Загрузка видео...

Не удалось загрузить видео

На главную

Creation Atria Dawn Preview can transform complex knowledge—people, spaces, events, and relationships—into intuitive, interactive digital experiences. From research and algorithms to cultural knowledge, Atria turns abstract information into spaces users can enter, explore, and understand. In the Dream of the Red Chamber demo, Atria reconstructs architecture, and spatial relationships...

39,524 просмотров • 5 дней назад •via X (Twitter)

Комментарии: 15

Фото профиля SableFox
SableFox5 дней назад

how do you handle spatial relationships when source text is vague or conflicting?

Фото профиля 섹트
섹트5 дней назад

Tldr spatial knowledge graphs

Фото профиля Lulu
Lulu5 дней назад

atria dawn preview looks crisp

Фото профиля Daniel K. Evans
Daniel K. Evans5 дней назад

Congrats on the launch team

Фото профиля Jacqueeee🙃
Jacqueeee🙃5 дней назад

Dream of the red chamber is a wild flex for a demo lol

Фото профиля papp
papp5 дней назад

lfg Atria team 🚀

Фото профиля Samar Khalid
Samar Khalid5 дней назад

Can users edit the reconstructed spaces manually after the algorithm generates them?

Фото профиля Atria ASI
Atria ASI5 дней назад

Yes! You can manually edit the scene and make adjustments as needed.

Фото профиля bipin kumar
bipin kumar5 дней назад

Converting text to spatial worlds

Фото профиля JasonC
JasonC5 дней назад

能进入、探索,不等于出事可控。每次实体创建/关系写入的权限、失败回滚和成本上限能一张表对齐吗?

Фото профиля Felix Arden
Felix Arden5 дней назад

reconstructing classic literature architecture in 3d is a pretty cool use case

Фото профиля Adrian Finch
Adrian Finch5 дней назад

Turning abstract info into enterable spaces sound cool on paper, what's the latency like?

Фото профиля Arjun
Arjun5 дней назад

Is this rendering real-time or pre-baked for the video?

Фото профиля Atria ASI
Atria ASI5 дней назад

The scene was generated from code written by Atria Dawn Preview, and then rendered in real time — it wasn’t pre-baked for the video.

Фото профиля Erik Olsen
Erik Olsen5 дней назад

thought this was just another spatial hype account until i saw the Red Chamber mapping. ok im listening

Похожие видео

Build better RAG by letting a team of agents extract and connect your reference materials into a knowledge graph. Our new short course, “Agentic Knowledge Graph Construction,” taught by Neo4j Innovation Lead Andreas Kollegger, shows you how. Knowledge graphs are an important way to store information accurately but they are a lot of work to build manually. In this course you’ll learn how to build a team of agents that turn data– in this case product reviews and invoices from suppliers–into structured graphs of entities and relationships for RAG. Learn how agents can automatically handle the time-consuming work of building graphs — extracting entities and relationships (e.g., Product "contains" Assembly, Part "supplied_by" Supplier, Customer review "mentions" Product), deduplicating them, fact-checking them, and committing them to a graph database — so your retrieval system can find right information to generate accurate output. For example, you can use agents to help trace customer complaints directly to specific suppliers, manufacturing processes, and product hierarchies, thus turning fragmented information into queryable business intelligence. Skills you’ll gain: - Build, store, and access knowledge graphs using the Neo4j graph database - Build multi-agent systems using Google’s Agent Development Kit (ADK) - Set up a loop of agentic workflows to propose and refine a graph schema through fact-checking - Connect agent-generated graphs of unstructured and structured data into a unified knowledge graph This course gets into the practicum of why knowledge graphs give more accurate information retrieval than vector search alone, especially for high-stakes applications where precision matters more than fuzzy similarity matching. Sign up here:

Andrew Ng

168,153 просмотров • 1 год назад

🚀 Get ready to be amazed! 🌐✨ Take a sneak peek into the future with MBD Financials' photorealistic metaverse! Our latest video showcases stunning buildings and real estate that will redefine the boundaries between the real world and the virtual world. Imagine owning a condo in the MBD Blvd. metaverse, a Real World Asset (RWA) that acts as a digital twin of real-world properties.These virtual spaces are available in AR and VR, providing immersive experiences like never before! Not only do they mirror their real-world counterparts, but they also open up a world of possibilities for side revenue. 💡 Use Cases: 1. Investment Opportunities: Own a digital condo and generate side revenue as businesses lease or purchase these spaces for their stores. 2. Virtual Events: Host conferences, meetings, and events in state-of-the-art virtual venues, reflecting the exact look and feel of their real-world locations. 3. Retail Spaces: Create virtual storefronts that are perfect replicas of real-world shops, attracting a global audience and expanding your market reach. 4. Educational Institutions: Build virtual campuses that mirror real-world universities where students can learn and interact in immersive environments. Dive into a world where digital real estate isn't just a concept but a revolution in commerce. Stay tuned as we bridge the gap between reality and the virtual realm, transforming the way we live, work, and invest. #MBDFinancials #Metaverse #DigitalRealEstate #RWA #DigitalTwins #AR #VR #InvestmentOpportunity #FutureOfCommerce #VirtualReality #DigitalTransformation #AI #Phygital #NFT #Marketplace #AmazonofWeb3 #web3 $mbd

MBD Financials

11,093 просмотров • 2 лет назад

PhD Students – How to easily understand a complex research topic? Meet Ponder – a tool for understanding complex research. 𝐇𝐨𝐰 𝐏𝐨𝐧𝐝𝐞𝐫 𝐰𝐨𝐫𝐤𝐬? 1. Go to and log in 2. Enter your research topic or research question 3. Ponder will start building a knowledge map 4. This knowledge map breaks down complex ideas into structured cards 𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐲𝐨𝐮 𝐝𝐨 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐬𝐞 𝐜𝐚𝐫𝐝𝐬? → You can add your own thoughts, questions, and insights. → Ask follow-up questions and deepen your exploration. → You can color the cards for better understanding → You can drag & organize them freely across the infinite canvas. 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐝𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐜𝐚𝐫𝐝𝐬? — You can search for relevant papers with built-in discovery. — Ponder will identify all relevant papers — You can then add or upload research papers — You can also attach papers to specific cards. 𝐀𝐟𝐭𝐞𝐫 𝐲𝐨𝐮𝐫 𝐩𝐨𝐧𝐝𝐞𝐫𝐢𝐧𝐠 𝐢𝐬 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝: ➟ You can change the view to document, browser, or full screen. ➟ You can also download your knowledge map as a PDF ➟ You can ask further questions and refine with Ponder’s Agent. 𝐖𝐡𝐚𝐭 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐭𝐡𝐢𝐬 𝐰𝐚𝐲 𝐢𝐬 𝟏𝟎𝐱 𝐛𝐞𝐭𝐭𝐞𝐫? ↳ It brings discovery and analysis of research into one workspace ↳ It makes ideas branch and evolve naturally, just like your brain ↳ It helps you to easily identify research gaps ↳ It connects knowledge from all sources such as papers and web ↳ It enables you to export knowledge as maps, reports, or data. ↳ Designed for PhD students & researchers, who think deeply. Try Ponder here: Anything you'd like to add?

Faheem Ullah

12,212 просмотров • 1 год назад