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Want to learn probability & statistics visually? Check out Seeing Theory an interactive, browser‑based guide made to turn abstract concepts into intuitive visuals Explore basics like chance events, probability distributions, Bayesian inference & regression with interactive visualizations perfect for students, self‑learners, and data enthusiasts!

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Vaishnavi

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35,353 просмотров • 4 месяцев назад •via X (Twitter)

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Interactive learning proves to be the best way to learn! Seeing Theory by Brown University is a comprehensive guide to interactively learn Probability & Statistics! Check this out👇
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Interactive learning proves to be the best way to learn! Seeing Theory by Brown University is a comprehensive guide to interactively learn Probability & Statistics! Check this out👇

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Statistics is fundamentally important to excel as a Data Scientist! Interactive learning proves to be the best way to master it! "Seeing Theory" is a comprehensive guide to interactively learn Probability & Statistics! It's FREE, check this👇 🔗
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“This took less than an hour." Interactive 3D is becoming essential across industries - but for a lot of teams, it’s still out of reach. That’s why we built Unity Studio - an intuitive, web-based, no-code editor that helps teams across industries, from manufacturing to retail, turn existing 3D assets into interactive experiences, straight from the browser. Check out what it looks like to go from a static 3D file to a fully interactive demo in under an hour. 🔗 Try it out yourself with a free 30 day Unity Studio trial:
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We made an interactive client-server viewer for LagerNVS with Jonathon Luiten! You can now interactively explore scenes from just a photo capture - no optimization, no 3D Gaussians, just load your images, run the model on a cloud GPU and stream the renders to your local browser. Check out the video below for some spaces I recently captured in Oxford, London and beyond!
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TinyTap ABC brings storytime to life in a whole new way. Imagine your kids learning English while getting lost in interactive stories like '5 Little Rubber Duckies,' 'Ted's Surprise,' or going on letter sound adventures with 'Hop Likes to Jump.' These stories, made by teachers and publishers, turn children's storytime into active learning with diverse activities designed to teach them the foundations of the English language. Perfect for little learners who love to ask, 'One more story, please?' #Storytime #childrensbooks #interactivelearning #TinyTapABC #learnthroughplay #animocabrands #opencampus
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Lovis Odin

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10,346 просмотров • 8 месяцев назад

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Google AI

70,719 просмотров • 5 дней назад

The most important tool in Probability and Statistics - Markov Chain Monte Carlo (MCMC) Method Fresh out of undergraduate Probability and Stats courses, it’s easy to feel invincible. You’ve tamed Gaussians, gammas, betas, all those neat closed-form toy distributions. Then research hits and you meet the harsher truth. Real posteriors and energy landscapes are jagged, asymmetric, multimodal, and too high-dimensional to integrate or sample from directly. You can’t compute the normalising constant. You can’t do the integrals by hand. And i.i.d. samples are basically science fiction. Markov Chain Monte Carlo is the hack we invented to survive that reality. Instead of drawing perfect samples, you send a carefully designed random walk wandering through the landscape, then use its long-run positions as your window into the target distribution. Here’s the problem. Standard trace plots and diagnostics can still cheerfully lie to you. High-dimensional geometry can make a chain that looks healthy while it’s effectively frozen. Multimodal targets, bad tuning, and hidden correlations can quietly wreck your posterior summaries. This series is about those blind spots. We’ll use visuals like this one to show how MCMC actually moves, where the guarantees get slippery, and how to think clearly about convergence and diagnostics in serious Bayesian, physics, and ML work. #BayesianInference #MCMC #MonteCarloMethods #ProbabilityLandscape #StatisticsEducation #ComputationalScience
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The most important tool in Probability and Statistics - Markov Chain Monte Carlo (MCMC) Method Fresh out of undergraduate Probability and Stats courses, it’s easy to feel invincible. You’ve tamed Gaussians, gammas, betas, all those neat closed-form toy distributions. Then research hits and you meet the harsher truth. Real posteriors and energy landscapes are jagged, asymmetric, multimodal, and too high-dimensional to integrate or sample from directly. You can’t compute the normalising constant. You can’t do the integrals by hand. And i.i.d. samples are basically science fiction. Markov Chain Monte Carlo is the hack we invented to survive that reality. Instead of drawing perfect samples, you send a carefully designed random walk wandering through the landscape, then use its long-run positions as your window into the target distribution. Here’s the problem. Standard trace plots and diagnostics can still cheerfully lie to you. High-dimensional geometry can make a chain that looks healthy while it’s effectively frozen. Multimodal targets, bad tuning, and hidden correlations can quietly wreck your posterior summaries. This series is about those blind spots. We’ll use visuals like this one to show how MCMC actually moves, where the guarantees get slippery, and how to think clearly about convergence and diagnostics in serious Bayesian, physics, and ML work. #BayesianInference #MCMC #MonteCarloMethods #ProbabilityLandscape #StatisticsEducation #ComputationalScience

