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journals/2022_11_21.md

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- [Effects of PowerPoint slides on attendance and learning: If you share it, they will (still) come](https://psycnet.apa.org/record/2021-35620-001)
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- [[PowerPoint]], [[Should I share my slides or notes with students]], [[Attendance]], [[Learning]]
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- [What happens to memory for lecture content when students take photos of the lecture slides?](https://psycnet.apa.org/doiLanding?doi=10.1037%2Fmac0000069)
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- [[Photo]], [[Notes]], [[Should I share my slides or notes with students]], [[Memory]]
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- [[Photo]], [[Should I share my slides or notes with students]], [[Memory]], [[Note-taking]]
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- [Install and Use Syncthing on Ubuntu](https://computingforgeeks.com/how-to-install-and-use-syncthing-on-ubuntu/)
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- [[Syncthing]], [[Ubuntu]]

journals/2025_09_09.md

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- [[Journaling]], [[ChatGPT]], [[Artificial intelligence in education]], [[Mental Health]], [[Therapy]]
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- [The 9 Best AI Journaling Apps in 2025](https://www.kangaroos.ai/blog/best-ai-journaling-apps/)
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- [a0.dev - Ship Mobile Apps to App Store & Google Play with AI](https://a0.dev/)
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- [[App development]], [[Code generation]], [[Vibe coding]]
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- [[App development]], [[Code generation]], [[Vibe coding]], [[Android]]
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- [catpuppyapp/PuppyGit: An android git client](https://github.com/catpuppyapp/PuppyGit?tab=readme-ov-file)
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- [[git]], [[Synchronization]], [[Android]], [[Obsidian]], [[Personal knowledge management]]
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- [PuppyGit Auto Sync Obsidian (Re-Rendered) | Patreon](https://www.patreon.com/posts/puppygit-auto-122757321)

journals/2025_09_15.md

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- [Creating the conditions for student success through curriculum reform: the impact of an active learning, immersive block model | Higher Education](https://link.springer.com/article/10.1007/s10734-024-01283-1)
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- [[Higher education reform]], [[Block scheduling]], [[Active learning]], [[Semester]], [[Alternative assessment]], [[Student retention]], [[DFWI rate]], [[Graduation rate]]
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- [The SCU Model - Southern Cross University](https://www.scu.edu.au/staff/teaching-and-learning/curriculum-development/the-scu-model/)
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- [The Block Plan - Colorado College](https://www.coloradocollege.edu/basics/blockplan/)
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- [Why the Southern Cross Model? How one University’s Curriculum was Transformed by Thomas Roche, Erica Wilson, Elizabeth Goode :: SSRN](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4029237)
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- [Lessons Learned from Institution-Wide Curriculum Reform: New and Transitioned Student Feedback on a Higher Education Immersive Block Model by Elizabeth Goode, Thomas Roche, Erica Wilson, Fiona Naumann, Wendy Boyd, John McKenzie :: SSRN](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4943575)
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- [The Impact of an Immersive Block Curriculum on Student Achievement and Feedback across Disciplines by Thomas Roche, Elizabeth Goode, Erica Wilson :: SSRN](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5215855)
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- [GenAI Policy Evolution at Southern Cross University (Practice Report) by Zachery Quince, Ruth Greenaway :: SSRN](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5330009)
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- https://needednowlt.substack.com/p/lets-stop-making-better-candles
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- [Read to Forget | Mo's Blog](https://mo42.bearblog.dev/read-to-forget/)
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- [[Reading]], [[Forget]], [[Memory]]
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- [A Workshop Toolkit for AI Exploration](https://aiedusimplified.substack.com/p/a-workshop-toolkit-for-ai-exploration)
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- [[Course policy]], [[Artificial intelligence in education]], [[Higher education policy]]
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- [I Ran Local LLMs on My Android Phone](https://itsfoss.com/android-on-device-ai/)
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- [[Local AI]], [[Android]]
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journals/2025_09_16.md

