6. Stefan Habenschuss: Building massive simulation environments at blackshark.ai

6. Stefan Habenschuss: Building massive simulation environments at blackshark.ai

Author: Manuel Pasieka May 2, 2021 Duration: 1:04:31

Have you ever been excited to browse the other side of the world on google earth? Just to be disappointed by the poor quality of the 3d reconstructions, and the limited level of detail? 

The Graz based AI company blackshark.ai has you covered!

In todays interview, Stefan Habenschuss, leading machine learning at blackshark.ai is explaining

their massive scalable aerial image segmentation system that has been used to create a digital

twin earth with more than 1.5 Billion 3d building reconstructions with an astonishing level of detail.


References:

Stefan Habenschuss : https://www.linkedin.com/in/stefan-habenschuss-708459102/

A twin earth for the Microsoft Flight simulator : https://www.youtube.com/watch?v=ng-mGNqLe6M

Massively Scalable Aerial Image Segmentation for Virtual Sensor Simulation Environments : https://lnkd.in/dafgdvm (Available after a free registration at NVIDIA's GTC event platform) 


Hosted by Manuel Pasieka, the Austrian Artificial Intelligence Podcast offers a grounded, local perspective on a global phenomenon. Instead of abstract theorizing, each conversation focuses on the tangible impact and practical applications of AI within Austria's unique ecosystem. You'll hear from a diverse range of guests-researchers, entrepreneurs, policymakers, and creatives-who are actively shaping this landscape, discussing both the remarkable opportunities and the nuanced challenges specific to the region. The discussions delve into how these technologies are being integrated into Austrian industry, academia, and society, moving beyond hype to examine real-world implementation and ethical considerations. This podcast serves as an essential audio forum for anyone in Austria, or with an interest in the European tech scene, looking to understand how artificial intelligence is evolving right here. It’s about the people behind the algorithms and the local stories within a global revolution. For those engaged with the content, questions and suggestions are always welcome at the provided email address.
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