Descartes Labs is proud to be a remote-first, deliberately distributed organization that recognizes that people have different needs and motivations for building a life and career that matters and works for them. For this reason, we are open to our employees working from any location, in a way that enhances their well-being, productivity, and role.

Descartes Labs is excited to release GeoVisual Search. We’ve used the power of our geospatial platform to process public and commercial satellite imagery, detect visual similarities between scenes, and apply machine learning to recognize different types of objects across the globe.

The Descartes Labs Platform simplifies analysis of global-scale raster data by providing: Access to a catalog of petabytes of disparate geospatial data, all normalized and interoperable through one common interface Infrastructure to parallelize any code across thousands of machines co-located with that data Descartes Labs has been a great company to work for. The atmosphere is relaxed but serious. Opportunities abound for gaining new skills and learning from others. This company has a bright future and I couldn't be happier. Descartes Labs will build a comprehensive data refinery for the state, combining multiple datasets from inputs including Sentinel-5P satellite data, latitude and longitude locations of oil and gas The Descartes Labs platform delivers geospatial analytics and price forecasts for leaders in the mining and metals industry, helping them optimize operations during each phase of the mining life cycle.

Descartes. Så sänker Descartes sina kunders transportkostnader med 10 procent · Stockholms Hamnar. Största hamnbygget i Sverige på 100 år · Colliers. This study will last 35 nights and involves spending three nights in the sleep lab at George Washington University. There are no additional costs to participants självet – Descartes trodde att det var tallkottskörteln – och i stället betrakta vårt medvetande som ett resultat av paral- lella processer i nervceller Professor Jean-Marie Andrieu in his Parisian lab at the University of Rene Descartes. Professor Jean-Marie Andrieu started his research on HIV in Professor Descartes Systems (Sweden) AB. Skeppsbron 3, 211 20 Malmö · 040-660 35 00 Zenf Labs AB. Bollebo 2, 585 96 Linköping · 070-217 17 70 Senaste Tweets från Ben Breitholtz (@benbreitholtz).

At Descartes Labs, we’ve been working at scale for years to solve some of the world’s hardest and most important geospatial AI challenges.Our custom solutions have helped global enterprises At Descartes Labs, I built upon this work over the summer, using both SAR and InSAR timeseries to predict vegetation indices (VI) in a region surrounding Fresno, California, and across an area of Descartes Labs.

Read writing from Descartes Labs on Medium. Descartes Labs is building a data refinery for geospatial data. Every day, Descartes Labs and thousands of other voices read, write, and share important stories on Medium.

Arbeit Definition Lab o war n u vara retiborer. In linjorkombination av dessa Descartes Labs enables rapid experimentation—so your team can hypothesize, test and discover powerful signals across your business. By accelerating the deployment of new models and applications, we make it easy to operationalize new signals and deliver them to your business team through the appropriate interface. Descartes Labs launched as a spin-out from Los Alamos National Laboratory in December of 2014.

Senaste Tweets från Ben Breitholtz (@benbreitholtz). Data Scientist @DataArbor, explorer of data and DIYer. UW-Madison (go badgers!) undergrad +

Developer of an image analysis technology platform designed to offer useful satellite imagery. The company's platform applies machine learning to data sources like satellite imagery for better forecasting, monitoring and historical analysis, enabling clients to collect data daily from public and commercial imagery providers and calibrate it for Descartes Labs has not published pricing information for their data services. This is common practice for data vendors and providers.

Our customers use the platform to build algorithms and models that transform their businesses quickly, efficiently, and cost-effectively. Descartes Labs is proud to be a remote-first, deliberately distributed organization that recognizes that people have different needs and motivations for building a life and career that matters and works for them.
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Handling petabytes of data, compression is hugely important for packaging the data in usefully sized files and for … Descartes Labs is excited to release GeoVisual Search. We’ve used the power of our geospatial platform to process public and commercial satellite imagery, detect visual similarities between scenes, and apply machine learning to recognize different types of objects across the globe. 2020-01-22 Descartes Labs's annual revenues are $10-$50 million (see exact revenue data) and has 100-500 employees. It is classified as operating in the Custom Computer Programming & Software Development Services industry. 2021-02-09 Descartes Labs has raised $58.28 m in total funding.

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At Descartes Labs, we’ve been working at scale for years to solve some of the world’s hardest and most important geospatial AI challenges.Our custom solutions have helped global enterprises At Descartes Labs, I built upon this work over the summer, using both SAR and InSAR timeseries to predict vegetation indices (VI) in a region surrounding Fresno, California, and across an area of Descartes Labs. Descartes Labs has 14 repositories available.

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Senaste Tweets från Ben Breitholtz (@benbreitholtz). Data Scientist @DataArbor, explorer of data and DIYer. UW-Madison (go badgers!) undergrad +

The underlying technology uses computer vision, machine learning, and cloud-based infrastructure to teach computers to see and understand the world around them. Descartes Labs created a cloud-based supercomputing platform to apply machine intelligence to massive datasets. Its mission is to better understand the planet, for good and for profit. The Descartes Labs Platform simplifies analysis of global-scale raster data by providing: Access to a catalog of petabytes of disparate geospatial data, all normalized and interoperable through one common interface Infrastructure to parallelize any code across thousands of machines co-located with that data Descartes Labs has been a great company to work for.