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Earlier sources: Artificial Intelligence
Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗5234 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
AI literacy and STEM education: emerging frontiers and research priorities ↗
Abstract This article examines the state of the art in AI literacy and STEM education and identifies emerging frontiers and research priorities to inspire cutting-edge empirical and theoretical research. The reviewed research is grounded in established AI literacy frameworks and shows that there is potential for students’ development of a critical and technologically informed AI literacy. However, the research is unevenly spread across the STEM disciplines and the potential for AI to transform STEM learning remains unclear. Thus, while the field has expanded rapidly, particularly with the emer…
- OpenAlex · Published · First archived
Design and Experimental Validation of an Embedded Edge Artificial Intelligence Camera System for Real-Time Intelligent Vision ↗
This study presents the design and experimental validation of an embedded edge artificial intelligence (AI) camera system for intelligent vision applications. The developed system integrates a multicore edge computing processor and a dedicated AI engine into a compact smart camera platform, enabling on-device image processing, intelligent recognition, and localized decision-making. The hardware implementation incorporates circuit design, impedance-controlled high-speed signal routing, and printed circuit board (PCB) stack-up design. The signal integrity of the MIPI Display Serial Interface (MI…
- OpenAlex · Published · First archived
AI and I—Distributed Authorships in the Swedish Upper Secondary Writing Classroom ↗
Abstract This paper examines upper secondary students’ writing with Generative Artificial Intelligence (GenAI) through a post-structural lens. The aim is to explore how authorship can be understood and described in the age of AI. The empirical material consists of three students’ recorded writing sessions and complementary interviews. Through rhizomatic mapping, the recordings are analyzed with Deleuze and Guattari’s notions of assemblage, affect and becoming, further extended through the concept of distributed authorship. The analyses map three dynamic assemblages in which writing and authors…
- OpenAlex · Published · First archived
Exploring trust in artificial intelligence in a problem-based computer programming course ↗
Generative artificial intelligence is increasingly used in programming education, but evidence concerning its relationship with achievement and learner trust remains limited in Nigerian higher education. This mixed-methods, quasi-experimental study examined whether integrating Google Gemini into problem-based learning (PBL) was associated with undergraduate students’ programming achievement and trust in AI. Sixty-two students from intact classes participated in a pre-test–post-test design: 29 received Gemini-enhanced PBL, and 33 received PBL without AI. Programming achievement and multidimensi…
- OpenAlex · Published · First archived
Adaptive Precision Nutrition: Integrating Dynamic Phenotyping, Multi-Omics, Artificial Intelligence, and the Allostatic Viability Principle ↗
Precision nutrition increasingly combines functional foods, multi-omics, digital phenotyping, and artificial intelligence, yet the incremental decision value of additional data layers remains uncertain. This critical narrative review and hypothesis-generating conceptual proposal examines evidence on personalized nutrition, dynamic response phenotyping, functional-food heterogeneity, multi-omics integration, and AI-supported decisions. Personalized advice can improve dietary behavior and selected cardiometabolic outcomes, whereas the additional clinical benefit attributable specifically to elab…
- OpenAlex · Published · First archived
DEVELOPING STUDENTS' INFORMATION SECURITY COMPETENCE IN THE AGE OF GENERATIVE AI: A QUASI-EXPERIMENTAL STUDY IN UZBEK HIGHER EDUCATION ↗
Generative AI tools are now part of students' everyday academic work, but the information security risks involved are rarely covered in curricula. Students leak their own and other people's data into external systems, rely on fabricated output and fall for AI-enhanced social engineering. This paper reports a quasi-experimental study of a pedagogical model designed to develop students' information security competence in the context of AI tools. The model is based on a pedagogical classification of AI related threats into four groups (input data, output, access and account, cognitive-behavioural…
- OpenAlex · Published · First archived
Enhancing Core Writing Skills in Senior High School Through Artificial Intelligence-Based Activities ↗
This study evaluated the writing proficiency of Senior High School (SHS) students using modified Common European Framework of Reference for Languages (CEFR) descriptors and examined how AI platforms (Grammarly, QuillBot, and Scribbr) affect student writing in terms of context retention (preserving original intent/voice) and context modification (structural/stylistic alterations). Utilizing a descriptive research design with sentence-level comparative text analysis, unassisted student writings from 40 Grade 12 learners across two distinct tasks (expository/narrative and expressive/personal) wer…
- OpenAlex · Published · First archived
Exploring the moderating effects of flow experience in strengthening artificial intelligence-based customer interactions on social commerce ↗
Purpose This study aims to investigate the effect of utilizing artificial intelligence (AI) in social commerce on increasing consumer engagement, specifically in terms of engagement and conversion rates. It also examines the role of flow experience in strengthening this relationship. Design/methodology/approach This study collected data from 354 Indonesian social commerce shoppers. Covariance based Structural Equation Modeling was employed to analyze the data following the two-stage procedure. First, the measurement model was assessed for validity and reliability. Second, the structural hypoth…
- OpenAlex · Published · First archived
Energy management optimization algorithm for data center microgrids based on solid-state transformers ↗
The proliferation of hyperscale data centers, together with tightening carbon-neutrality targets, exposes the limits of the line-frequency transformer (LFT) that still dominates data-center power distribution and motivates a fresh look at the conversion and dispatch layer. This paper develops an energy management framework for a data-center microgrid whose grid interface is a three-stage solid-state transformer (SST), so that renewable, storage, and IT loads sit on independently regulated AC and DC ports rather than behind a passive iron core. A multi-objective mixed-integer nonlinear program…
- OpenAlex · Published · First archived
AI Literacy, Attitudes and Perceived Technological Competence as Correlates of Pre-Service Teachers’ Beliefs About the Professional Relevance of AI: A Latent Mediation Analysis for Sustainable Teacher Education ↗
Preparing pre-service teachers to use artificial intelligence (AI) critically and equitably is part of the quality-education agenda of Sustainable Development Goal 4. Within a framework informed by the theory of planned behaviour, this study examined how AI literacy is associated with pre-service teachers’ belief that AI will play an important role in the teaching profession, and whether a gender difference in this belief runs through attitudes and perceived technological competence. Data from 493 pre-service teachers at one Turkish faculty were analysed with a latent structural equation model…
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How to assess evidence about Artificial Intelligence
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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