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The future by Niantic Spatial

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93,816 次观看 • 1 年前 •via X (Twitter)

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Niantic Scaniverse 4 brings splatting into the real world. What’s a splat? 🗺️The future of 3D photography 🌐The next step in spatial computing 🌎The key to build the world’s next great map together 🚀The background for your next Niantic Studio creation Read on:

Niantic Scaniverse 4 brings splatting into the real world. What’s a splat? 🗺️The future of 3D photography 🌐The next step in spatial computing 🌎The key to build the world’s next great map together 🚀The background for your next Niantic Studio creation Read on:

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⏳ It’s the beginning of a new era! 🎉 The Apple Vision Pro is now supported by Niantic @The8thWall’s Metaversal Deployment. 📰 Read on to see how devs can build rich spatial experiences, seamlessly across mobile devices and mixed reality headsets. 🔗

⏳ It’s the beginning of a new era! 🎉 The Apple Vision Pro is now supported by Niantic @The8thWall’s Metaversal Deployment. 📰 Read on to see how devs can build rich spatial experiences, seamlessly across mobile devices and mixed reality headsets. 🔗

Niantic Spatial 🌎

28,362 次观看 • 2 年前

Real World AI doesn’t fail because of models. It fails because it lacks context. Project Jade shows true spatial intelligence through an embodied AI experience on Snap Spectacles. 👓 Ready for the next AI wave? Niantic Spatial is already here. (1/4) 🔗

Real World AI doesn’t fail because of models. It fails because it lacks context. Project Jade shows true spatial intelligence through an embodied AI experience on Snap Spectacles. 👓 Ready for the next AI wave? Niantic Spatial is already here. (1/4) 🔗

Niantic Spatial 🌎

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“Do you know where a sidewalk begins and ends?” — a simple question from Niantic Spatial CEO, Inhi Cho Suh, that gets to the heart of what today’s AI is missing. For robots, this isn’t theoretical. To safely navigate something as everyday as a sidewalk, they need to understand boundaries, context, and change in real time. Learn about how Niantic Spatial is building the missing piece in Physical AI. #NianticSpatial #HumanX #GeospatialAI #Robotics #AI #PhysicalAI

“Do you know where a sidewalk begins and ends?” — a simple question from Niantic Spatial CEO, Inhi Cho Suh, that gets to the heart of what today’s AI is missing. For robots, this isn’t theoretical. To safely navigate something as everyday as a sidewalk, they need to understand boundaries, context, and change in real time. Learn about how Niantic Spatial is building the missing piece in Physical AI. #NianticSpatial #HumanX #GeospatialAI #Robotics #AI #PhysicalAI

Niantic Spatial 🌎

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ICYMI - at Lens Fest we launched Project Jade, our Niantic Spatial 🌎 real-world embodied AI experience on @Spectacles. it’s the convergence of 4 simultaneous technological breakthroughs delivering magic: AR glasses, geospatial intelligence, multi-modal gen AI, & conversational AI.

ICYMI - at Lens Fest we launched Project Jade, our Niantic Spatial 🌎 real-world embodied AI experience on @Spectacles. it’s the convergence of 4 simultaneous technological breakthroughs delivering magic: AR glasses, geospatial intelligence, multi-modal gen AI, & conversational AI.

asim ᯅ

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for physical AI to work in the real world, it needs high-fidelity 3D models of the real world. not just for visualization — for localization, spatial reasoning, and real-to-sim workflows that close the gap between training and deployment. at Niantic Spatial 🌎, we're turning Spexi drone imagery into exactly that — city-scale Gaussian splats grounded in the environments that matter most.

for physical AI to work in the real world, it needs high-fidelity 3D models of the real world. not just for visualization — for localization, spatial reasoning, and real-to-sim workflows that close the gap between training and deployment. at Niantic Spatial 🌎, we're turning Spexi drone imagery into exactly that — city-scale Gaussian splats grounded in the environments that matter most.

asim ᯅ

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This might be the coolest thing I’ve ever done with a drone. I flew the Antigravity A1 over downtown Chattanooga, then uploaded the 360° footage to Niantic Spatial 🌎 Scaniverse. A few hours later, I was exploring a massive 3D Gaussian splat on Apple Vision Pro.

This might be the coolest thing I’ve ever done with a drone. I flew the Antigravity A1 over downtown Chattanooga, then uploaded the 360° footage to Niantic Spatial 🌎 Scaniverse. A few hours later, I was exploring a massive 3D Gaussian splat on Apple Vision Pro.

