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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 ↗5969 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
Nonlinear Dynamic Analysis of Oscillatory Behavior of Graphene Nano/Microelectromechanical System Using a Hybrid Morlet Wavelet Neural Network Framework ↗
The Nano/microelectromechanical systems (N/MEMS), particularly graphene-based devices, exhibit highly nonlinear and oscillatory dynamic behavior that is complicated to solve accurately utilizing the conventional numerical and theoretical approaches. This study aims to design an advanced and efficient computational framework to analyze the dynamic response of graphene N/MEMS systems. In this paper, a hybrid morlet wavelet neural network (MWNN) algorithm is proposed to approximate the solution of the governing nonlinear model. The Morlet wavelet-based activation function is employed due to its s…
- OpenAlex · Published · First archived
Mapping generative AI governance readiness in Kurdistan Region universities ↗
Abstract Generative artificial intelligence (GenAI) is reshaping higher education by challenging established ideas of plagiarism, authorship, academic integrity, assessment, disclosure, digital literacy, and institutional responsibility. Many universities already have plagiarism or academic-misconduct policies, but these policies may not be sufficient for guiding the educational use of tools such as ChatGPT and other GenAI systems. This study examines public-facing GenAI readiness across a 30-university audit sample in the Kurdistan Region of Iraq. Using website-based document analysis, it ass…
- OpenAlex · Published · First archived
Quality optimization with low positive factual hallucination for the HPI in hyperthyroidism admission notes using multi agent LLM with RAG ↗
Admission note quality affects clinical safety and research reliability, yet resident drafts often suffer from missing information, unclear logic, and other issues, requiring time-consuming manual review. Current large language models (LLMs) focus on text generation or formatting correction but rarely optimize clinical logic or mitigate hallucinations in specialized notes. We developed HQ-ANR (High-Quality Admission Note Refinement), a hyperthyroidism-specific quality-control model that integrates multi-agent collaboration with diagnosis-driven retrieval-augmented generation (RAG) to optimize…
- OpenAlex · Published · First archived
Knowledge Based AI Technologies ↗
Heuristic algorithms are often used in self-driving autonomous cars to determine the shortest distance or optimal path from one point to another (Braik, et. al, 2021, p. 2524). Heuristics are problem-solving methods that use practical approaches and shortcuts to produce solutions that may not be perfect but are sufficient for reaching an immediate goal. In the context of pathfinding, heuristics help in estimating the shortest or most efficient route. Designing an intelligent autonomous car to drive from New York to Boston involves creating effective heuristics to ensure the route chosen minimi…
- OpenAlex · Published · First archived
Interface-controlled phase stability in polymorphic HfO2 revealed by machine-learning atomistic simulations ↗
HfO 2 exhibits rich polymorphism, and competition among different phases underpins many of its functional properties. Yet bulk free-energy relations alone cannot explain phase selection at mixed-phase boundaries, where interface orientation and structural continuity constrain collective rearrangements. Here, using machine-learning atomistic simulations and a Hf-centered local phase classification scheme, we show that crystallographic interface matching redirects phase competition and accessible transformation pathways. The M(100)/T(100) interface remains pinned as an M/T mixture throughout 3 n…
- OpenAlex · Published · First archived
Reliability of machine learning methods for prediction of critical heat flux: an OECD/NEA benchmark study ↗
Abstract Critical heat flux (CHF) prediction is a primary thermal-hydraulic requirement for water-cooled reactors. Machine-learning studies on the OECD/NEA Phase-1 benchmark report high in-distribution accuracy, but reliability under distribution shift is poorly characterised. Four model families (random forest, XGBoost, multi-layer perceptron, Bayesian neural network) are evaluated under three protocols: random in-distribution testing (S1), cross-source validation on 10 unseen facilities (S2), and extrapolation above 16 MPa (S3). Reliability is assessed through accuracy, conformal coverage an…
- OpenAlex · Published · First archived
Human-like content analysis for generative AI with language-grounded sparse encoders ↗
The rapid development of generative AI has transformed content creation, communication, and human development. However, this technology raises profound concerns in high-stakes domains, demanding rigorous methods to analyze and evaluate AI-generated content. While existing analytic methods often treat images as indivisible wholes, real-world AI failures generally manifest as specific visual patterns that can evade holistic detection and suit more granular and decomposed analysis. Here we introduce a content analysis tool, Language-Grounded Sparse Encoders (LanSE), which decomposes images into i…
- Hacker News · Posted on Hacker News · First archived
South Korea says AI agents appear to have been used to hack the country's banks ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
OpenAI releases 722 math manuscripts ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
OpenAI just dropped 700 preprints of mathematical proofs and counterexamples ↗
Hacker News discussion.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
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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