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- [15 Best Practices for Building MCP Servers in Production - The New Stack](https://thenewstack.io/15-best-practices-for-building-mcp-servers-in-production/?_hsmi=380663859)
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- [[Model context protocol]], [[AIOps]]
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- [How To Build Agentic AI That Ships - The New Stack](https://thenewstack.io/how-to-build-agentic-ai-that-ships/?_hsmi=380663859)
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- [[AI agents]], [[AIOps]]
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- [Strategic Vision: Educational Infrastructure for Intelligent Content](https://www.linkedin.com/pulse/strategic-vision-educational-infrastructure-content-robert-schwentker-sap1c/)
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- [[AI agents]], [[Prompt engineering]], [[Structured data]]
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- [ScoreWise AI – AI-Powered Assignment Grading](https://www.scorewise-ai.com/)
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- [[Grading]], [[Automated assessment]], [[Artificial intelligence in education]]
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- [How Math Teachers Are Making Decisions About Using AI | Stanford HAI](https://hai.stanford.edu/news/how-math-teachers-are-making-decisions-about-using-ai)
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- [[Mathematics education]], [[Technology adoption]], [[Faculty perception]], [[Faculty adoption]], [[Artificial intelligence in education]]
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- [Computational Language Analysis Reveals that Process-Oriented Thinking About Belonging Aids the College Transition - ai24-1033.pdf](https://edworkingpapers.com/sites/default/files/ai24-1033.pdf)
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- [[Sense of belonging]], [[Student Success]]
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- [[2508.15111v1] Systematic Review Of Collaborative Learning Activities For Promoting AI Literacy](https://arxiv.org/abs/2508.15111v1)
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- [[Collaborative learning]], [[AI literacy]], [[Systematic review]], [[ICAP framework]]
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- [[2508.14778v1] Analyzing Undergraduate Problem-Solving in Physics Through Interaction With an AI Chatbot](https://arxiv.org/abs/2508.14778v1)
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- [[Physics education]], [[Chatbot]], [[Conversation]], [[Dialogue]], [[Socratic method]], [[Artificial intelligence in education]], [[Student questions]], [[Question and answer]], [[Intelligent tutoring system]]
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- [[2508.19993v1] MathBuddy: A Multimodal System for Affective Math Tutoring](https://arxiv.org/abs/2508.19993v1)
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- [[Mathematics education]], [[Intelligent tutoring system]], [[Multimodal AI]], [[Artificial intelligence in education]], [[Affective]]
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- [GitHub - CleoChu/MathBuddy](https://github.com/CleoChu/MathBuddy?tab=readme-ov-file)
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- [Beyond tool use: Tracking the evolution of generative AI literacy among university students through a process-oriented investigation - ScienceDirect](https://www.sciencedirect.com/science/article/pii/S2666920X25001055/)
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- [[AI literacy]]
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- [Quickstart: Build an agent with the Agent Development Kit  |  Generative AI on Vertex AI  |  Google Cloud](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-development-kit/quickstart)
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- [[AI agents]], [[Google]], [[Gemini]]
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- [Building RAG systems at enterprise scale (20K+ docs): lessons from 10+ enterprise implementations : r/AI_Agents](https://www.reddit.com/r/AI_Agents/comments/1nbrm95/building_rag_systems_at_enterprise_scale_20k_docs/)
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- [[Retrieval augmented generation]], [[AI agents]], [[AIOps]]
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- [Intraplex - On-Prem AI Agents](https://intraplex.ai/)
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- [BoundaryML/baml: The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)](https://github.com/BoundaryML/baml)
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- [[Prompt engineering]], [[Schema]], [[Knowledge graph]], [[Structured data]], [[Retrieval augmented generation]], [[AIOps]]
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- [🏠 Welcome | Boundary Documentation](https://docs.boundaryml.com/home)
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- [Why we ditched embeddings for knowledge graphs (and why chunking is fundamentally broken) : r/LLMDevs](https://www.reddit.com/r/LLMDevs/comments/1n3iwrr/why_we_ditched_embeddings_for_knowledge_graphs/)
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- [a24z-ai/a24z-memory: Precision Context Engineering](https://github.com/a24z-ai/a24z-memory)
