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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.
- OpenAlex · Published · First archived
Multi-objective optimization algorithms for intrusion detection systems in IoT: a systematic review and future research directions ↗
With the increasing use of the Internet, massive amounts of data are transferred between various communication devices. Network security is a critical area of research in today’s network environment, as data must be transmitted securely between connected devices. The digital revolution and the expansion of operations have amplified the importance of intrusion detection systems (IDSs) in networks. Numerous research concepts have been proposed that utilize swarm algorithms, evolutionary algorithms, deep learning, and machine learning techniques in the field of IDSs. IDSs must be chosen among sev…
- GitHub · Repository created · First archived
ceyyy427/financial-research-optimizer ↗
Auditable, point-in-time financial research workflow for data lineage, model validation, backtest diagnostics, and constrained portfolio analysis.
- GitHub · Repository created · First archived
lupingQAQ/ntobjmanager-mcp ↗
A Model Context Protocol (MCP) server that gives AI agents live, stateful Windows RPC attack-surface research, built on James Forshaw's NtObjectManager (NtCoreLib).
- GitHub · Repository created · First archived
michaelswissa/jevry ↗
Your browser. Ready to act. An MIT-licensed desktop browser agent for website tasks, cited research, and supported games.
- Hacker News · Posted on Hacker News · First archived
Don't we require emotions for doing research? ↗
I was under the impression that for doing any research we humans require emotions which AI truly lacks. But with how AI going autonomously I fail to understand how that could be even possible without emotions. Are AI really curious to do something on its own? I am not an AI critic but fail to understand this nuance of not being emotional and doing deep research beating highly emotional human researchers on their field. How is this even possible b…
- GitHub · Repository created · First archived
Justinuse1/pojia-breaker ↗
Chinese-first LLM jailbreak benchmark & red-team toolkit | 中文LLM安全评测框架 | by POJIA.AI
- GitHub · Repository created · First archived
Eliot5566/JEV-Paper-Radar ↗
Let Jev read every new arXiv paper each morning and surface the few you should read. Plain-English interests, calibrated probabilities, ~$0.06/day, fork and go.
- GitHub · Repository created · First archived
heranliu/AlphaResearchOS ↗
Agentic quant research workbench with CSV imports, local Codex, predictive models, independent reviews, optional Jev checks, and reproducible strategy benchmarks.
- GitHub · Repository created · First archived
Shanghua-Gao/RSI-Jev ↗
Typed-decision models (noul / choice / score) trained by a self-improving loop of AI agents — checkpoints, the code that produced them, and every version that failed.
- GitHub · Repository created · First archived
1612535983/deepresearchagent ↗
Recoverable and auditable deep-research agent built with LangGraph. It plans research, searches the web, manages evidence and context, resumes interrupted runs, and generates cited reports—also designed as a learning reference for AI Agent enthusiasts.
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.