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🚀 Let’s explore the exciting features of DAOPEOPLE app! 🌐 PROJECTS & COMMUNITIES: Dive into a comprehensive technology overview, featuring pages of diverse communities and crypto projects. Get complete information about projects, teams, partners, and manage communities seamlessly. Of course, as a user, you'll also be able to independently post your projects in the section and create communities. 💎 DAOPEOPLE NFT: Discover our exclusive NFT collection designed to offer extra benefits to users and supporters. With multiple tiers, the higher your level, the greater your rewards! Keep your NFTs in the Mining Pool for additional token rewards and a percentage booster in the D&E section. Don't miss the opportunity to add our unique NFTs featuring the Posi platypus to your collection! 🔒 NFT MARKETPLACE: Safely buy or sell NFTs through our app, fully integrated with Trust Wallet for a smooth and secure experience. 🤝 BUSINESS MATCHING: Connect with interesting people from the crypto world. Whether you're at an event or searching for a new team member or partner, use our filters to find the perfect match based on location, projects, roles, and more. 💼 D&E: Discover opportunities to earn money in Web3 and access business tools. Our review, rating, and verification system ensures protection from scammers. Get paid in crypto upon task completion and track your workers' progress effortlessly. 🎉 EVENTS & INTERACTIVE MAP: Stay updated on upcoming events, both real and online, with our interactive live map. Additionally, you can see where other users are located in real-time. Never miss out on the crypto party! 🔥 Experience our stylish, user-friendly, and intuitive interface that makes navigating our app a breeze. Don't miss out on the chance to revolutionize your crypto experience with our app! Join us now. 🚀 APRIL 20th— app launching! Don't miss it!
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We are thrilled to share that our first paper from my new lab, Spateo ( for spatiotemporal modeling of molecular holograms, is now online in Cell: Spateo is a comprehensive analytical framework for 3D whole-embryo spatiotemporal modeling. Its advanced features include: • 3D alignment and reconstruction at the whole-mouse-embryo scale (see the animation). • 3D spatial domain digitization and cell-cell communication analysis to understand spatial gene expression gradients and both inter- and intracellular communication. • 3D morphometric and volumetric analyses along with 3D morphogenesis vector field modeling to quantify dynamics such as surface area, volume, and cell density across organs, and to dissect the interplay between morphogenesis factors and cell migration. • A “Google Earth”-like browser, Spateo-viewer ( and for interactive and intuitive exploration of 3D spatial data. • Additional features, such as RNA signal-based single-cell segmentation. We are also honored that Nature “News and Views” has highlighted this work as well: This is really an amazing outcome after two years' heroic revision process that rewrite the entire paper using a new data ( for whole mouse embryos.
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We are thrilled to share that our first paper from my new lab, Spateo ( for spatiotemporal modeling of molecular holograms, is now online in Cell: Spateo is a comprehensive analytical framework for 3D whole-embryo spatiotemporal modeling. Its advanced features include: • 3D alignment and reconstruction at the whole-mouse-embryo scale (see the animation). • 3D spatial domain digitization and cell-cell communication analysis to understand spatial gene expression gradients and both inter- and intracellular communication. • 3D morphometric and volumetric analyses along with 3D morphogenesis vector field modeling to quantify dynamics such as surface area, volume, and cell density across organs, and to dissect the interplay between morphogenesis factors and cell migration. • A “Google Earth”-like browser, Spateo-viewer ( and for interactive and intuitive exploration of 3D spatial data. • Additional features, such as RNA signal-based single-cell segmentation. We are also honored that Nature “News and Views” has highlighted this work as well: This is really an amazing outcome after two years' heroic revision process that rewrite the entire paper using a new data ( for whole mouse embryos.

evo-devo

58,343 просмотров • 1 год назад

Built a vibe-coded presentation app generator that turns natural language into polished slides ✨ This project by Jerry Liu combines the Claude Agent SDK with LlamaParse to create an AI-powered presentation tool that handles everything from content creation to PDF export: 🎯 Chat-based slide creation - just describe what you want and watch slides appear ✏️ Real-time editing through natural conversation - refine slides by chatting with the AI 📄 Smart document parsing with LlamaParse for incorporating reference materials 📊 Full export functionality to PowerPoint and PDF formats Perfect example of how LlamaParse makes document processing seamless while Claude's conversational abilities create an intuitive slide editing experience. Check out the full project:
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Built a vibe-coded presentation app generator that turns natural language into polished slides ✨ This project by Jerry Liu combines the Claude Agent SDK with LlamaParse to create an AI-powered presentation tool that handles everything from content creation to PDF export: 🎯 Chat-based slide creation - just describe what you want and watch slides appear ✏️ Real-time editing through natural conversation - refine slides by chatting with the AI 📄 Smart document parsing with LlamaParse for incorporating reference materials 📊 Full export functionality to PowerPoint and PDF formats Perfect example of how LlamaParse makes document processing seamless while Claude's conversational abilities create an intuitive slide editing experience. Check out the full project:

