Title: Generative AI-Powered Pedagogical Agents in Immersive Environments for Social Sciences and Humanities Education: A Scoping Review Purpose This research project investigates how generative artificial intelligence (GenAI)-powered pedagogical agents and virtual instructors are being used within immersive virtual re...
Veysel Dağdemir, Erhan Görmez· Open Science Framework· 0 citations
AceSpec, an asymmetric edge-cloud collaborative framework that employs an asymmetric communication protocol that transmits minimal main-chain indices uplink and compact sparse distributions downlink and introduces a network-aware, Lagrangian-optimized resource allocation strategy that dynamically maximizes the local ca...
Yi-Da Zhang, Zhi-Yong Gao, Shuai-Bing Yue et al.· 0 citations
A two-axis taxonomy connecting six compression families to five semantic communication architectures is synthesized with a quantitative meta-analysis of the model-size-versus-semantic-fidelity Pareto frontier, synthesized with a quantitative meta-analysis of the model-size-versus-semantic-fidelity Pareto frontier.
Srikanth Kamath, A. Mathur, Joslyn Sajan George et al.· 0 citations
It is shown that an auxiliary task such as BEV-Forcing can improve both in-distribution and out-of-distribution performance when training on a small number of camera rigs, and is presented as evidence that new techniques in the literature may see their benefits diminish when simply scaling up training diversity.
Caio Azevedo, Stefano Sabatini, Sascha Hornauer et al.· 0 citations
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This paper presents a meta-synthesis that draws together four constituent studies covering adversarial machine learning, AI-powered anomaly detection in cloud environments, automated vulnerability patching by multi-agent large language model (LLM) pipelines, and the broader landscape of securing AI systems across their...
Harsh Verma· International Journal of Sci...· 0 citations
Retrieval-Augmented Generation (RAG) helps language models give more accurate answers by using information from external documents. Instead of depending only on what the model learned during training, it can search for relevant information when needed. The quality of the retrieved information is important for getting g...
Ayush Aryan, Sudhakar Ranjan· International Journal For Mu...· 0 citations
This paper proposes SPO-PA, which combines self-correcting prompt optimization (SPO) and preference alignment (PA), which compares LLM predictions with reference annotations and applies source-specific constraints to these signals.
Fu-Yuan Wei, Wen-Zhong Yang, Tiquan Gu et al.· Journal of King Saud Univers...· 0 citations
LLM-based chatbots may have potential as supplementary sources of patient-facing health information, but they should not replace professional medical evaluation and do not establish patient comprehension, educational effectiveness, or clinical benefit.
Xin Zuo, Huan Zuo, Min Zhang et al.· Frontiers in Public Health· 0 citations
Measuring the waits a hiring process creates, and keeping the record it owes Four working days of internal approval are three weeks of silence on the other side, and almost every complaint about hiring is a complaint about that gap rather than about the decision at the end of it. Recruitment administration is a queue w...
Aisha Gunawan· Zenodo (CERN European Organi...· 0 citations
I can generate a working AI specification in about five minutes, and it runs across five different AI platforms without being rewritten for each one. This paper describes the method that got me there and how I checked that it was real. The method is a loop. Build a specification for a job, test it, then pull out the pa...
Robert E. Bankston· Zenodo (CERN European Organi...· 0 citations
This record contains the data, code, annotations, and evaluation artifacts for a controlled study of ontology-guided prompting in zero-shot information extraction. The experiment compares a generic extraction prompt with an ontology-guided variant using 20 synthetic single-entity texts constructed for four selected ont...
Michael Romei de Socio· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
