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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 ↗5525 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.
- Hacker News · Posted on Hacker News · First archived
Improving OpenAI's bound on the exact discrete Fourier transform below n log n ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Using evals to cut AI errors 7x ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Anthropic may start banning people for bullying Claude ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Scale AI cut 89 tasks from SWE-Bench Pro after an audit found gaming ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
OpenAI's annualized revenue $20B lower than prior investor estimates ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Visa Releases Its AI-Powered Cyber Defense System to Open Source ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Edi Life OS – self-hosted life dashboard with an MCP server for AI ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Integrated Feasibility Assessment of Edge, Cloud, and Hybrid AI-as-a-Service Architectures for Face Recognition ↗
Deploying face recognition as a service requires evidence beyond recognition accuracy because architecture affects latency, scalability, cost, and biometric-data exposure. This study evaluates Edge, Cloud, and Hybrid architectures through an integrated technical, techno-economic, and regulatory-readiness framework. EdgeCloudSim experiments modeled 100–500 connected devices using an infrastructure-level workload abstraction structurally mapped to published face-recognition pipelines, while explicitly distinguishing this abstraction from direct neural-inference benchmarking. The technical screen…
- OpenAlex · Published · First archived
Physics informed neural network framework for non-similar nano-heat and solutal transport in a rheological fluid over a stretching cylinder ↗
Accurate prediction of non-similar momentum, thermal and solutal transport phenomena in rheological fluids is crucial for the design and optimization of advanced thermal management systems, heat exchangers, polymer processing, chemical reactors, energy conversion devices and biomedical transport processes. Motivated by these engineering applications, this study presents a Physics-Informed Neural Network (PINN) framework for analyzing magnetohydrodynamic mixed convection flow of a Jeffrey fluid over a stretching horizontal cylinder embedded in a Darcy porous medium. The mathematical model incor…
- OpenAlex · Published · First archived
Automated detection of meteor trails in all sky images using Radon transformation and convolutional neural network ↗
We present an automated pipeline for detecting meteor trails in single-frame, half-minute-cadence all-sky images acquired by the Digital Autonomous Fireball Observatories (DAFO) network. Unlike existing approaches that rely either on handcrafted feature extraction or purely data-driven methods, the proposed system combines classical image processing techniques (Radon transformation and Fourier-transformation-based filtering) with a convolutional neural network (CNN) for robust classification of candidate trails. The method is specifically designed for fish-eye camera images and operates withou…
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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