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Projectors are adopting RGB backlighting, the hottest tech from the world of TVs. This large but vivid projector is a great option for summer movie nights.
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Protect your home against dust, pets, allergens, and more with the best air purifiers, tested firsthand.
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I’m sick of “opt-out” toggles for automatically enabled generative AI features. It’s past time to make “opt in” the default setting for sensitive features.
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Researchers identified traces of erythrulose, a monosaccharide, thousands of light-years away.
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The original OnePlus phone disrupted the mobile market 13 years ago with its affordable price and top-end specs. Now, the company is exiting North America and Europe to focus on China.
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Go from an empty repository to a live custom domain with HTTPS in about 14 minutes, without manually editing a single DNS record. The post How GitHub Copilot enables zero DNS configuration for GitHub Pages appeared first on The GitHub Blog .
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Two men pleaded guilty in the United Kingdom this week to criminal charges stemming from an August 2024 cyberattack that crippled Transport for London, the entity responsible for the public transport network in the Greater London area. The duo were key members of a prolific cybercrime group known as Scattered Spider, and their guilty pleas came on the first day of what was expected to be a six-week trial.
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Posted by Coco Fatus, UX Designer, Alon Hetzroni, UX Engineer, Azin Mehrnoosh, Product Manager Android XR At this year's Google I/O , we announced an update for spatial experiences: the Geospatial API is now available as a preview in ARCore for Jetpack XR . By bringing Google's Visual Positioning System (VPS) to Android XR, Android XR enables anchoring digital content to the physical world with sub-meter accuracy and precise orientation in supported areas.* To explore what the Geospatial API could unlock, our team built a demo: the XR Geospatial Tour. Imagine walking into a new city, putting on a pair of wired XR glasses (like the upcoming XREAL Project Aura), and instantly having a knowledgeable, local guide showing you around. You don't need to stare down at a 2D map—instead, 3D models gently guide your path, and an intelligent voice tells you about the historical landmarks right in front of you. We combined the Geospatial APIs , Gemini API using Firebase AI Logic , Google Maps Grounding , and Jetpack XR SDK to create a hands-free, immersive walking tour experience. *Disclaimer: Video and Tour Guide application are for demonstration purposes only. Some sequences have been shortened. Any hardware depicted may be under development; final product details may differ. Let’s walk through the implementation details and show how we tied these APIs together to build a world-scale spatial experience. 1. Pinpointing the User with ARCore Geospatial API (VPS) Enhance your navigation experience on XR by combining the power of GPS with the precision of VPS. The accuracy and precise orientation that comes with VPS allows 3D waypoints to align with the physical world. This is why the Geospatial API on Android XR can help you build custom experiences. By using advanced computer vision, VPS tries to provide a GeospatialPose (including latitude, longitude, and heading) that is more accurate than GPS. Here's how we retrieve the user's Geospatial pose by mapping the device's orientation to a Geospatial coordinate: // Retrieve the current geospatial pose from the ARCore session val result = geospatial.createGeospatialPoseFromPose(arDevice.state.value.devicePose) if (result is CreateGeospatialPoseFromPoseSuccess) { val pose = result.pose Log.d("VPS", "Accurate Location: ${pose.latitude}, ${pose.longitude}") } Because the entire experience relies on this accuracy, we monitor the horizontalAccuracy and orientationYawAccuracy until they meet our thresholds. If the user is indoors or in an unrecognized area, we prompt them to "walk to an outdoor public space and look around". 