LlamaIndex 🦙

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Love and Deepspace

237,568 просмотров • 6 месяцев назад

This is a pretty wild model! You can use it to turn an image into a 3D object with texture. The quality is out of this world! I'm not even a designer, and I've been using this nonstop for the last 2 hours. The model is Hunyuan 3D 2.1. It's open source. You'll find model weights, training/inference code, data pipelines, and architecture on their repository. You can even fine-tune it if you want! GitHub Repository: By the way, the model runs on consumer-grade GPUs. You don't need a datacenter for this! I've been using the model from the HuggingFace demo page: To use it, go to the link and upload an image. That's it! Check out the video I recorded for a couple of examples.
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This is a pretty wild model! You can use it to turn an image into a 3D object with texture. The quality is out of this world! I'm not even a designer, and I've been using this nonstop for the last 2 hours. The model is Hunyuan 3D 2.1. It's open source. You'll find model weights, training/inference code, data pipelines, and architecture on their repository. You can even fine-tune it if you want! GitHub Repository: By the way, the model runs on consumer-grade GPUs. You don't need a datacenter for this! I've been using the model from the HuggingFace demo page: To use it, go to the link and upload an image. That's it! Check out the video I recorded for a couple of examples.

Santiago

44,783 просмотров • 1 год назад

Just sat down with Yev Marusenko, Yev Marusenko, from Sizzle AI—an edtech app with millions of users that’s rethinking how our kids (and we) learn in the AI era. 📱 Sizzle isn’t just “ChatGPT for homework.” It builds entire courses from your prompts—bite-sized, mobile, interactive. 💡 Why it matters: Instead of cheating with AI, this app leans into learning science, adaptive quizzes, and self-testing, which boosts memory and real understanding. 🧪 They’re testing models fast (mostly using Gemini at scale), but the real differentiation is in the pedagogy—less gamification dopamine, more brain growth. 🎯 Parents: It’s great for summer learning, SAT prep, or homeschool reinforcement. You type “Bio 101,” it makes the course. 📉 $9.99/month, geo-priced cheaper globally. 🔗 Check it out: Also love how they’re thinking about the tension between virality vs. value. As we all learn how to learn again, tools like this could be foundational.
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Just sat down with Yev Marusenko, Yev Marusenko, from Sizzle AI—an edtech app with millions of users that’s rethinking how our kids (and we) learn in the AI era. 📱 Sizzle isn’t just “ChatGPT for homework.” It builds entire courses from your prompts—bite-sized, mobile, interactive. 💡 Why it matters: Instead of cheating with AI, this app leans into learning science, adaptive quizzes, and self-testing, which boosts memory and real understanding. 🧪 They’re testing models fast (mostly using Gemini at scale), but the real differentiation is in the pedagogy—less gamification dopamine, more brain growth. 🎯 Parents: It’s great for summer learning, SAT prep, or homeschool reinforcement. You type “Bio 101,” it makes the course. 📉 $9.99/month, geo-priced cheaper globally. 🔗 Check it out: Also love how they’re thinking about the tension between virality vs. value. As we all learn how to learn again, tools like this could be foundational.

Robert Scoble

25,612 просмотров • 1 год назад

Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:
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Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

Atai Barkai

11,997 просмотров • 5 месяцев назад

🔥🚀🤖ELON MUSK ON SENDING OPTIMUS ROBOTS TO MARS FIRST An early step in preparing the red planet for human arrival. “So the first flights there will send Optimus robots. We can go out there and explore, and kind of prepare the way for humans. That’ll be a very cool image if we’re able to achieve it… But that would be an epic picture to see Optimus walking around on the surface of Mars.” He's outlining a phased approach where robots handle initial risks and data collection. This minimizes human exposure to unknowns like landing challenges or environmental hazards. Why it matters: Starting with machines allows iterative improvements based on real Mars data, building confidence before crewed missions. It's a practical way to turn exploration into sustainable progress. Source: Elon Musk at SpaceX Starship Update, May 29, 2025 — Topic: Path to Mars
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🔥🚀🤖ELON MUSK ON SENDING OPTIMUS ROBOTS TO MARS FIRST An early step in preparing the red planet for human arrival. “So the first flights there will send Optimus robots. We can go out there and explore, and kind of prepare the way for humans. That’ll be a very cool image if we’re able to achieve it… But that would be an epic picture to see Optimus walking around on the surface of Mars.” He's outlining a phased approach where robots handle initial risks and data collection. This minimizes human exposure to unknowns like landing challenges or environmental hazards. Why it matters: Starting with machines allows iterative improvements based on real Mars data, building confidence before crewed missions. It's a practical way to turn exploration into sustainable progress. Source: Elon Musk at SpaceX Starship Update, May 29, 2025 — Topic: Path to Mars

Lacey

42,129 просмотров • 6 месяцев назад