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- [[Memory]], [[Retrieval augmented generation]], [[Prompt engineering]]
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- [a24z - Precision Context Engineering Platform](https://www.a24z.ai/)
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- [GitHub - NirDiamant/RAG_Techniques: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.](https://github.com/NirDiamant/RAG_Techniques)
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- [[Retrieval augmented generation]]
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journals/2025_09_17.md

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- [Colleges Must Embed Career Purpose Throughout Student Journey, New Report Urges | Diverse: Issues In Higher Education](https://www.diverseeducation.com/students/article/15755476/colleges-must-embed-career-purpose-throughout-student-journey-new-report-urges)
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- [[Career development]], [[Career readiness]], [[Career placement]]
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- [College, On Purpose 2.0 - Complete College America](https://completecollege.org/resource/college-on-purpose-2-0/)
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- [How to fix the stubborn decline in math achievement | K-12 Dive](https://www.k12dive.com/news/student-math-decline-covid-math-wars-teacher-shortages-reform/760153/)
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- [[Mathematics education]], [[Education reform]], [[Contextualized learning]]
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- [[2509.09846] Using Oral Exams in Physics and Astronomy Courses](https://arxiv.org/abs/2509.09846)
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- [[Oral exam]], [[Physics education]]
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- [[2506.19662] Multimodal large language models and physics visual tasks: comparative analysis of performance and costs](https://arxiv.org/abs/2506.19662)
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- [[Multimodal AI]], [[Visual understanding]], [[Concept inventory]], [[Physics education]], [[Artificial intelligence in education]]
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- [[2509.08516] Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts](https://arxiv.org/abs/2509.08516)
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- [[Feedback]], [[Prompt engineering]], [[Student perception]], [[Physics education]], [[Artificial intelligence in education]]
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- [Storyboarder - The best and easiest way to storyboard. | Wonder Unit](https://wonderunit.com/storyboarder/)
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- [[Storyboard]]
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- [Tongyi DeepResearch: A New Era of Open-Source AI Researchers | Tongyi DeepResearch](https://tongyi-agent.github.io/blog/introducing-tongyi-deep-research/)
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- [[Deep research]], [[Open LLM]]
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- [Alibaba-NLP/DeepResearch: Tongyi DeepResearch, the Leading Open-source DeepResearch Agent](https://github.com/Alibaba-NLP/DeepResearch)
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- [Alibaba-NLP/Tongyi-DeepResearch-30B-A3B · Hugging Face](https://huggingface.co/Alibaba-NLP/Tongyi-DeepResearch-30B-A3B)
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- [Tongyi DeepResearch](https://tongyi-agent.github.io/showcase/)
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- [Orchids - The AI Fullstack Engineer](https://www.orchids.app/)
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- [[Code generation]], [[Vibe coding]]
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- [ai_augmented_textbook.pdf](https://services.google.com/fh/files/misc/ai_augmented_textbook.pdf)
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- [[Textbook]], [[Artificial intelligence in education]], [[Gemini]]
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- [Learn Your Way](https://learnyourway.withgoogle.com/)
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- [Visible Watermarking with Gradio](https://huggingface.co/blog/watermarking-with-gradio)
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- [[Image generation]], [[Copyright]], [[huggingface]], [[Artificial intelligence Ethics]], [[watermark]], [[QR code]]
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- [Watermark Demo - a Hugging Face Space by meg](https://huggingface.co/spaces/meg/watermark_demo)
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- [QR Code AI Art Generator - a Hugging Face Space by huggingface-projects](https://huggingface.co/spaces/huggingface-projects/QR-code-AI-art-generator)
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- [Chatbot Watermark Demo - a Hugging Face Space by meg](https://huggingface.co/spaces/meg/chatbot_watermark_demo)
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- [8 n8n Fundamentals That Will Make You Build Workflows Like a Pro (6 Months of Client Work Condensed) : r/n8n](https://www.reddit.com/r/n8n/comments/1nj0ncl/8_n8n_fundamentals_that_will_make_you_build/)