2. Crafting the Itinerary with Gemini API & Google Maps Grounding Once we have a location, we use the Gemini API using Firebase AI Logic to prompt the Gemini model to act as a local tour guide. We pass the user's coordinates to the model and ask it to output a structured JSON response containing nearby walking tours: val configForTools = ToolConfig( functionCallingConfig = null, retrievalConfig = retrievalConfig { latLng = FirebaseLatLng(pose.latitude, pose.longitude) languageCode = "en" } ) val responseJsonSchema = Schema.obj( mapOf( "locationIntro" to Schema.string(), "tours" to Schema.array( Schema.obj( mapOf( "title" to Schema.string(), "description" to Schema.string(), "stops" to Schema.array( Schema.obj( mapOf( "name" to Schema.string(), "detailedName" to Schema.string(), "description" to Schema.string() ) ) ) ) ) ) ) ) val model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel( modelName = "gemini-3.5-flash", tools = listOf(Tool.googleMaps()), generationConfig = generationConfig { responseMimeType = "application/json" responseSchema = responseJsonSchema } ) val result = model.generateContent("The user is at latitude ${pose.latitude} and longitude ${pose.longitude}. Generate exactly 3 diverse tours near this location (e.g., historical, food, nature). All tour ideas should be walking distance only.") Large Language Models are great at generating rich descriptions, but they can sometimes hallucinate exact latitude/longitude coordinates. To solve this, we used Google Maps Grounding to ground the AI. 3. A Voice to Guide You: Gemini 2.5 TTS To make the tour guide feel truly present, we implemented dynamic voiceovers. Using the gemini-2.5-flash-tts model, we can configure our model generation config to natively return audio data instead of just text! Here’s how you can request the ResponseModality.AUDIO: val ttsModel = Firebase.ai(backend = GenerativeBackend.googleAI()) .generativeModel( modelName = "gemini-2.5-flash-tts", generationConfig = generationConfig { // Instruct the model to return Audio responseModalities = listOf(ResponseModality.AUDIO) } ) val response = ttsModel.generateContent("Say in a neutral but positive voice:\n$prompt") // Extract the raw audio bytes from the response val audioBytes = response.candidates.firstOrNull()?.content?.parts ?.filterIsInstance<InlineDataPart>() ?.firstOrNull { it.mimeType.contains("audio") }?.inlineData 4. Bringing it to Life in 3D with Jetpack XR The final piece of the puzzle is rendering this data in the user's field of view. The Jetpack XR SDK makes it intuitive to transition from a 2D Android UI to spatial computing. We used Jetpack Compose for XR to build spatial components. To represent points of interest along the tour, we built a Composable called InfoSphere, which contains a GltfModel of a 3D orb that floats in space and can be interacted with to reveal information. Using Jetpack XR SDK, we can place 3D models alongside the Compose UI using SpatialBox and SceneCoreEntity . We also used InteractableComponent to respond to user taps. @Composable fun InfoSphere( content: InfoBubbleContent, session: Session, sphereModel: GltfModel, isSelected: Boolean, onClick: () -> Unit ) { // SpatialBox lets us arrange 3D components and SpatialPanels together SpatialBox( SubspaceModifier .offset(x = 2.dp, y = 1.dp, z = (-3).dp) // Positioned in 3D space ) { // Smoothly animate the visibility of our 2D Compose UI Panel AnimatedSpatialVisibility(visible = isSelected) { SpatialPanel { InfoBubble(content) // Regular 2D Compose UI } } // Render our interactive 3D sphere SceneCoreEntity( factory = { GltfModelEntity.create(session, sphereModel).also { entity -> // Make the 3D model respond to user taps entity.addComponent(InteractableComponent.create(session) { inputEvent -> if (inputEvent.action == InputEvent.Action.UP) { onClick() } }) } } ) } } By combining AnimatedSpatialVisibility for traditional Compose UI surfaces with SceneCoreEntity 3D elements, we're able to seamlessly blend data into the physical world. Explore what’s possible with Android XR today Building the XR Geospatial Tour app showed us that the barrier to entry for world-scale spatial experiences is lower than ever for Android developers. With the Geospatial API now available in preview on Android XR, your apps can seamlessly understand the physical world around them. By combining Compose for XR ’s APIs with the high-precision location data of VPS and the generative capabilities of Gemini, we can create experiences that understand both where the user is and what they are looking at. To help you get hands-on with Android XR, we are thrilled to open applications for the Android XR Developer Catalyst Program , which includes XREAL Project Aura. Starting today, you can apply to get access to an XREAL Project Aura devkit or our display glasses devkit over the coming months! *Disclaimer: Available on select devices. Internet connection required. Works on compatible apps and surfaces. Results may vary.