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We were thrilled to have Niantic Spatial 🌎's Project Jade demo on Spectacles at Lens Fest 2025 to show the bleeding edge of what spatial, location-based experiences can be. Voices of VR host Kent Bye (Voices of VR) sat down with the team to talk how it came together, the role Snap’s tech stack plays in development, and what’s next for XR.

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Spectacles

15,259 次观看 • 10 个月前

Every Pokémon Go player unknowingly trained future robots. Over the years, players photographed 30 billion images from cities around the world. And now that data is teaching delivery robots to navigate streets. Niantic (company behind Pokémon Go), spun out an AI company called Niantic Spatial that's turning years of player data into a visual positioning system for machines. When 500 million people installed the game and pointed their phones at buildings, landmarks, and street corners, they were also capturing detailed location data that normal GPS can't match: > GPS signals bounce off skyscrapers and lose accuracy by up to 50 meters in dense cities. > That's a dealbreaker for sidewalk delivery robots that need to stop at exactly the right point. > Niantic Spatial trained a model on those 30 billion images to pinpoint a robot's exact location based on what its cameras see, not satellite signals. > Delivery startup Coco Robotics is the first partner, using the system to guide thousands of robots across LA, Chicago, and Miami. Don't think anyone thought they were training robots when they were chasing Pikachu during COVID.

Every Pokémon Go player unknowingly trained future robots. Over the years, players photographed 30 billion images from cities around the world. And now that data is teaching delivery robots to navigate streets. Niantic (company behind Pokémon Go), spun out an AI company called Niantic Spatial that's turning years of player data into a visual positioning system for machines. When 500 million people installed the game and pointed their phones at buildings, landmarks, and street corners, they were also capturing detailed location data that normal GPS can't match: > GPS signals bounce off skyscrapers and lose accuracy by up to 50 meters in dense cities. > That's a dealbreaker for sidewalk delivery robots that need to stop at exactly the right point. > Niantic Spatial trained a model on those 30 billion images to pinpoint a robot's exact location based on what its cameras see, not satellite signals. > Delivery startup Coco Robotics is the first partner, using the system to guide thousands of robots across LA, Chicago, and Miami. Don't think anyone thought they were training robots when they were chasing Pikachu during COVID.

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iOS Spatial design concept by oofus

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the fact you can just stitch together perception for AI is wild 🔥 😎 sight via Snap Inc. Spectacles AR glasses 🌎 a sense of place via Niantic Spatial 🌎's map 🧠 consciousness via Liquid City’s AI brain watch the magic happen with @PlayPeridot's spatially intelligent companion.

the fact you can just stitch together perception for AI is wild 🔥 😎 sight via Snap Inc. Spectacles AR glasses 🌎 a sense of place via Niantic Spatial 🌎's map 🧠 consciousness via Liquid City’s AI brain watch the magic happen with @PlayPeridot's spatially intelligent companion.

asim ᯅ

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Gaussian splats look impressive—but robotics needs more than photorealism. Niantic Spatial generates an aligned collision mesh alongside every Gaussian splat, creating machine-readable digital twins with accurate geometry, depth, and collision awareness. Built for Spatial AI, Physical AI, and simulation in NVIDIA Robotics Isaac Sim. Learn more: #GaussianSplats #SpatialAI #PhysicalAI #3DGS #3DReconstruction #AI #ComputerVision

Gaussian splats look impressive—but robotics needs more than photorealism. Niantic Spatial generates an aligned collision mesh alongside every Gaussian splat, creating machine-readable digital twins with accurate geometry, depth, and collision awareness. Built for Spatial AI, Physical AI, and simulation in NVIDIA Robotics Isaac Sim. Learn more: #GaussianSplats #SpatialAI #PhysicalAI #3DGS #3DReconstruction #AI #ComputerVision

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Niantic Spatial is working with Human Machine Collaboration Institute and the City of Rancho Cordova to build the foundation for the city’s first digital twin for physical AI. Roughly four square kilometers of the Innovation Region is already reconstructed and running in simulation. Read more: #NianticSpatial #PhysicalAI #DigitalTwins #SpatialAI #3DReconstruction #Robotics

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Catch Niantic Research at #CVPR2024! - I will give a talk at the MonoDepth challenge, TUE-PM. Teaser below! - Niantic presents two posters WED-PM: AirPlanes and MicKey. Do not miss the MicKey 📢Oral 📢 by Axel Barroso-Laguna! - One more poster FRI-AM: marepo (✨Highlight✨)

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