⚛ AtomGraph

🧵 THREAD: Why Web-Algebra isn’t just “another MCP tool suite” — it’s the missing execution layer for AI agents over Knowledge Graphs. x.com/atomgraphhq/st…

Ran git-of-theseus on 8.5 years of LinkedDataHub — 6181 commits. 38% of today's code was added in 2019 alone. From 2017 only 51 lines survive; from 2024, just 13. The PHP-based origins of this project go back as far as 2011: github.com/AtomGraph/Core…

The latest open source edition of our Virtuoso platform is now live! At its core, Virtuoso is a high-performance, secure, and highly scalable, multi-model database management system (DBMS) supporting both relational tables and fine-grained entity relationship graphs.

"Without context – a clear understanding of the specific relationships and rules within an organization’s data – AI agents cannot operate accurately and are far more likely to hallucinate, introduce bias and produce unreliable results." gartner.com/en/newsroom/pr…

Web-Algebra is now also available on @pypi 🎉 pypi.org/project/web-al… Build and execute declarative, composable semantic workflows in your Python project — or let an LLM do it 😊

Build knowledge graphs from unstructured text using Claude for entity extraction, relation mining, deduplication, and multi-hop graph querying. platform.claude.com/cookbook/capab…

🎙️ Join us on Wednesday morning for opening ceremony and keynote. - Who will win our startup pitch? Celebrate our KGC Learn graduates! - Who will win our Lifetime Award?

The seminal The Semantic Web article in @sciam by @timberners_lee @oralassila and @jahendler was published 25 years ago www-sop.inria.fr/acacia/cours/e…

Introducing NVIDIA Ising, the world’s first open AI models to accelerate the path to useful quantum computers. Researchers and enterprises can now use AI-powered workflows for scalable, high-performance quantum systems with quantum processor calibration capabilities and quantum error-correction decoding. Learn more: nvidianews.nvidia.com/news/nvidia-la…

English version: ipa.go.jp/en/digital/ope…

Japan's @IPAjp proposes Open Data Spaces: share data across organizations without centralizing it. Every domain pairs raw data with an #RDF ontology. #SPARQL federates queries across domains at runtime. LLM agents bridge vocabulary gaps between ontologies. x.com/IPAjp/status/2…

Stacked Diffs on @GitHub will start rolling out to early design partners in an alpha next month. In the meantime, here's video of our progress so far: (h/t for @georgebrock + team for their awesome work)

The code github.com/AtomGraph/3D-L…

Interactive 3D #LinkedData visualisation coming in the next LinkedDataHub version 😎 Declarative (XSLT 3.0 + IXSL) on top of a JS force layout. atomgraph.github.io/LinkedDataHub/

📣 Great news! Digital Science announces the acquisition of Ontopic - a pioneer in Virtual #KnowledgeGraph technology. @ontopicvkg This move enables Digital Science to drive innovation in enterprise-grade #AI solutions, transforming fragmented data into actionable knowledge. 🔗 See more: ow.ly/RunP50Yyy0B

Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing

We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓

📢 Reminder: ~1 month left until the abstract submission deadline! ⏳ Start preparing your submission and don’t miss out 🚀 iswc2026.semanticweb.org#/ #ISWC2026 #CallForPapers #SemanticWeb #KnowledgeGraphs #AI

Grafeo is a pure-Rust, high-performance graph database that can be embedded as a library or run as a standalone database, with optional in-memory or persistent storage. Grafeo supports both LPG and #RDF and all major query languages. grafeo.dev

The AI Scientist: Towards Fully Automated AI Research, Now Published in Nature Nature: nature.com/articles/s4158… Blog: sakana.ai/ai-scientist-n… When we first introduced The AI Scientist, we shared an ambitious vision of an agent powered by foundation models capable of executing the entire machine learning research lifecycle. From inventing ideas and writing code to executing experiments and drafting the manuscript, the system demonstrated that end-to-end automation of the scientific process is possible. Soon after, we shared a historic update: the improved AI Scientist-v2 produced the first fully AI-generated paper to pass a rigorous human peer-review process. Today, we are happy to announce that “The AI Scientist: Towards Fully Automated AI Research,” our paper describing all of this work, along with fresh new insights, has been published in @Nature! This Nature publication consolidates these milestones and details the underlying foundation model orchestration. It also introduces our Automated Reviewer, which matches human review judgments and actually exceeds standard inter-human agreement. Crucially, by using this reviewer to grade papers generated by different foundation models, we discovered a clear scaling law of science. As the underlying foundation models improve, the quality of the generated scientific papers increases correspondingly. This implies that as compute costs decrease and model capabilities continue to exponentially increase, future versions of The AI Scientist will be substantially more capable. Building upon our previous open-source releases (github.com/SakanaAI/AI-Sc…), this open-access Nature publication comprehensively details our system's architecture, outlines several new scaling results, and discusses the promise and challenges of AI-generated science. This substantial milestone is the result of a close and fruitful collaboration between researchers at Sakana AI, the University of British Columbia (UBC) and the Vector Institute, and the University of Oxford. Congrats to the team! @_chris_lu_ @cong_ml @RobertTLange @_yutaroyamada @shengranhu @j_foerst @hardmaru @jeffclune