AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,222 papers
CCDF is a highly realistic, small-scale, manually annotated dataset targeting evaluation of detection models, and its results further confirm that existing datasets are not well-suited to evaluating certain threats.
This study maps how AI ethics is taught within postgraduate/CPD HPE, drawing on principlism, an ethical framework espousing the principles of autonomy, beneficence, non-maleficence and justice and transformative learning theory (TLT), which explains how critical reflection transforms professional assumptions, perspecti...
Emergency messaging such as extreme-weather reports and earthquake instructions can involve high stakes, to the extent that translation errors can lead to tragic consequences. The use of machine translation or generative artificial intelligence might therefore not be recommended. On the other hand, time savings in the...
In the field of Explainable AI (XAI), counterfactual (CF) explanations interpret a model's decision by suggesting the changes to the input that would lead to a more favourable outcome. To be useful in practice, such an explanation should change few features and change them as little as possible, properties known as spa...
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A unified compression and editing framework for AI-generated videos is proposed that incorporates a frozen video generator as a reusable generative prior and designs three spatiotemporal semantic importance-guided techniques that respectively address what to transmit, how much to transmit, and how to use the transmitte...
It is found that perceived usefulness of GenAI and perceived applied AI literacy are positively associated with managerial job satisfaction and the positive association between perceived usefulness and job satisfaction is stronger among managers reporting higher applied AI literacy.
The results suggest that training can enhance students’ revision performance and foster more strategic engagement with GenAI in the short term and underscore the practical need for student development in AI literacy.
This article investigates how designers integrate AI tools into their design processes, and how they engage with these tools in the conduct of designerly practices through different communication styles and interaction types.
We present SNDBOX, a tangible interactive installation that recontextualizes Rangoli, a 5,000-year-old Indian sand-drawing practice, as a spatial interface for observing how people respond to real-time generative AI. Participants shape colored sand on a table; an overhead camera feeds a YOLO object-detection model whos...
Results of a mixed-method evaluation study provide strong evidence that the integration of AR and GenAI in a serious escape game constitutes an effective and engaging approach for enhancing museum-based learning experiences and does not detract from interpersonal dynamics during the experience.
Artificial intelligence is commonly described as a property of models: larger architectures, more data, and increasingly capable procedures for prediction, generation, and control. This paper begins from a different object: the network. Before contemporary generative AI existed, the Internet had already assembled sever...
The convergence of Metaverse technologies and Generative AI (GenAI) is reshaping immersive digital education. This study presents a scoping review of Metaverse and GenAI-enabled education following the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guidelines. A systematic search of ACM Digital Library, IEEE Xplore,...
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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