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🚀 Full-Resolution CONUS Satellite is here! We've added full-resolution imagery to the GOES East & West CONUS view. Just open satellite, select CONUS, and zoom in - the highest-detail view loads automatically for a stunningly clear, close-up look at clouds, storms, and fine detail. Watch for the "Full-Res" badge...

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22,777 views • 1 month ago •via X (Twitter)

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Create a digital watch using HTML, CSS, and JavaScript. Check✅ my breakdown of its functionality⬇️ •Features: 1. HTML Structure: - A `div` with `id="watch"` acts as the display area for the digital clock. 2. CSS Styling: - Centering: The `body` uses `flexbox` to center the watch both vertically and horizontally. - Aesthetic Design: The watch has a rounded border, a specific background color, and text styling for a modern look. 3. JavaScript Functionality: - The `updateWatch` function gets the current time using the `Date` object, formats the hours, minutes, and seconds with leading zeros (using `padStart`), and updates the `#watch` div's content. - The `setInterval` method ensures the time updates every second. - An initial call to `updateWatch()` ensures the clock doesn't show `00:00:00` for the first second. • How It Works: - When the page loads, the time is immediately displayed and updates every second. This results in a real-time clock that's accurate and visually appealing. • Potential Enhancements: 1. Add a toggle between 12-hour and 24-hour format. 2. Include the date along with the time. 3. Animate or style the time updates for a smoother experience. Remember to repost this💪 to educate others on your timeline. Don't be selfish, share. Follow me Dhanian 🗯️ and turn on notifications🤛 for more tech updates For more tech projects, check link on my profile. Remember to bookmark💪 Here's the full code snippets for the sample ⌚watch ⬇️

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Jupiter

149,353 views • 6 months ago

GeoLibre v1.10.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings photorealistic city-scale 3D to the map, adds OGC API vector tiles, and makes vector tiles and live editing easier to work with. What's new in v1.10.0 - Google Photorealistic 3D Tiles: drape entire cities in photorealistic 3D right in the map, streamed and rendered through - ArcGIS I3S scene layers: stream Integrated Mesh and 3D Object scene layers and render them in 3D on the shared instance. - OGC API vector tiles: add standards-based OGC API - Tiles vector tile services as a remote source, right alongside XYZ and ArcGIS vector tiles. - Local HDF5 and NetCDF-4 loading: open scientific HDF5 and NetCDF-4 files straight from disk, no cloud references required. - GeoEditor from the current view: pull the vector features currently visible in the map into the GeoEditor and start editing what you are looking at, without re-importing the source data. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre
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Qiusheng Wu

24,292 views • 29 days ago

Blackmagic Design just made a huge announcement at NAB 2025 — revealing their full immersive video workflow from camera to Apple Vision Pro. In this video, we walk through the Blackmagic URSA Cine Immersive pipeline, from capture in Blackmagic RAW, through DaVinci Resolve, all the way to native immersive playback on Apple Vision Pro using MV-HEVC metadata. We also sat down with Blackmagic Design to discuss the latest URSA Cine Immersive firmware and UIs update, immersive color grading workflows, and a powerful REST API that allows remote camera control — perfect for broadcast and remote Immersive 180 capture environments. Captured live at NAB 2025, this is the first in-depth look at how Blackmagic is setting a new standard for immersive filmmaking, delivering true 8K-per-eye playback with zero baked-in rendering and no double-pass quality loss. Comment “URSA Cine” for the full 30-minute in-depth video. #ursacineimmersive #applevisionpro #visionpro
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Hugh Hou

13,935 views • 1 year ago

GeoLibre v2.0.0 is here! GeoLibre is a free and open-source geospatial platform that runs everywhere: as a native desktop app, in the browser, on Android, and embedded right inside Jupyter notebooks. It brings modern web mapping, cloud-native data formats, and a full processing toolbox together in one place, all built on MapLibre and with no proprietary lock-in. Our first major release adds a true 3D globe, takes mapping beyond Earth to Mars and the Moon, lets styles round-trip with QGIS, and turns loaded vector layers into editable, save-back-to-source data. What's new in v2.0.0 - Planetary mapping: explore Mars, the Moon, and other bodies with the OpenPlanetaryMap basemaps, a per-project ellipsoid, and a planet switcher right in the Layers panel. - CesiumJS 3D globe: switch any map pane to a photorealistic 3D globe that stays camera-synced with your 2D maps and mirrors the layer stack. - True 3D data: render vector layers with Z coordinates, load TIN/MultiPatch 3D shapefiles, and display KML/KMZ Collada (.dae) 3D models. - Symbology interchange: import and export vector styling as OGC SLD, QGIS QML, and Mapbox GL style JSON, so styles round-trip between GeoLibre, QGIS, and the Mapbox/MapLibre ecosystem. - Editable source layers: edit vector layers and write the changes back to their source, including GeoPackage and GeoJSON files and PostGIS database tables. - Weather and sky: a new Weather menu with live cloud and precipitation radar overlays (RainViewer), plus a Google Earth-style sun position simulation for realistic lighting. - Terrain and lighting: double-click the terrain control to set vertical exaggeration, and view any scene in true 3D relief. - Smarter data import: bring in CSV without coordinates as an attribute table, split GPX track points and route points into separate layers, and load macOS-zipped and projected-CRS shapefiles. - Raster in the browser: build normalized-difference indices for any HTTP COG and extract COG/WMS/XYZ bounding-box subsets client-side. - Field Calculator upgrades: compute geometry length and area directly on your features. - Attribute table: multi-select rows with Ctrl and Shift, plus faster navigation. - Google Earth-style extras: "View in Google Maps / Google Earth" actions, camera-reset keyboard shortcuts, and a UTM easting/northing grid mode for the Gridlines overlay. - New plugins: a Mapillary coverage and street-level image viewer, a Historical Imagery panel, and an Elevation Profile tool. - Fully localized: all 13 language catalogs are complete, so the entire UI is translatable. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre
1:48

