This study aims to analyze the relat...
The rapid advancement of Artificial Intelligence (AI) has transformed the practice of digital marketing by enabling the automated generation of promotional content. While AI-generated marketing texts are increasingly utilized by businesses to enhance communication efficiency and audience reach, limited attention has be...
Generative artificial intelligence can enhance the quality and visibility of advanced learners’ work while making it harder to determine what the resulting performance reveals about their independent competence. This theoretical paper develops the Relational Epistemic Agency Model for Advanced Learners (REAM-AL) throug...
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This guide provides practical strategies for international students to overcome language and socio-cultural barriers, improve language proficiency, address cultural adaptation challenges, and strengthen academic and professional communication. Intended to supplement university-provided orientation materials at English-...
Situated against the backdrop of an evolving regulatory landscape, this study investigates the perceptions of United Kingdom university educators regarding the use of generative artificial intelligence in summative assessment. Through a mixed-methods survey of 330 academic staff, the research identifies a significant g...
The accelerating evolution of digital infrastructures and cognitive technologies has fundamentally reshaped contemporary social fabrics; a complex matrix of systemic opportunities and ethical challenges. However, while the socio-economic dividends of automation abound, the swift and uncoordinated spread of these tools...
Background The existing research on children’s art education still has shortcomings in the field of artificial intelligence creation support and lacks an exclusive generation model and systematic evaluation framework that takes into account the characteristics of children’s cognitive development and physical and mental...
Lynne Stahl, PresenterMichelle Colquitt, Recorder At a time when academic libraries face pressure to compete for limited funding and status in both the public and institutional eyes, one thing every discipline has in common is metadata. It is through the information infrastructures within academia, which are often unde...
Customer data platforms (CDPs) are increasingly positioned as the data and decision infrastructure of artificial intelligence (AI)-driven marketing. Yet the academic literature has not adequately explained when a CDP can reconcile privacy compliance with hyper-personalization, nor how this reconciliation depends on pla...
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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