Geometric Data Analytics, Inc. @GeomData
Small business specializing in shape analytics and its application to data science, data fusion, machine learning, modeling, logistics, cyber security, & more geomdata.com Durham, NC Joined January 2019-
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The Earth’s oceans are a largely untapped potential source of electrical power generation. During our new year-long Phase I SBIR from the @ENERGY, we will be using TDA and newly available satellite observations to provide data products that can help to overcome these challenges
Excited to announce the beginning of our 1st Phase I SBIR with @USDA. Leveraging data from IoT devices, we'll use real-time, localized environmental data to improve the accuracy and availability of wind models used in wildland fire management. nifa.usda.gov/about-nifa/pre…
We are excited to announce the beginning of our first Phase I SBIR with @NOAA. Our work will include predictive capabilities for ocean surface drifters, enabling users from industry, military, and scientific research to plan, manage, and monitor a variety of missions.
Thank you to Sen. @ValFoushee & Rep. @verlainsko for supporting the One North Carolina Small Business Program! Proud to be a recipient of the NC Matching Grant Program that will help us continue to grow our small business
Today, our Senior Mathematician Ken Ball discussed building trust and transparency in AI at #RaleighDurhamStartupWeek
Our very own Ken Ball, Sr. Mathematician, will lead a panel discussion at #RaleighDurhamStartupWeek on 4/19. Learn more and register for the free sessions: raleighdurhamstartupweek.com
Existing data curation and processing of hyperspectral nanoscale imaging is a manual, time consuming, & costly task. Together with @JoshuaSchrier of @FordhamNYC, we'll develop a system to address these challenges thanks to a new year-long grant from @DOESBIR
Moving biological data from lab to analysis to usable results is often costly, slow, & unreliable. In one of our new Phase 1 DoE SBIRs, we will create a software system that makes processing biological data faster & easier, while improving the quality of results
Honored to be working on 2 of the total 150+ projects funded by @DOESBIR for the FY 2022 cycle! energy.gov/articles/doe-a…
Excited to be part of this year's cohort! We'll be working toward developing a technology to deliver wind velocity & expected drift forecasts to better plan pesticide application, reduce the incidence of off-target drift, and raise awareness of drift potential.
A single, static 3D Scatterplot can easily hide important relationships in your data. Check out our recent publication that demonstrates a better way to visually explore in 3D arxiv.org/pdf/2109.10193…
Thanks to @RIoTonSocial for hosting and to all the attendees for the great discussion!
Thanks to @RIoTonSocial for hosting and to all the attendees for the great discussion!
Are you just as fascinated with the integration of nature and tech as we are? Join us this Wednesday, 8/18 to hear @GeomData & @thinkTorus discuss their developing tech to automate image analysis of plant roots. Sign up to join this in-person L&L: meetup.com/RIoT-NC/events…
Honored and thrilled to be a part of cohort VIII!
Excited to continue our work with @DOESBIR in Phase 2! Teaming up with @Anjali_IP to make it faster, easier, and cheaper to measure plant roots and how they grow using advanced mathematics and cameras that take pictures underground. #SBIR bit.ly/3wl5SrT
We agree: It's crucial to grasp the strategic needs of the client, the desired insights, and the various constraints.
We agree: It's crucial to grasp the strategic needs of the client, the desired insights, and the various constraints.
Excellent talk today by one of our Data Scientists, Lihan Yao, on his work on our newest algorithm---LESS! Check out the paper for LESS at arxiv.org/pdf/1910.04689…
Looking for a technique to tackle challenges in IoT, audio, and oceanographic time series data? Enter wavelet scattering: a signal processing algorithm that addresses these challenges by making the most of few data. Our Data Scientist Lihan Yao explains: bit.ly/3514Nrg
At GDA, we strive to find novel applications of advanced mathematics. A just-posted paper enriches the world of database merging using measure theory, category theory, and simplicial homotopy: arxiv.org/abs/1911.11837 #Algorithms #Mathematics #DataScience
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