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Posted by Stevan Silva, Group Product Manager, and Vinny DaSilva, Developer Relations Engineer, Android XR From augmented overlays to fully immersive environments, the Android XR ecosystem is expanding rapidly, with the Samsung Galaxy XR already available today. Alongside the latest updates from Google I/O and this week's Augmented World Expo (AWE), we are rolling out new tooling, broader engine support, and ecosystem resources to help you build and scale experiences for Android XR. To get a quick look at what’s new, check out our video recap! Ready to dive deeper? Let’s jump into the major updates that will streamline your XR development workflow. Build, Prototype, and Iterate with Developer Preview 4 Developer Preview 4 of the Android XR SDK delivers the APIs and tools you need to design and build right from your laptop. This update includes the specific libraries required to target both immersive and augmented experiences. Check out the video below for a comprehensive breakdown of the latest in Android XR: To test all of these interactions without needing physical hardware, you can emulate and iterate on your code entirely within Android Studio . Check out our tooling deep dive to see how you can use XR emulator today: Extending your mobile apps for intelligent eyewear Building for audio and display glasses doesn't mean starting from scratch. With the Jetpack Projected library , you can take your existing mobile app to create a complementary augmented experience. The new release includes a Device Availability API that hooks into standard Android Lifecycle states, allowing your app to natively adapt its behavior based on whether the glasses are being worn. To accelerate your development journey, use Android CLI and the display glasses skill to extend your mobile app into an augmented experience. The skill is packed with specialized knowledge of Jetpack Compose Glimmer, enabling it to build your UI using our recommended design patterns. We’ve also updated Jetpack Compose Glimmer to optimize text legibility on optical see-through displays and provide touchpad-optimized navigation components. See how it looks in action: Developers at NAVER Papago are already exploring how to seamlessly bring their mobile experience directly to display glasses. To learn how to leverage these tools, watch this session on extending mobile apps for AI glasses: Building global, location-based immersive experiences For developers focused on immersive experiences, Developer Preview 4 brings modern, Kotlin-first architectural upgrades across our core perception libraries. We have also introduced an early preview of the Geospatial API for wired XR glasses. By combining ARCore for Jetpack XR with Google's Visual Positioning System (VPS), you can anchor digital content to high-precision real-world locations. Leverage the Platforms You Know with Expanded Engine Support We want you to build using the ecosystems and workflows you already know best. To make it easier to bring your existing XR experiences over to Android XR, we are thrilled to introduce official support for Unreal Engine and Godot alongside our existing Unity's support for wired XR glasses . With this expansion, we are introducing the Android XR Engine Hub , a desktop tool for Windows that shortens iteration cycles by bringing real-time testing directly into your engines viewport. Catch the full breakdown of our engine updates here: Apply Today for the Android XR Developer Catalyst Program In addition to providing the platform, we want to fuel your innovation directly through ecosystem resources. The Android XR Developer Catalyst Program is designed to support developers with access to pre-release hardware, including display glasses, and wired XR glasses. Accepted developers will receive resources, support forums, and launch guidance to prepare their apps for Google Play. Applications are open right now, so don't wait to submit your project ideas . Start Building! The ecosystem is growing rapidly, and the tools are ready for you to explore. Samsung Galaxy XR is available now, and you can dive in today with Developer Preview 4 of the Android XR SDK . If you don’t have hardware yet, check out the tools and to get started with the XR Emulator in Android Studio . For a complete look at all of our technical sessions, browse the full Android XR Playlist on YouTube to see what else is possible. We can’t wait to see what you build!
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Posted by Paul Lammertsma, Developer Relations Engineer With over 300 million monthly active devices across Google TV and Android TV, it’s clear that the living room is a massive, distinct platform for apps to accelerate growth. Today, we’re excited to share Google TV features and developer tools designed to increase the discoverability of your content and prepare your app for future TV experiences. Drive discovery and engagement with Gemini Last year, we brought our AI voice assistant, Gemini , to our platform, so that people can easily find what to watch, learn something new on the big screen, and get everyday tasks done with just their voice. Since launch, we’ve made improvements to how Gemini provides tailored responses to questions. Gemini shares a mix of visuals, videos, and text to help users find what they need, when they need it. For our streaming partners, Gemini is a helpful discovery engine—pulling from your app's metadata to surface your relevant content to viewers. Declare support for pointing modality The TV experience that we once knew is changing. Gemini is changing the way we discover and stream content with voice, but how we use the remote is evolving, too. Pointer remotes bring motion-controlled input to the big screen, unlocking faster user navigation across the Google TV Home page and within content-heavy apps. To ensure your app is ready for this shift and provides a great experience for all users, now is the time to start thinking about pointing input. Here’s how to get started: 1. Adapt your TV app UI Library You’ll need support for hover states, scrollable containers, and cursor clicks to enable pointer remote interactions for your app on Google TV. While implementation varies by UI stack, Jetpack Compose streamlines this transition, as most core components handle these multi-modal interactions natively out of the box. Hover state: Every focusable element on your screen (buttons, movie posters, setting toggles) needs a clear visual feedback mechanism for a hover state. This is often subtler than a focus state but critical for feedback. Scrollable containers: Pointer remotes will also have a small circular touchpad for scrolling. Users can use this touchpad to scroll up or down, or left or right in your app. Your app will need to respond to touch events to scroll. Cursor clicks: Many TV apps today expect a simple D-pad OKAY button “click.” With a pointer remote, a user may “click” on an element that’s not the D-pad focus state, but is instead from a hovered state (similar to a mouse click). 