GeoLibre v2.0.0 is here! GeoLibre is a free and open-source geospatial platform that runs everywhere: as a native desktop app, in the browser, on Android, and embedded right inside Jupyter notebooks. It brings modern web mapping, cloud-native data formats, and a full processing toolbox together in one place, all built on MapLibre and with no proprietary lock-in. Our first major release adds a true 3D globe, takes mapping beyond Earth to Mars and the Moon, lets styles round-trip with QGIS, and turns loaded vector layers into editable, save-back-to-source data. What's new in v2.0.0 - Planetary mapping: explore Mars, the Moon, and other bodies with the OpenPlanetaryMap basemaps, a per-project ellipsoid, and a planet switcher right in the Layers panel. - CesiumJS 3D globe: switch any map pane to a photorealistic 3D globe that stays camera-synced with your 2D maps and mirrors the layer stack. - True 3D data: render vector layers with Z coordinates, load TIN/MultiPatch 3D shapefiles, and display KML/KMZ Collada (.dae) 3D models. - Symbology interchange: import and export vector styling as OGC SLD, QGIS QML, and Mapbox GL style JSON, so styles round-trip between GeoLibre, QGIS, and the Mapbox/MapLibre ecosystem. - Editable source layers: edit vector layers and write the changes back to their source, including GeoPackage and GeoJSON files and PostGIS database tables. - Weather and sky: a new Weather menu with live cloud and precipitation radar overlays (RainViewer), plus a Google Earth-style sun position simulation for realistic lighting. - Terrain and lighting: double-click the terrain control to set vertical exaggeration, and view any scene in true 3D relief. - Smarter data import: bring in CSV without coordinates as an attribute table, split GPX track points and route points into separate layers, and load macOS-zipped and projected-CRS shapefiles. - Raster in the browser: build normalized-difference indices for any HTTP COG and extract COG/WMS/XYZ bounding-box subsets client-side. - Field Calculator upgrades: compute geometry length and area directly on your features. - Attribute table: multi-select rows with Ctrl and Shift, plus faster navigation. - Google Earth-style extras: "View in Google Maps / Google Earth" actions, camera-reset keyboard shortcuts, and a UTM easting/northing grid mode for the Gridlines overlay. - New plugins: a Mapillary coverage and street-level image viewer, a Historical Imagery panel, and an Elevation Profile tool. - Fully localized: all 13 language catalogs are complete, so the entire UI is translatable. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

35,678 views • 23 days ago

I've recently been spending time with the ChatGPT team on shipping new experiences in ChatGPT! Our team's goal is simple – bring the incredible benefits of AI to everyone globally. We're making week by week progress and here are a few new improvements to share, all live right now: - new interactive beautiful charts - ability to edit your writing in full screen and save to your library - a table of contents for when your chats get really long - editing messages with attachments (finally!) - [for plus/pro users] long press on 'send' to select the model's intelligence / effort level - [on iOS] typing into the chat box now feels more responsive We're listening to what you're interested in, let us know what to build in comments!
0:20

I've recently been spending time with the ChatGPT team on shipping new experiences in ChatGPT! Our team's goal is simple – bring the incredible benefits of AI to everyone globally. We're making week by week progress and here are a few new improvements to share, all live right now: - new interactive beautiful charts - ability to edit your writing in full screen and save to your library - a table of contents for when your chats get really long - editing messages with attachments (finally!) - [for plus/pro users] long press on 'send' to select the model's intelligence / effort level - [on iOS] typing into the chat box now feels more responsive We're listening to what you're interested in, let us know what to build in comments!

