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DeepRec.AI - The Leadership Lab Podcast - Head of Machine Learning at blackshark.ai, Stefan Habenschuss | The Leadership Lab

Head of Machine Learning at blackshark.ai, Stefan Habenschuss | The Leadership Lab

09/29/21 • 35 min

DeepRec.AI - The Leadership Lab Podcast

Stefan Habenschuss studied and lectured computer science and computational neuroscience at the University of Technology in Graz. He worked on artificial neural networks and their relation to biological neural networks as research scientist, publishing papers in high-ranking journals in computational neuroscience and machine learning. He continued his career as a software engineer at the video game company Bongfish, working on the MMOG "World of Tanks", and Microsoft's Flight Simulator 2020. He is now heading the Machine Learning team at Blackshark.ai, with the mission to recreate our planet in digital 3D, visually and semantically. His research interests include object and attribute detection, fusion of 2D and 3D geospatial data, and advancing the state-of-the-art in human-in-the-loop machine learning.
blackshark.ai provides powerful insights into the world by extracting information from satellite imagery fully automatically. A scalable artificial intelligence builds the core of the blackshark platform, detecting features with incredible precision and speed. A novel machine learning approach was developed to train a neural network for new features rapidly, enabling blackshark to serve various use cases in many different industries.
Input sources supported:
- satellite imagery
- 2D photographs (aerial, street level, ...)
- point clouds (photogrammetry or lidar)
- HD map data
- OSM
- & more
Examples for feature detection:
- buildings (footprint, height, type, roof, orientation, facade)
- vegetation
- streets
- land classification
- flood detection
- & more

Discover more insights: https://www.deeprec.ai/blog

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Stefan Habenschuss studied and lectured computer science and computational neuroscience at the University of Technology in Graz. He worked on artificial neural networks and their relation to biological neural networks as research scientist, publishing papers in high-ranking journals in computational neuroscience and machine learning. He continued his career as a software engineer at the video game company Bongfish, working on the MMOG "World of Tanks", and Microsoft's Flight Simulator 2020. He is now heading the Machine Learning team at Blackshark.ai, with the mission to recreate our planet in digital 3D, visually and semantically. His research interests include object and attribute detection, fusion of 2D and 3D geospatial data, and advancing the state-of-the-art in human-in-the-loop machine learning.
blackshark.ai provides powerful insights into the world by extracting information from satellite imagery fully automatically. A scalable artificial intelligence builds the core of the blackshark platform, detecting features with incredible precision and speed. A novel machine learning approach was developed to train a neural network for new features rapidly, enabling blackshark to serve various use cases in many different industries.
Input sources supported:
- satellite imagery
- 2D photographs (aerial, street level, ...)
- point clouds (photogrammetry or lidar)
- HD map data
- OSM
- & more
Examples for feature detection:
- buildings (footprint, height, type, roof, orientation, facade)
- vegetation
- streets
- land classification
- flood detection
- & more

Discover more insights: https://www.deeprec.ai/blog

Previous Episode

undefined - Startup CTO and Mentor, Justin Shenk | The Leadership Lab

Startup CTO and Mentor, Justin Shenk | The Leadership Lab

Justin Shenk is Co-Founder and CTO of VisioLab, AI software company providing a computer vision platform for automated checkouts in cafeterias. His background in neuroscience research.
VisioLab combine human-centered artificial intelligence with the responsibility of making data-driven decisions for a more sustainable food economy around the world.

Discover more insights: https://www.deeprec.ai/blog

Next Episode

undefined - Principal Engineer, Markus Oberweger | The Leadership Lab

Principal Engineer, Markus Oberweger | The Leadership Lab

Markus Oberweger received his PhD Degree in Computer Science from Graz University of Technology. During his studies he focused on Machine Learning methods for Computer Vision. Currently, he works as a Senior Computer Vision and Machine Learning Engineer on non-rigid 3D reconstruction at Naked Labs. Before, he worked as a Research and Teaching Associate at the Institute of Computer Graphics and Vision at Graz University of Technology, and in the industry he worked on diverse topics within Computer Vision, Machine Learning, and Software Engineering for companies such as Facebook, Siemens, Bosch, etc.
Naked Labs is a US-based start-up focused on 3D scanning, computer vision, and human-centered design. The company behind the world’s first 3D body scanner for the home, Naked Labs believes that people deserve objective knowledge about their unique bodies and envisions a world custom tailored to the individual - from fitness and nutrition, to clothing and ergonomics, to health and medicine - it all starts with the 3D body model.

Discover more insights: https://www.deeprec.ai/blog

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