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Source channel @githubtrending · Post #15518 · Feb 24

#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector

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#rust #ai #ai_ocr #attention_mechanism #gnn #gnn_model #gnns #graph #graph_neural_networks #llm_inference #low_latency #mincut #neo4j #ocr #onnx #vector #wasm

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ФГБУН Институт высокотемпературной электрохимии УрО РАН

@ihteubras · Post #691 · 11/06/2024, 04:46 PM

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🟣 2024 🟣 V. 11 🟣 Issue 4 🟣 Art. 202411411 🟣 Article 🟣 Опубликована новая статья 📜 Impact of calcium and copper co-doping on the oxygen transport of layered nickelates: a case study of Pr1.6Ca0.4Ni1–yCuyO4+δ and a comparative analysis 👩‍🎓👨‍🎓 V. Sadykov (https://orcid.org/0000-0003-2404-0325), N. Eremeev (https://orcid.org/0000-0002-3494-2771), E. Sadovskaya, T. Zhulanova (https://orcid.org/0000-0002-8009-4398), S. Pikalov (https://orcid.org/0000-0001-6292-0468), Y. Fedorova, E. Pikalova (https://orcid.org/0000-0001-8176-9417) 🏛 Federal Research Center Boreskov Institute of Catalysis SB RAS https://en.catalysis.ru 🏛 Institute of High-Temperature Electrochemistry UB RAS, https://ihte.ru 🏛 Ural Federal University, https://urfu.ru/en Institute of Metallurgy UB RAS, http://www.imeturan.ru 📚#SOFCs#SOECs#layered#nickelates#oxygen#transport#isotope#exchange 🔗https://doi.org/10.15826/chimtech.2024.11.4.11 https://journals.urfu.ru/index.php/chimtech/article/view/8073

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