IMAGESAR solutions provider Asterra in talks for first satelliteIsraeli geospatial analytics firm Asterra is considering ordering its own satellite as it struggles to compete with government agencies for images, an executive said Feb. 22.
IMAGE
IMAGEDixon calls for greater transparency and data interoperabilityRussia's invasion of Ukraine is underscoring the need to fuse intelligence datasets, like geospatial intelligence, signals intelligence, human intelligence, said Stacey Dixon, U.S. deputy director of national intelligence.
IMAGEOrbital Insight brings Satellogic data into its platformGeospatial intelligence company Orbital Insight announced plans April 25 to bring high-resolution imagery from Satellogic, an Earth observation company based in Argentina, into its geospatial intelligence platform.
IMAGENGA notes advantages of unclassified commercial dataThe National Geospatial-Intelligence Agency is interested in keeping commercial datasets unclassified.
IMAGENGA renews Maxar contract for satellite imageryMaxar Technologies won a $44 million contract option from the National Geospatial-Intelligence Agency to continue to provide U.S. government agencies with access to unclassified high-resolution commercial imagery from Maxar and other commercial data providers.
IMAGENow officially a public company, BlackSky moving to expand sales and marketingSatellite imagery and geospatial data provider BlackSky began trading on the NYSE Sept. 10, a day after closing a merger with a special purpose acquisition company.
IMAGENicole Robinson named president of Ursa Space SystemsAfter 14 years at satellite communications fleet operator SES, Nicole Robinson is taking on a new role: president of Ursa Space Systems, the geospatial analytics firm based in Ithaca, New York.
Ask HN: Is "3D as software" about to undergo a Cambrian Explosion?Is code-native 3D about to undergo a Cambrian explosion?And if that happens, what emergent use cases will we witness? E.g. on-demand 3D, or smart 3D objects that automatically optimize for target environments, etc?A couple of years ago, I got deeply interested in 3D represented as software, instead of static meshes. More recently, I also built a code-native 3D generation project to explore this line of thinking.Building it made me realize:(i) LLMs are increasingly becoming better spatial coders. They're naturally synthesizing sophisticated 3D via code, rather than attempting to output raw vertex data.(ii) There is an emerging niche of users leveraging Three.js, Python, or C# specifically for dynamic, AI-driven generation at runtime.So it seems to me we're moving away from pipelines where code just loads a file, toward runtime compilation where code is the file.If LLMs take the reins of programmable 3D, what happens to the traditional graphics stack?
Show HN: A daily cartoon contest between AI models, judged blindComic-cron.com is a daily contest where AI models draw a single panel cartoon about a recent news story and people vote on which are funny.I built it mainly because I love cartoons and news, but this project isn’t trying to pretend it’s human art, I wanted to see how capable the models were at this task of making funny comics. Sometimes they get it, and sometimes they don’t and it has been interesting to see the progress in just the few months I have been publishing the cartoons. Model version over version improvement within labs is quite distinct in the output, especially in the SVGs, which suggests their spatial reasoning may be improving faster than their wordsmithing. My briefs and methods have also improved over the weeks so this isn’t something I can purely attribute to the models.How it works is that a real story is selected, reduced to a shorter brief with any real names removed, and then provided to eight different models to draw a comic and provide a caption. The four of the
Save $200 Off Sonos' Best Dolby Atmos SoundbarThe Arc Ultra also supports Dolby Atmos thanks to two dedicated up-firing tweeters for spatial audio and new AI enhancement technology to isolate and boost the clarity of dialogue and voices. It has a ...
Nothing's new CMF earbuds offer noise cancellation at the same budget as Apple's wired EarPodsCMF has launched its cheapest earbuds yet with ANC, spatial audio, and long battery life, although U.S. buyers are missing out for now.The Latest Tech News, Delivered to Your Inbox ...
Why can AI generate Super Mario but not a wedge ramp for my robot vacuum?I've been puzzled by something: AI generation can produce an elaborate figurine, a cartoon character, even a convincing Super Mario — yet it can't reliably make a simple wedge ramp so my robot vacuum can climb a step. For context: I bought a Bambu P2S but can't model. I tried the "describe it and get a model" AIs — the output is unusable, you can't adjust it, it's never quite what I meant. I tried having an agent write Python to build geometry directly — it tops out at simple primitives. What finally worked: geometric decomposition. I break a complex part into ordered, grouped steps, describe each as a small spec, and let an agent execute them in Blender (via blender-mcp). That process turned out to abstract into a small engine — the key insight being it converts the 3D spatial reasoning LLMs are bad at, into the structured code they're good at. I wrote it up here: https://github.com/zhuchaokn/spec-3d-model My questions: - Why is "functional part" generation so much weaker than "figuri
Vexcel Launches On-Demand AI Object Detection Across Aerial Imagery in 45+ Countries and TerritoriesVexcel, the world's largest aerial imagery and geospatial data program, today announced the launch of Custom Elements, a new AI-powered object detection product that enables organizations to identify ...
