Founded in 2015 as part of IQT Labs, CosmiQ Works launched to focus on the geospatial analytics market and provide technical insights, targeted resear...

Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. Th...

CosmiQ’s Jake Shermeyer and Daniel Hogan are joined by Capella Space’s Jason Brown and IEEE Geoscience and Remote Sensing’s (GRSS) Ronny Hänsch to onc...

SpaceNet is a non-profit dedicated to accelerating open source, applied research in geospatial machine learning. In this episode, CosmiQ’s Ryan Lewis,...

Despite its application to myriad humanitarian and civil use cases, automated road network extraction from overhead satellite imagery remains quite ch...

How can lessons from geospatial computer vision applications impact bio image analysis? CosmiQ’s Dr. Nick Weir and B.Next’s Dr. Dylan George explore t...

How does emerging technology like artificial intelligence (AI) fit into the broader geopolitical landscape, particularly one that continues to rapidly...

How much labeled data does a machine learning model need in order to achieve sufficient performance? Most analyses simply use all available data and f...

Spanning three years of featuring five unique datasets and challenges, SpaceNet® continues to apply various aspects of machine learning to solve diffi...

Thank you to everyone who made the inaugural season of Training_Data possible! We will be back with new content for Season 2 in January 2020. Have a g...