2. Test pointing interactions with a mouse today To see how your app handles hover, scroll, and clicks, simply connect a bluetooth mouse or wired mouse to your Google TV. Keep in mind that a mouse has more precise control, since users are closer to the screen and typically rest the mouse in a stable position. Pointer remotes can often be less precise, since users are sometimes 10 feet away from the screen, making rough gestures with the remote from their couch. As a TV designer or developer, you can mitigate this lack of input precision by having larger hover targets for elements. 3. Declare TV app support for pointer remotes on Google Play Finally, tell Google Play that your TV app is designed to work with a pointer. This ensures that users with pointer remotes will be able to easily find, install, and interact with your app. Within your AndroidManifest.xml, declare the meta-data tag, android.software.leanback. supports_touch . This tag informs the platform that your TV app “spatially supports touch,” since pointer remotes simulate touch events from a distance. AndroidManifest.xml <manifest ...> <!-- Signal whether the app is adaptive or built just for TV --> <uses-feature android:name="android.software.leanback" android:required="true|false" /> <!-- Ensure the app can be installed on conventional TVs --> <uses-feature android:name="android.hardware.touchscreen" android:required="false" /> <!-- Signal whether the app supports pointer remotes --> <meta-data android:name="android.software.leanback.supports_touch" android:value="true|false"/> <application ...> ... </application> </manifest> Tips: The android. software . leanback feature declaration indicates that your app supports D-pad navigation and is intended for distribution only on TV devices via Google Play. The new software attribute of android.software.leanback. supports_touch declares that in addition to D-pad, you have ensured that your TV app works well for pointer/cursor experiences via mouse (of today) and pointer remotes (of future). If you haven't already, now is the time to adopt Jetpack Compose . Hover, scroll, and clicks are common input modalities that are supported on various form factors, and building your app with an adaptive UI framework enables code reusability and reduced maintenance. Onboard the Engage SDK The Engage SDK, formerly known as the Video Discovery API, optimizes Resumption, Entitlements, and Recommendations across all Google TV form factors to boost app discovery and engagement. Resumption: Partners can easily display a user's paused video within the 'Continue Watching' row from the Home page. Entitlements: The Engage SDK streamlines entitlement management, which matches app content to user eligibility. Users appreciate this because they can enjoy personalized recommendations without needing to manually update all their subscription details. This allows partners to connect with users across multiple discovery points on Google TV. Recommendations: The Engage SDK even highlights personalized recommendations based on content that users watched inside apps. It’s a great time to start onboarding the Engage SDK now, since the legacy Watch Next API, which has been powering your continue watching 1.0 experience, will lose support in the 2nd half of 2027. To get started, head to goo.gle/engage-tv to learn more. We're excited to see how our latest Gemini experience and developer tools will optimize your discovery and drive user engagement on our platform. Explore this announcement and all Google I/O 2026 updates on io.google .
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Posted by Android XR Team The Android XR ecosystem is expanding, and we’re committed to supporting developers who will build its next great experiences. Today, we’re opening applications for the Android XR Developer Catalyst Program , a dedicated initiative to accelerate the development of Android XR apps ready to launch within the next year. This program is designed to provide the resources, hardware, and grants to help you build and scale innovative experiences across wired XR glasses , like XREAL’s Project Aura , and intelligent eyewear (audio and display glasses). We are especially interested in seeing innovative experiences across media, gaming, productivity, and health, but we welcome any unique use case that helps users expand what's possible. Why join the catalyst program? We want to help developers navigate common barriers to entry for XR development by providing: Development Kits: Get early access to hardware development kits for wired XR glasses (XREAL’s Project Aura) and / or intelligent eyewear (audio and display glasses). Technical support: Gain access to specialized technical resources and support forums specifically designed to help you prepare your app for Google Play. Grant Opportunities: Submit a request and you may be eligible to receive a non-recoupable grant to accelerate your development. Ready to start building? Applications are open to developers looking to publish apps for the Android XR ecosystem in the next 6-12 months. You can build with Kotlin and the Jetpack XR SDK , or with Unity , Unreal Engine or Godot . If you need a spark of inspiration, you can check out existing XR Experiments and Samples to see how you can use the SDK for everything from spatial music to navigation. Once you have your concept ready, be sure to submit your application by June 30th by 11:59PM PDT. We can’t wait to see what you build. Start Your Application Explore this announcement and all Google I/O 2026 updates on io.google .
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How Block Blast scaled with clarity-first and what comes next
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“GPT-5.5's API pricing is reshaping how startups build AI products”
