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Earlier sources: AI research
AI research investigates learning algorithms, model behavior, evaluation, and the limits of intelligent systems. Follow original papers and research artifacts; preprints may change and are not necessarily peer reviewed.
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 ↗47 classified signals in the fourteen-day window. 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.
- Hacker News · Posted on Hacker News · First archived
Tracking vulnerabilities that credit the Anthropic research team ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
New AI Research Has Me Asking: Am I Being Mean to AI? ↗
Hacker News discussion.
- GitHub · Repository created · First archived
jiwoochris/artex-ko ↗
ARTEX 한국어판 · AI 자율 침투 테스트 프레임워크(upstream: Autumn-27/ARTEX, AGPL-3.0)
- GitHub · Repository created · First archived
amos689/paper-preflight ↗
Pre-submission integrity gate for LaTeX papers: every reference verified against real scholarly records. No LLM guessing.
- arXiv · Published · First archived
Bridging Research and Practice: A Systematic Evaluation of Generalist and Dermatology-Specific Models in Clinical Skin Lesion Classification ↗
The application of machine learning to dermatology has grown substantially in recent years, moving beyond proof-of-concept studies toward potential applications. However, clinical dermatology remains a challenging and still open problem. Diagnostic assessment is often ambiguous, and skin lesions exhibit high variability, compounded by differences in acquisition modality, device quality, and patient demographics. These factors hinder the development of robust models suitable for safe and equitable clinical use. To support translation into practice, it is essential to systematically evaluate how…
- Europe PMC · Published · First archived
Prompt-as-a-Protocol with Agentic Research Automation: A Validated Methodology for AI-Native Biomedical Data Science Producing Peer-Reviewed Findings Across Genomics and Biosensor Domains ↗
Recent advances in large language model (LLM)-driven agentic systems have demonstrated capabilities for automating biomedical data analysis workflows. However, existing systems are predominantly validated on synthetic benchmarks or retrospective tasks, without demonstrated production of novel, peer-reviewed biological findings. Here we describe Prompt-as-a-Protocol (PaaP), a methodology that converts natural-language research questions into structured, executable analytical protocols, coupled with an agentic Generative Research Automation (GRA) layer that executes these protocols with integrat
- arXiv · Published · First archived
ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research ↗
What makes great scientists great? Even as AI systems start to make progress on open problems, scientists remain far ahead of them at sensing which prior idea, buried in an ever-growing archive of research, a new problem needs. To study this skill, we draw on researchers who know firsthand which earlier work advanced their completed projects, with papers serving as pointers to the ideas within. Using our automated pipeline that makes author annotation scalable, we build ScholarCatalyst by having 184 lead authors of 207 recent computer science papers label which candidates did or could have adv…
- Hacker News · Posted on Hacker News · First archived
AI research is dead, long live AI ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Game Theory Research on the Development and Promotion of Artificial Intelligence Teaching Platform Based on Multi-Participant University-Enterprise Collaboration ↗
With the deep integration of artificial intelligence and education, university-enterprise cooperation has become a key approach for the development and promotion of artificial intelligence (AI) teaching platforms. However, differences in the interests of various stakeholders lead to insufficient stability in cooperation. Therefore, based on evolutionary game theory, this study constructs a dynamic game model involving enterprises, universities, and teachers. By establishing a replicating dynamic equation, the equilibrium point is solved and its stability is analyzed. Numerical simulations are…
- Hacker News · Posted on Hacker News · First archived
The Download: OpenAI's chief research officer explains its hacking response ↗
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 AI research
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.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.