The rapid proliferation of Generative AI (GenAI) has catalyzed the emergence of autonomous agentic AI services, spanning large language model (LLM) or vision-language model (VLM) based digital agents to vision-language-action (VLA) based embodied intelligence. Consequently, tokens and multimodal data streams have emerg...
Cheng-Xiang Mi, Ce Wang, Kai Zhang et al.· Proceedings of the 2026 Inte...· 0 citations
Existing ns3/AI bridges target numeric reinforcement learning (RL) pipelines and cannot handle the text-centric prompt/response exchange, structured output validation, and multi-node orchestration that large language models (LLMs) require. We introduce ns3-GenAI, an open framework that augments the ns3 shared-memory in...
Su-Bin Han, Junkyu Hong, Sangheon Pack· Proceedings of the 2026 Inte...· 0 citations
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.
Baptiste Chopin, Thomas Swearingen, Arun Ross et al.· 0 citations
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...
T. Wong, Ang Yu Chien Constance, M. S. Hussein et al.· The Clinical Teacher· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
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...
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.
J. Z. Zhang, Jimmy Sun, D. Liu· Electronic Markets· 0 citations
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.
Bing C. Huang, Li Xie, Ya-Mei Liu et al.· International Journal of STE...· 0 citations
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.
Tuğçe Sözen, N. Börekçi· Artificial intelligence for...· 0 citations
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...
Rintaro Fujita, Sugandh Malhotra· Proceedings of the 2026 ACM...· 0 citations
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.
Christos-Spyridon Koulouris, Stylianos Mystakidis, Christopoulos Athanasios et al.· Proceedings of the 2026 ACM...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
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.