Artificial intelligence (AI) particularly machine learning (ML) are increasingly used to predict perioperative risk in patients undergoing major cancer surgery. This narrative review aims to orient perioperative clinicians to contemporary AI-based predictive modelling, critically appraise the current evidence, and exam...
H. Ismail, E. Tyson, M. Ha et al.· Current Anesthesiology Repor...· 0 citations
A federated multimodal framework for inclusive preschool dance education, with explicit links between model design and educational decision requirements, which shows the largest motor-skill and social-inclusion gains for HomeSchool-AI, while the ablation, robustness, privacy–utility, and cross-school analyses provide c...
A provenance-aware hybrid search framework for digital libraries that connects digital library content and metadata with hybrid retrieval and AI synthesis, provenance-aware interface design, and user interaction is proposed.
Rajesh Kumar Das, Gretchen R. Stahlman· 0 citations
This research conducts a set of experiments using open-source Large Language Models with small parameters hosted on local servers to screen titles and abstracts against pre-defined eligibility criteria respective to each topic, and suggests that AI may indeed aid with initial relevance screening, but more research is n...
Min-Ji Kang, Bipasha Banerjee, C. Comer· Proceedings of the 26th ACM/...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
It is suggested that habitual, pressure-driven responses progressively outweigh careful, quality-oriented considerations in AI-assisted knowledge acquisition, and empirical evidence to guide human–AI collaboration design, AI governance frameworks and sustainable knowledge management practices is offered.
Ze-Quan Luan, Yong-Qiang Sun, Jie Ma· Journal of Knowledge Managem...· 0 citations
A unified and reproducible framework for studying both crime volume and hotspot probability across three major U.S. cities is presented, with deep learning models consistently outperform ARIMA on daily forecasting.
Build observability is developed as a testable, hypothesis-generating framework for organising cross-method heterogeneity, which can be appropriate for perceptions, confidence, experiences, and self-observed behaviours.
Yi-Jun Fan, Yang-Tian Ning, Vanman Isabel Tchiang et al.· International Journal of Edu...· 0 citations
Abstract The rising accessibility of large image datasets and pre-trained models allowed a rapid expansion of computer vision (CV) methods in social science research. While this methodological development opens new potential applications, this combination also raises a new set of ethical concerns that neither computer...
Thomas Schincariol, Alejandro Aísa, Belén González et al.· AI and Ethics· 0 citations
An active acoustic probe is proposed that verifies whether the returned audio traversed a genuine physical speaker-to-microphone path, and yields a simple, explainable signal-processing rule calibrated only on normal physical-path recordings.
Lior Yasur, Yisroel Mirsky· Proceedings of the 2nd ACM W...· 0 citations
This paper asks how AI ethics education should respond when technologies do not merely extend professional activity but participate in reshaping the practices through which professional identities are formed. It argues that AI ethics literacy, while necessary, is not enough under these conditions and develops a for...
S. Heidarifar· Journal of character educati...· 0 citations
Purpose: This review explains how knowledge sharing is converted into organizational performance and identifies the organizational, technological and contextual conditions that enable, constrain or redirect this conversion. Design/methodology/approach: A systematic literature review covering 2014-2025 was conducted in...
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
