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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 ↗5966 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
Three-dimensional cementing displacement efficiency prediction based on domain-decomposed physics-informed neural network ↗
Efficient displacement of drilling fluid by cement slurry is essential for ensuring cementing quality, and accurate flow-field prediction is crucial for improving displacement efficiency. Although computational fluid dynamics (CFD) is widely used to investigate displacement mechanisms, high-fidelity three-dimensional simulations are computationally expensive and inefficient for rapid engineering prediction and optimization. In recent years, data-driven neural networks have attracted attention due to their high computational efficiency; however, they rely heavily on large datasets, are prone to…
- OpenAlex · Published · First archived
A trustworthy evidential transformer with linear fusion and Gram-matrix distillation for efficient optic disc and cup segmentation ↗
Accurate glaucoma screening relies on the vertical cup-to-disc ratio (VCDR), but automation remains challenging. A critical trade-off between computational efficiency, segmentation accuracy, and model trustworthiness hinders clinical deployment. Vision Transformers offer global context but suffer from quadratic complexity ( O ( N 2 ) ), while standard Convolutional Neural Networks lack explicit mechanisms for uncertainty quantification (UQ). To bridge this gap, we propose EviG-Former (Evidential Gram Transformer), a highly efficient student network trained via Teacher-Student distillation. Our…
- OpenAlex · Published · First archived
Criminal responsibility in black-box AI crime: Re-interpretation of foreseeability and inspirations for Canadian AI regulations ↗
Perpetrators using artificial intelligence (AI) to commit crime challenge the traditional criminal liability framework centred on foreseeability. This article argues that such a challenge is particularly acute in AI systems with black-box algorithms: perpetrators may exploit the lack of algorithmic transparency to claim they could not anticipate AI's output, thereby avoiding liability for criminal consequences, exceeding their mens rea . To circumvent the issue, this article adopts a novel knowledge-based approach to reinterpret the notion of foreseeability, and distinguishes between strict an…
- OpenAlex · Published · First archived
AI SKILLGAP NAVIGATOR: AN AI-BASED CAREER GUIDANCE AND SKILL GAP ANALYSIS SYSTEM ↗
AI SkillGap Navigator is an intelligent career guidance system designed to identify skill gaps and improve career readiness by analyzing resumes and comparing extracted skills with job-role requirements. The system uses Natural Language Processing (NLP) techniques for resume text extraction and skill identification, followed by skill-gap analysis and personalized career and learning recommendations. The proposed system aims to help students and job seekers understand their current skill levels, identify missing skills, and follow suitable learning paths for their desired career roles.
- OpenAlex · Published · First archived
Preservice Early Childhood Teachers’ AI Literacy and Self-Efficacy in a Structured “Vibe Coding” Design Task: An Exploratory Pre–Post Study ↗
This exploratory study examined a structured Vibe Coding task in preservice early childhood teacher education and its association with self-reported AI literacy, self-efficacy, attitudes toward AI, and technology acceptance. Vibe Coding was used in a qualified sense: participants created educational applications through natural-language prompting, then reviewed and revised the outputs. The task was implemented in two undergraduate courses using a convergent mixed-methods, single-group pre–post design without a comparison group. Quantitative analysis included 32 matched cases, while qualitative…
- OpenAlex · Published · First archived
Mixtures of Neural Network Experts With Application to Phytoplankton Flow Cytometry Data ↗
ABSTRACT Flow cytometry is a valuable technique that measures the optical properties of particles at a single‐cell resolution. When deployed in the ocean, flow cytometry allows oceanographers to study different types of photosynthetic microbes called phytoplankton. It is of great interest to study how phytoplankton properties change in response to environmental conditions. In our work, we develop a nonlinear mixture of experts model to estimate separate regression functions for each subpopulation utilizing random‐weight neural networks. Our model allows one to flexibly estimate how cell proper…
- Hacker News · Posted on Hacker News · First archived
"can't a guy walk down the street anymore without being harassed by AI" [video] ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
What reversing, modernising old games tells us about the economic impact of AI ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Claude Deleted 48k Files ↗
Hacker News discussion.
- GitHub · Repository created · First archived
marcreichel/laya-php ↗
Classify text in PHP without an LLM bill: typed decisions in 100+ languages, self-hosted. Laravel-ready SDK for Laya, a Jev AI alternative.
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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