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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 ↗5934 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
A causal machine learning framework for treatment personalization in clinical trials: application to ulcerative colitis ↗
Randomized controlled trials estimate average treatment effects, but treatment-response heterogeneity motivates personalized approaches that identify which patients benefit most from specific interventions. Causal machine learning methods offer a principled framework for estimating heterogeneous treatment effects and evaluating individualized treatment policies, yet their application to clinical trial data requires careful attention to the distinction between statistically detectable heterogeneity and improvements in decision performance. We present a causal machine learning framework that com…
- OpenAlex · Published · First archived
LLM4MG: adapting large language model for multipath generation via synesthesia of machines ↗
Based on Synesthesia of Machines (SoM), a large language model (LLM) is adapted for multipath generation (LLM4MG) for the first time. Considering a sixth-generation (6G) vehicle-to-infrastructure (V2I) scenario, a new multi-modal sensing-communication dataset is constructed, named SynthSoM-V2I. Based on the SynthSoM-V2I dataset, the proposed LLM4MG leverages Large Language Model Meta AI (LLaMA) 3.2 for multipath generation via multi-modal sensory data. The proposed LLM4MG aligns the multi-modal feature space with the LLaMA semantic space through feature extraction and fusion networks. To achie…
- OpenAlex · Published · First archived
AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages ↗
Responsible AI (RAI) efforts increasingly emphasize the importance of addressing potential harms early in the AI development lifecycle through social-technical lenses. However, in cross-functional industry teams, this work is often stalled by a persistent coordination challenge: how technical roles hand off technical intent, how teams establish shared structures for collaboration, and how non-technical roles are supported in systematically evaluating harms. Through literature review and a semi-structured interview study with 8 practitioners, we unpack how this challenge manifests—technical des…
- OpenAlex · Published · First archived
Quantum-inspired machine learning: a survey ↗
Quantum-inspired Machine Learning (QiML) is a burgeoning field, receiving global attention from researchers for its potential to leverage principles of quantum mechanics within classical computational frameworks. However, current review literature often presents a superficial exploration of QiML, focusing instead on the broader Quantum Machine Learning (QML) field. In response to this gap, this survey provides an integrated and comprehensive examination of QiML, exploring QiML's diverse research domains including tensor network simulations, dequantized algorithms, and others, showcasing recent…
- GitHub · Repository created · First archived
aliceisjustplaying/claude-paint ↗
Teaching claudes to paint
- GitHub · Repository created · First archived
timoncool/YuE2-Studio ↗
Local AI song generator with an editable score — YuE2 on your GPU: full songs with vocals, sheet music, covers, exact replay. Native Windows app, no Python, installer with auto-update.
- GitHub · Repository created · First archived
mvanhorn/agent-tincan ↗
Let your AI agents ask each other for help, over Tailscale. Wherever they run.
- GitHub · Repository created · First archived
cagridursun/agentic-developer-handbook ↗
Java-first open-source handbook for understanding and building agentic systems, one concept at a time.
- GitHub · Repository created · First archived
roboto-ai/roboto-physical-ai-actions ↗
Roboto actions for physical AI: curate and audit robotics data, convert it to LeRobot (v2.1, v3.0) datasets, merge, up- and down-convert them
- GitHub · Repository created · First archived
codelovingcat/AI-Powered-Real-Time-Conversation-Assistant ↗
Listen. Understand. Respond.
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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