


Sanborn Geospatial Delivers Official DriveTexas Mobile App for TxDOT-led Traveler Safety InitiativeNew iOS and Android application features smart routing and one-click detours around active road closures, construction, and severe weather ...

How Spatial Streaming is Unlocking New Possibilities in 3D Asset DeliveryModern video is powered by adaptive streaming: one source file reaches any screen, on any connection, with playback that starts near instantaneously. Miris brings that model to 3D. We spoke with Miris ...



Taxi drivers rarely die of Alzheimer’s – how complex mental maps and spatial reasoning protect your brainTaxi and ambulance drivers are less likely than workers in almost any other job to die of Alzheimer’s disease. That was the surprising result of a 2024 study examining the death certificates of nearly ...

Ask HN: How do you correct spatial reasoning of LLMs?I'm working on a complex multi-part 3D-printed product, and I needed some engineering input from LLMs. I use highest Gemini Pro reasoning levels, Fable, and K3 Max with everything tuned to highest.The problem I'm facing is mounting a sensor on a barbell sleeve. The sensor is a semi-hollow 100mm cylinder, 60mm diameter, with a 50mm diameter 50mm deep tube cutout for the sleeve. (It's a bit more complex than that.)I'm trying to brainstorm different clamping mechanisms, and evaluate durability and manufacturability of several designs.No matter what I try, the output of all LLMs is absolutely wild, especially if you ask to make a technical drawing. Anthropic reliably been the worst, and Gemini, surprisingly, the best.But none understand what goes where in any detail, besides spewing paragraph and paragraph of wild ideas including rotational cam clamps over a recessed ring TPU collet (apparently, a "brilliant pivot") and stuff like this.Is this the "unconquered frontier"? Do I need to blow


Show HN: Sequence, a daily spatial number puzzleA field of random numbers with simple interactive mechanics is like a cheat code for designing puzzle games. Credit to my brother who came up with the initial idea, inspired by games like Sudoku and Minesweeper.I also love the communal experience of Wordle, so it generates the same puzzle for everyone each day.



At AWE 2026, Spatial Computing Grows Up And AI Is Now The StoryForbes contributors publish independent expert analyses and insights. Tim Bajarin covers the tech industry’s impact on PC and CE markets. This voice experience is generated by AI. Learn more. This ...

Stera: Open-Source Infra That Turns iPhones into Spatial Data for World ModelsWe are releasing Project Stera - an open source, end-to-end pipeline that turns a commodity iPhone into a research-grade capture system for embodied AI training data.Today, we're open-sourcing the whole stack, along with Stera-10M, a 200+ hour dataset, and 10M+ frames captured entirely through it.FPV Labs began with one bet - the scaling law for embodied AI will need high-fidelity, multimodal real-world data, and the underlying infrastructure that produces this at scale without compromising downstream quality will determine how fast we build a general-purpose model.Over the last 12 months, we've seen how high-fidelity data is locked behind gated hardware like Aria, which is out of reach for researchers, builders, and startups that want to work with high-quality multi-modal data, and how every single data lab ends up rebuilding the same harness for their own fleet.This has led to immense data fragmentation over the last year and a race to collect data that is either low-fidelity or buil

Geospatial Imagery Analytics Company Evaluation Report 2025: Google, Maxar Technologies and Trimble Lead with AI Satellite Data Platforms, High-Resolution Imagery and Real-Time ...The above button links to Coinbase. Yahoo Finance is not a broker-dealer or investment adviser and does not offer securities or cryptocurrencies for sale or facilitate trading. Coinbase pays us for ...


Show HN: Infinate –O(k)constant-time spatial attention for unlimited LLM contextI built infinate, an open-source (Apache 2.0) attention mechanism that places tokens in a 3D semantic space and limits attention to ~50 nearest neighbors via exponential decay + hard cutoff. This gives true O(k) constant complexity: latency ~7–14 ms and memory fixed (1.50 MB in production) even at 10M+ tokens on CPU.Latest update (Jan 20, 2026): Milestone 1.11 – Strafe Jumping Navigation. As a longtime Quake player, I applied real game physics exploits (7/9 validated) — bunny hop, circle jump, warp lanes, momentum accumulation, LOD hopping, etc. — to make semantic traversal ultra-fast, like speedrunning in 3D space.Benchmarks (all CPU, Qdrant vector store): - In-memory mode: - CodeQA (100K): 3.57 ms vs MIT RLM 15,000 ms → 4,198× faster - OOLONG (500K): 4.06 ms vs 35,000 ms → 8,628× faster - BrowseComp+ (10M): 7.18 ms vs 120,000 ms → 16,722× faster - Average speedup: 10,317× vs MIT Recursive Language Models (arXiv:2512.24601) - Production (Docker/Qdrant): Average 533× faster - Memory: C


Use geospatial data in Azure with Planetary Computer ProOpen the Planetary Computer data catalog and you will find all kinds of useful data: from decades’ worth of satellite imagery to biomass maps, from the US Census to fire data. All together, there are ...

SADA Recognized as a 2025 Google Public Sector AI and ML, Data Analytics, Maps & Geospatial, Security, and Work Transformation Expertise PartnerRESTON, Va., Feb. 21, 2025 (GLOBE NEWSWIRE) -- SADA, An Insight company, a leading services and solutions Google Cloud consultancy driving transformative change for its customers, has received five ...
