This study integrates two experimental investigations to examine how AI-CDSS design features jointly influence trust, autonomy-related perceptions, and acceptance across patients and physicians, and demonstrates that perceived usefulness is the strongest predictor of intention to use among both patients, potential futu...
Sophia Ackerhans, Carsten Schultz· Current Directions in Biomed...· 0 citations
Pie, the dependently typed teaching language of The Little Typer, is pedagogically near-ideal: just enough to teach dependent types and proof, and no black boxes. Yet its original implementation imposes barriers of its own: a heavyweight local setup, no interactive feedback, a fixed set of built-in types, and proofs wr...
Qi-Xiang Zhang, Feng Ding, Dao-Xin Li et al.· 0 citations
Health information is often difficult for patients, relatives, and caregivers to understand because of technical language, limited health literacy, and cognitive interface barriers. This paper presents PlainHealth, a work-in-progress multimodal service suite that uses generative AI and task-specific language technologi...
L. Moreno, Paloma Martínez, Jesús M. Sánchez-Gómez· Companion Publication of the...· 1 citation
Health and therapeutic applications impose stringent requirements on the analysis of human nonverbal behavior and the generation of behavior for socially interactive agents (SIAs): both must be not only natural-looking but also clinically appropriate, explainable, and safe. Current approaches fall short on both sides:...
Philipp Müller, H. Lausberg, Patrick Gebhard· Companion Publication of the...· 1 citation
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Authoring and refining presentation slides is time-consuming in academic and professional settings. Although generative AI lowers the barrier to creating initial drafts, its black-box, one-way workflow often limits fine-grained control. A formative study with 10 frequent presentation authors identified trial-and-error...
Yu Fu, Yong-Qi Kang, Yu-Jia Zhou et al.· Proceedings of the 28th Inte...· 0 citations
LUCID is presented, a modular conceptual reference architecture for non-diagnostic, patient-facing generative AI health coaching grounded in Therapeutic Patient Education (TPE) that separates curated knowledge, controlled health-context integration, analysis and personalization, response generation through an internal...
Leon Paul Mondrian Munz, Ana Kirschbaum, Christopher Joachim Kania et al.· Companion Publication of the...· 1 citation
Enterprise information is distributed across applications, data platforms, documents, metadata repositories, process models, and architecture tools, making relationship-centric analysis difficult. This paper proposes an Enterprise Knowledge Graph Architecture that connects business entities, semantics, metadata, lineag...
Sanjeeve Kumar Gajadi· Zenodo (CERN European Organi...· 0 citations
Cloud security operations must process high-volume, rapidly changing telemetry within short response windows while maintaining governance and accountability. However, the literature on cloud defense, SOC modernization, retrieval-augmented generation (RAG), and Agentic AI remains fragmented. This paper combines a legacy...
Abdulaziz Al Humaidi, Faisal A. Al-Qadda, Albandari Alsumayt et al.· Network· 0 citations
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...
Antony Ronald Reagan Panguraj· Zenodo (CERN European Organi...· 0 citations
Y/Bi substitution in Bi-2212 ceramics produces a peaked mechanical response within a narrow composition window. This materials informatics study applies a compact, leakage-conscious machine-learning protocol to the published indentation dataset to recover and explain that compositional trend. The modelling table compri...
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.
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