Digital transformation in pharmaceutical regulatory affairs is accelerating as global submissions grow in complexity and traditional document-based workflows reach their limits. Artificial intelligence (AI), particularly natural language processing (NLP), is increasingly being explored to support regulatory data manage...
Inês Lucas, João Sousa, C. Vitorino· AAPS Journal· 0 citations
As automated vehicles (AVs) are increasingly deployed in real-world environments, users often do not understand what decisions their vehicles are making, or why. Explainable AI (XAI) offers a promising path toward transparency, yet most existing approaches remain algorithm-centric and inaccessible to end users. This wo...
Krishna Sahithi Karur, Andreas Riener, Philipp Wintersberger et al.· Adjunct Proceedings of the 1...· 0 citations
A fully automated (SAE L5) vehicle can obey every traffic rule and still behave near-erroneously, and a passenger who cannot tell why loses situation awareness (SA) to the black-box driving stack, degrading the ride. Prior natural-language explanations target drivers or stop at model interpretability, not a passenger-f...
Taewan Kim, Soeun Park, Eunchae Song et al.· Adjunct Proceedings of the 1...· 0 citations
Overall, multimodal explanations appear beneficial, particularly during initial use, but should adapt to user needs and context, but should adapt to user needs and context.
Ignacio J. Alvarez, Tobias Seidl· Adjunct Proceedings of the 1...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
Employee AI awareness (AIA) has emerged as a critical yet conceptually diffuse construct capturing how employees cognitively and affectively interpret the implications of artificial intelligence (AI) for their work. Addressing calls for psychologically grounded research on AI in organizational contexts, this study syst...
Harish Yadav, R. Dhar· Acta Psychologica· 0 citations
Imagined digit recognition is a significant research area within Brain–Computer Interface (BCI), involving non-invasive electroencephalography (EEG) for decoding brain activity. Imagined-digit decoding enhances communication for non-verbal individuals. This study proposes a Common Spatial Pattern-Convolutional Neural N...
Theoretical physics shows that the universe is stranger than the wildest science fiction. Two-and-half thousand years ago, the Chinese historian Lao Zi reported the science of a civilization that was already ancient at his time. Those Ancients proposed a sophisticated sum-zero creation theory that explains the principl...
Auke Schade· Zenodo (CERN European Organi...· 0 citations
Between 2025 and 2026, AI governance witnessed a dense cluster of impossibility results: the information-theoretic limits of explainability (Rao 2025), the computational limits of behavioural governance (McCann 2026), the axiomatic limits of collective accountability (Tibebu & Shemtaga 2026), the structural impossibili...
Xinghua (Steven Zhao) Zhao· Zenodo (CERN European Organi...· 0 citations
This technical report presents an evidence-assurance framework for AI-assisted Static Application Security Testing (AI-SAST), showing how AI can be used in security testing without treating its output as proof. It treats AI-generated findings as candidate security hypotheses rather than final determinations and propose...
Jumani Blango· Zenodo (CERN European Organi...· 0 citations
Abstract Background Patients with spondyloarthritis (SpA) have an increased risk of cardiovascular disease that is not fully explained by traditional cardiovascular risk factors. Chronic inflammation may alter lipid metabolism and contribute to the lipid paradox, limiting the value of conventional lipid parameters for...
Miroslav Markov, Tsvetoslav Georgiev, Maria Dimova et al.· BMC Rheumatology· 0 citations
This is the complete replication package for the ISE 2026 paper "Literature-Grounded Generation of README Files with Large Language Models: A Dual Human–LLM Evaluation". It contains every artifact behind every number reported in the paper: the prompts, the generated README files, the raw human and automated evaluations...
Talita Ribeiro, Allan Andrade· Figshare· 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.