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- [[n8n]]
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- [GitHub - Goldziher/kreuzberg: Document intelligence framework for Python - Extract text, metadata, and structured data from PDFs, images, Office documents, and more. Built on Pandoc, PDFium, and Tesseract.](https://github.com/Goldziher/kreuzberg)
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- [[OCR]], [[PDF]], [[Python]], [[Structured data]], [[Retrieval augmented generation]]
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- [Marker vs Docling for document ingestion in a RAG stack: looking for real-world feedback : r/Rag](https://www.reddit.com/r/Rag/comments/1niaqzd/marker_vs_docling_for_document_ingestion_in_a_rag/)
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- [kuzudb/kuzu: Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.](https://github.com/kuzudb/kuzu)
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- [[Graph database]]
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- [Cognee - Graph Databases Explained: Better Way to Represent Connections](https://www.cognee.ai/blog/fundamentals/graph-databases-explained)
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- [FalkorDB/FalkorDB: A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).](https://github.com/FalkorDB/FalkorDB)
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- [[Graph database]], [[GraphRAG]]
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- [GitHub - trustgraph-ai/trustgraph: The agentic AI platform for enterprise. Built by data engineers for data engineers. Complete context engineering and LLM orchestration infrastructure. Run anywhere - local, cloud, or bare metal.](https://github.com/trustgraph-ai/trustgraph)
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- [[Graph database]], [[GraphRAG]]
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- [How Anthropic Is Reinventing RAG Systems with Contextual Retrieval - Skillenai](https://skillenai.com/competition-post/how-anthropic-is-reinventing-rag-systems-with-contextual-retrieval/)
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- [[Retrieval augmented generation]], [[Claude]]
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- [Cognee - Knowledge Graphs: Understand Misconceptions for Smarter Insights](https://www.cognee.ai/blog/fundamentals/knowledge-graph-myths)
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- [[Knowledge graph]]
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- [Wasm 3.0 Completed - WebAssembly](https://webassembly.org/news/2025-09-17-wasm-3.0/)
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- [[Webassembly]]
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- [Open Education: Getting Started Guide — opened.org](https://www.opened.org/resources/2025/engaging-with-open-education-a-practical-starting-guide-for-practitioners?ss_source=sscampaigns)
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- [[Open Education]]
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journals/2025_09_18.md

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- [IBM Granite-Docling: End-to-end document understanding | IBM](https://www.ibm.com/new/announcements/granite-docling-end-to-end-document-conversion)
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- [[OCR]], [[Visual understanding]], [[Open LLM]], [[huggingface]], [[Chart]], [[LaTeX]], [[PDF]], [[Markdown]], [[LaTeX]], [[langchain]], [[Question and answer]]
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- [ibm-granite/granite-docling-258M · Hugging Face](https://huggingface.co/ibm-granite/granite-docling-258M)
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- [granite-docling-258M demo - a Hugging Face Space by ibm-granite](https://huggingface.co/spaces/ibm-granite/granite-docling-258m-demo)
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- [Docling - Open Source Document Processing for AI](https://www.docling.ai/)
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- [Examples - Docling](https://docling-project.github.io/docling/examples/)
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- [ibm-granite/granite-vision-3.1-2b-preview · Hugging Face](https://huggingface.co/ibm-granite/granite-vision-3.1-2b-preview)
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- [Information extraction - Docling](https://docling-project.github.io/docling/examples/extraction/)
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- [Docling | Dosu](https://app.dosu.dev/097760a8-135e-4789-8234-90c8837d7f1c/ask)
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- [Document Question Answering with Granite | IBM](https://www.ibm.com/think/tutorials/build-document-question-answering-system-with-docling-and-granite)
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- [Haystack | Haystack](https://haystack.deepset.ai/)
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- [[AI agents]], [[AIOps]]
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- [Dosu | Your best engineers shouldn't Q&A all day.](https://dosu.dev/)
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- [[Documentation tool]], [[Chatbot]], [[Question and answer]]
