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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 ↗5919 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.
- GitHub · Repository created · First archived
athemeroy/awesome-claude-5-5-videos ↗
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
- Hacker News · Posted on Hacker News · First archived
OpenAI attacked Australia's health system and doubled down. Time to act ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Peter Thiel: The AI Crisis, Europe's Decline and the Battle for America [video] ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Unsupervised Machine Learning for Anomaly Detection in Beam Position Monitors Data ↗
Turn-by-turn beam position monitors (TbT-BPMs) are the primary diagnostic tool for optics measurement and correction in high-luminosity colliders. Reliable identification of faulty sensors is essential for any optics reconstruction pipeline, yet manual inspection does not scale to the hundreds of monitors in current rings or the thousands expected in future machines, such as the FCC. We apply two unsupervised machine-learning methods to TbT-BPM data from both rings of SuperKEKB: density-based spatial clustering of applications with noise (DBSCAN) with automatic feature selection via the Time2F…
- OpenAlex · Published · First archived
Reservoir Modeling Assisted with Knowledge-Enhanced Large Language Models ↗
Reservoir simulation is an important technique to characterize subsurface fluid flow and to support reservoir development and production optimization. Conventional reservoir modeling requires engineers to extract model-relevant information from heterogeneous data, organize the information into predefined formats, and generate simulator-specific input files through professional software. Constructing and iteratively updating such models can often take months of effort due to the high modeling complexity. Large language models (LLMs) offer a potential alternative by translating modeling requirem…
- OpenAlex · Published · First archived
Beyond Accuracy: Evaluating Evidence Grounding in Multimodal Large Language Models for Newspaper Understanding ↗
Although multimodal Large Language Models (LLMs) perform well on document question answering tasks, Answer Correctness, i.e., whether a model’s answer is correct with respect to the question, does not fully describe model behavior because it does not show whether answers are supported by relevant evidence. This paper presents a framework for multimodal document understanding that jointly evaluates Answer Correctness and Evidence Grounding, i.e., whether the evidence cited by the model alongside its answer is present, relevant and consistent with that answer. We evaluate two LLMs on an initial…
- OpenAlex · Published · First archived
Artificial intelligence use and its influence on academic learning behaviour among undergraduate students in Nigeria ↗
Artificial Intelligence (AI) is evolving rapidly across all aspects of life, particularly in educational institutions, where it is observed to impact the learning behaviours of students. Despite emerging literature on AI awareness, academic applications and adoption among undergraduate students, limited qualitative evidence exists on how Nigerian undergraduates experience AI use and perceive its influence on their academic learning behaviours. This study therefore examined AI use and its influence on academic learning behaviour among undergraduate students in Nigeria. The study is anchored on…
- OpenAlex · Published · First archived
CE-Agent: a cloud-edge collaborative agent framework with dynamic offloading and synergistic distillation ↗
Deploying Large Language Model (LLM) agents on edge devices is constrained by hardware memory. Pure cloud architectures resolve this memory limit but incur high latency, consume excessive network bandwidth, and expose sensitive local data. Static Small Language Models (SLMs) at the edge struggle with complex multi-step reasoning tasks. This paper proposes CE-Agent, a cloud-edge collaborative framework. It mitigates the inherent capability-resource dilemma in agentic systems. The framework implements an adaptive, in-process offloading router. It evaluates token generation entropy and local tool…
- OpenAlex · Published · First archived
Neural network thermal analysis of electromagnetic water and blood based nanofluids flow in a channel with suction ↗
In this paper, a Bayesian Regularization Artificial Neural Network (ANN-BR) assisted numerical investigation is conducted for two nanofluids flow through a suction channel including a magnetic field effect are developed. Three different nanoparticles, namely copper (Cu), aluminum oxide (Al₂O₃), and titanium oxide (TiO₂), dispersed in water and blood as base fluids, are considered. In this framework, we analyze the interplay of base fluid with nanoparticles, and represent the rate at which momentum and heat transfer between the two phases precisely. Next, the associated governing nonlinear equa…
- OpenAlex · Published · First archived
Flatfoot and artificial intelligence ↗
Flatfoot (pes planus) is common in children and adults. Although often asymptomatic, it may alter lower-limb biomechanics and contribute to pain or injury. Patients and caregivers increasingly use artificial intelligence chatbots such as chat generative pretrained transformer (ChatGPT) and Google Gemini for medical information, yet their responses on flatfoot remain insufficiently studied. This study compared the factual accuracy, added value, omissions, and readability of responses generated by ChatGPT and Google Gemini to standardized patient-oriented questions. In this cross-sectional compa…
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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