Adam Fry

219,429 views • 1 month ago

Apple Maps 3d is insanely impressive now (see video below) Google on the other hand decided to build an insanely clunky solution to display 3d maps to avoid using mobile GPUs: A Google server streams (!) a live video of its 3d rendered map to you, the result is a disastrous: a super laggy and clunky 3d view full of video compression artefacts with a response time of 2-3 seconds for every movement And I know WHY they built that, someone felt it was not inclusive to only have 3d maps that are high performing on iOS because Apple's GPUs are insanely fast and can deal with it (as you can see below in Apple Maps) but they wanted to support inferior phones, I get it But then they also decided to worsen the experience for iOS users who could easily run 3d natively on its GPU It's just an insane product decision, there's no way to cut it: they could have super smooth 3d like Apple Maps but neutered it with a clunky live stream Even more insane because Google does have native 3d on iOS in a completely different app that nobody uses: Google Earth Is 3d important? Not rly for nav no but it shows again something about Google's engineering decisions, like the redesign of the Google OAuth Login screen that made zero sense Nobody is speaking up against bad ideas in Google meetings, everyone's too scared of HR maybe, it's the opposite of a meritocracy and it's just super visible from using Google products right now
0:52

Apple Maps 3d is insanely impressive now (see video below) Google on the other hand decided to build an insanely clunky solution to display 3d maps to avoid using mobile GPUs: A Google server streams (!) a live video of its 3d rendered map to you, the result is a disastrous: a super laggy and clunky 3d view full of video compression artefacts with a response time of 2-3 seconds for every movement And I know WHY they built that, someone felt it was not inclusive to only have 3d maps that are high performing on iOS because Apple's GPUs are insanely fast and can deal with it (as you can see below in Apple Maps) but they wanted to support inferior phones, I get it But then they also decided to worsen the experience for iOS users who could easily run 3d natively on its GPU It's just an insane product decision, there's no way to cut it: they could have super smooth 3d like Apple Maps but neutered it with a clunky live stream Even more insane because Google does have native 3d on iOS in a completely different app that nobody uses: Google Earth Is 3d important? Not rly for nav no but it shows again something about Google's engineering decisions, like the redesign of the Google OAuth Login screen that made zero sense Nobody is speaking up against bad ideas in Google meetings, everyone's too scared of HR maybe, it's the opposite of a meritocracy and it's just super visible from using Google products right now

@levelsio

1,488,981 views • 1 year ago

#GoProMISSION1 PRO Deep Dive—Part 5 of 6 🎥 You focus on shooting, the camera does the thinking. MISSION 1 PRO meets you where you are, letting you choose from 13 adaptive modes that read your environment + set everything for the shot. The specialized modes run on neural libraries built right into the camera, handling noise reduction alongside face + body detection on the fly with no phone or post required. Powered by the 1-inch sensor's Quad Bayer architecture, Low Light Mode pulls in more light + holds detail across highlights + shadows, so dim scenes look natural, not noisy or riddled with AI artifacts. Dive Mode auto-corrects color + tunes stabilization the moment you drop below the surface, so underwater footage stays true-to-life instead of washed-out blue. Subject Tracking keeps you locked in to the center of the frame as you move—just hit record and let it follow. And when you want to take the reins, the same camera opens up full pro control: 10-bit color, GP-Log2 with LUTs, HLG HDR, real-time readouts for ISO, shutter + white balance, + Timecode Sync to line up every angle in the edit. Point + shoot when you want to move fast, take full manual control when the shot calls for it. Shop MISSION 1 PRO at or at your local retailer 🛒 #GoPro #Cinematic #Videography
0:31

#GoProMISSION1 PRO Deep Dive—Part 5 of 6 🎥 You focus on shooting, the camera does the thinking. MISSION 1 PRO meets you where you are, letting you choose from 13 adaptive modes that read your environment + set everything for the shot. The specialized modes run on neural libraries built right into the camera, handling noise reduction alongside face + body detection on the fly with no phone or post required. Powered by the 1-inch sensor's Quad Bayer architecture, Low Light Mode pulls in more light + holds detail across highlights + shadows, so dim scenes look natural, not noisy or riddled with AI artifacts. Dive Mode auto-corrects color + tunes stabilization the moment you drop below the surface, so underwater footage stays true-to-life instead of washed-out blue. Subject Tracking keeps you locked in to the center of the frame as you move—just hit record and let it follow. And when you want to take the reins, the same camera opens up full pro control: 10-bit color, GP-Log2 with LUTs, HLG HDR, real-time readouts for ISO, shutter + white balance, + Timecode Sync to line up every angle in the edit. Point + shoot when you want to move fast, take full manual control when the shot calls for it. Shop MISSION 1 PRO at or at your local retailer 🛒 #GoPro #Cinematic #Videography

GoPro

14,217 views • 14 days ago

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre
1:45

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

Qiusheng Wu

18,075 views • 1 month ago