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- [Explore Public Spaces | Dosu](https://app.dosu.dev/explore)
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- [TriliumNext/Trilium: Build your personal knowledge base with Trilium Notes](https://github.com/TriliumNext/Trilium?tab=readme-ov-file)
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- [[Personal knowledge management]], [[Self-hosted application]], [[Knowledge base]], [[Archive]], [[Documentation tool]]
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- [Trilium Notes Documentation](https://docs.triliumnotes.org/)
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- [Nriver/awesome-trilium: A collection of interesting Trilium Notes extensions. Including themes, widgets, scripts, API extensions, etc. Trilium插件合集](https://github.com/Nriver/awesome-trilium)
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- [How TriliumNext Revitalized an Abandoned Open Source Project with Dosu's Help](https://dosu.dev/blog/how-triliumnext-revitalized-an-abandoned-open-source-project-with-dosus-help)
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- What is multimodality? A deep dive on multimodality in Gemma 3 {{video https://youtube.com/watch?v=30Pme6UdUe0&si=VXMyvXnkhSx2qsCB}}
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- [[Multimodal AI]], [[Gemini]]
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- [Faculty Support for AI in Teaching & Learning – SUNY Digital Innovation and Academic Services](https://innovate.suny.edu/faculty-support-for-ai/)
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- [[Artificial intelligence in education]], [[Educational development]]
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- [Google DeepMind CEO says learning how to learn will be next generation's most needed skill - The Economic Times](https://economictimes.indiatimes.com/tech/technology/google-deepmind-ceo-says-learning-how-to-learn-will-be-next-generations-most-needed-skill/articleshow/123863847.cms?from=mdr)
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- [[Learning to learn]], [[Artificial intelligence in education]]
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- https://m.youtube.com/watch?v=YOEx5aL4fyo
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- [Welcome to Bitmagic](https://www.bitmagic.ai/)
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- [[Game development]], [[Vibe coding]], [[Code generation]]
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- [ScrapeGraphAI](https://scrapegraphai.com/)
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- [[Web scraping]]
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- [VidText AI -Video and Audio to Text Fast & Accurate.Free Ai Transcription Daily.](https://vidtext.ai/)
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- [[Caption]], [[Speech recognition]], [[Transcript]], [[Mind map]], [[Note-taking]], [[Youtube]]
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- [How to Quickly Record YouTube Videos on Any Device?](https://vidtext.ai/blog/how-to-record-youtube-video)
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- [Free Voice Cloning | Best voice cloning | No sign up](https://aiclonevoicefree.com/)
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- [[Audio]], [[Voice]], [[Voice cloning]], [[Audio generation]]
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- [The AI Know-It-All: Why NotebookLM Is the Best Tool for School, Work and Play - CNET](https://www.cnet.com/tech/services-and-software/the-ai-know-it-all-why-notebooklm-is-the-best-tool-for-school-work-and-play/)
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- [[NotebookLM]]
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- [[2509.13805] Towards a Physics Foundation Model](https://arxiv.org/abs/2509.13805)
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- [[Simulation]], [[LLM]], [[Physics]]
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- [Genesis](https://genesis-embodied-ai.github.io/)
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- [Prompt a built-in language model with the Prompt API - Microsoft Edge Developer documentation | Microsoft Learn](https://learn.microsoft.com/en-us/microsoft-edge/web-platform/prompt-api)
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- [[Local AI]], [[Edge]], [[Web browser]]
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- [Summarize, write, and rewrite text with the Writing Assistance APIs - Microsoft Edge Developer documentation | Microsoft Learn](https://learn.microsoft.com/en-us/microsoft-edge/web-platform/writing-assistance-apis)
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- [Handbook of Experiential Pedagogies](https://drive.google.com/file/d/1Rowu6WzltcHPvgpZe2CAUR8UbunN83SG/view?pli=1)
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- [[Experiential learning]]
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- [My Experiments with NotebookLM for Teaching  | Towards Data Science](https://towardsdatascience.com/my-experiments-with-notebooklm-for-teaching/)
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- [[NotebookLM]], [[Artificial intelligence in education]]
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