Companion data archive for the paper "Strangers to Themselves: What Language Models Say About Themselves Is Generic". The code, the slimmed scoring record and the generated paper tables live in the GitHub repository. That repository alone reproduces every number in the paper. This archive holds the parts that were too...
Philipp Blandfort, Urja Pawar· Zenodo (CERN European Organi...· 0 citations
Swift Tasks is a browser-based, Bring-Your-Own-Key (BYOK) AI vibe-coding platform that converts a natural-language description into a complete, multi-file web application through token-by-token streaming generation, with a live rendered preview that updates as generation proceeds. The platform's central architectural c...
Pamisetty Maria Bala Akshay Raj, Nethi Adarsh Ram· Zenodo (CERN European Organi...· 0 citations
The Neural Probabilistic Relational Game (N-PRG), a data-driven framework that automatically learns a probabilistic hypergraph of influence coalitions from cascade traces, unites the flexibility of gradient-descent learning with the structural rigour of relational games for influence analysis.
Duc-Nghia Vu, T. Nguyen, D. Vu et al.· Machine Learning and Knowled...· 0 citations
This paper applies the categorical test for genuine spatial computing to consumer smart glasses and argues that most current display-equipped models are augmented screens, showing text and icons fixed to the wearer's head rather than content positioned in the three-dimensional space around them.The paper separates two...
Ibrahim Abdul-Rahman Adebola· Figshare· 0 citations
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An integrated web-based pre-screening system for Korean oral presentations that combines automatic speech recognition, prosodic and disfluency analytics, presentation–material matching, and large language model (LLM)-based qualitative evaluation into a single automated pipeline is presented.
Yun-Haeng Lee, H. Kim, Sungock Lee et al.· Applied Sciences· 0 citations
The limited availability of interactive digital learning materials in Science and Social Studies (IPAS) often causes student disengagement and difficulties in comprehending Indonesian cultural diversity, necessitating the development of structured and innovative instructional media. This research and development study...
Ruri Setiawan, S. Sukardi, Eni Heldayani· SCIENCE Jurnal Inovasi Pendi...· 0 citations
Educational neuromyths are plausible but unsupported generalizations about the brain that can shape instructional decisions. This cross-sectional study examined their endorsement among 269 participating university faculty members in Ecuador. Recruitment followed a non-probability procedure that was not documented in th...
Fernando Pesantez Aviles, Ángel Torres-Toukoumidis, I. Marín-Gutiérrez et al.· Frontiers in Psychology· 0 citations
Online voice-based applications and speech communication have grown as a result of the revolutionary rise of smart gadgets and social media. The rapid advancement of deep learning (DL) has transformed the field of audio processing, enabling smooth human-computer interaction. DL approaches have been used to develop spee...
Muzaffar Ahmad Dar, Sri Gani Kaarthikeya Kammula, J. Pushparaj et al.· Frontiers in Artificial Inte...· 0 citations
This paper applies the categorical test for genuine spatial computing to consumer smart glasses and argues that most current display-equipped models are augmented screens, showing text and icons fixed to the wearer's head rather than content positioned in the three-dimensional space around them. The paper separates two...
Abdul-Rahman Adebola Ibrahim· Zenodo (CERN European Organi...· 0 citations
This chapter analyzes how industrial structures, cultural formations and governance regimes shape AI deployment across Asia-Pacific screen industries. It argues that Korea and Japan have built export-oriented, IP-centric ecosystems where AI extends K-pop, webtoon and anime franchises while preserving creator visibility...
Angus Finney· AI and the Screen Entertainm...· 0 citations
Abstract—Programming activities, such as automatic debugging and program repair, are increasingly being supported by Generative Artificial Intelligence (GenAI). However, a rigorous empirical evaluation of the efficacy of various large language models (LLMs) across several debugging phases is necessary. Using a benchmar...
Muhammad adrevi zaki rukmana, Sasmoko Sasmoko, Novtryananda M.S Ghunu et al.· Mendeley Data· 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.