Show HN: AnyCreature. making 3D creature by agent. harness by 3D assets pipelineI’m a Technical Artist. I built anyCreature, an open-source, mesh-based generative harness designed to programmatically quantify and enforce 3D aesthetics through three automated pipeline checks: 1. QC Thresholds: Automated pass/fail checks for standard game-engine specs (poly count, vertex budget, rigging, and animation tracks). 2. Quantified Aesthetics: Spatial vertex analysis to objectively measure mass distribution and form tension, ensuring biologically logical anatomy. 3. Silhouette & Readability: Automated high-contrast B&W renders and 24px thumbnail tests to guarantee visual clarity and instant readability in-game.I would love to see what you create with this tool. Feedback is welcome as I continue to optimize this harness.Ariescar | Gobkit
Show HN: Columnary, a better experience for reading long articlesIt bothered me that despite all the space on my laptop screen or desktop monitor, reading web articles felt like breathing through a straw. Horizontal space is poorly used and vertical space is in short supply, leaving only a few paragraphs on screen at once.Columnary is a Chrome extension that makes full use of your screen real estate, whether it's a small screen laptop or a 5K monitor. It strips ads and formatting, and puts everything into columns in a horizontally scrolling format. This way, articles can fill 100% of your screen while keeping line lengths readable.This transforms the way your brain processes articles. When you can see the whole thing at once, you can utilise your natural spatial processing ability to make sense of where you are.Columnary also includes a bookmark feature so you can mark your place when stepping away from long articles, and various typography settings and a full screen mode, as well as keyboard shortcuts to help you scroll by column.Source code is at
Show HN: Mr_tech – Treating 3D games as source code, not as their runtimeI've been working on mr_tech, a from-scratch 3D engine in Go built around a question I wanted to answer:Can a 3D game be reverse-engineered, without infringing copyright, understood as source code, and transformed into a sufficiently general Intermediate Representation (IR) that allows it to execute on a runtime for which it was never designed?The idea is to treat a game as source code, not as its runtime — the way a compiler treats its source files.Instead of reproducing the original game engine, the game is processed through a compiler-like pipeline:3D game → reverse engineering → frontend → semantic representation → IR → mr_tech runtimeThe runtime provides its own geometry/topology processing, dynamic spatial structures, rigid-body physics, entities and independent rendering backends (OpenGL and software).I've used the approach to experiment with multiple historical 3D game engines, including Doom, Quake, Jedi and Wolfenstein.The interesting question for me is not how many games it
Show HN: Blender for AI AgentsCreating 3D is hard. LLMs seem to be getting better at tool use and spatial understanding. While MCPs have proved to be a good way to use these tools- the current methods have these challenges:- Access to scene graph and core C modules of Blender- Lack of parallelism, only way is to run blender headless- Lack of deterministic and fast verification layer- Inference stack- only way to use inference is to hook another MCPWe're building Mixar, think Cursor for 3D. One access point to all generative inference, an agent to build scenes/blockouts, do boring stuff like UVs and export standard formats(.glb/gltf/obj/gbx/usd etc.)Try it: https://mixar.app - first week is free. Would love to get your feedback.
Show HN: Experiments with Weather DataI had been wanting to try experimenting with nowcasting since the death of Dark Sky and finally got around to it. This application essentially became a playground for me to experiment with various weather datasets and geospatial visualizations.Some interesting concepts that came from it:The nowcast is using pySTEPS optical flow under the hood: https://pysteps.readthedocs.io/en/latest/auto_examples/plot_.... This library is super cool. It bugged me that every radar visualization just gave you choppy snapshots in time, so I spent some time working on building a smooth interpolation. The backend passes keyframes along with motion data from the optical flow analysis and then has a custom WebGL shader to do the interpolation which lets you scrub the timeline and have a smooth interpolation.The other forecast tiles and the main weather page are using the average of many different weather models. You can see every model that factors in on the models page: https://strataweather.com/models. Thi