Take a standard 52 deck of cards and draw two cards. Can you find something in common about these two cards? ...

I often hear the same “good” reasons to not inspect blades regularly. Are these trully justified? ...

Kushal Nowbut in 2019: 20 missions, more than 100 days of fieldwork and 500 wind turbines inspected. He presents in this interview how he uses the Panoblade system and his personal record of 11 wind turbines inspected in one day. ...

To minimize our carbon foot-print and have productive trips, our teams try to take the train rather than the plane. Cornis is a data and AI company which makes working from the train even more challenging. Even if 3G/4G mobile or train WiFi is way better than the connection you have in a plane, you don’t have a good enough connection to download large datasets or to have a stable connection to our training servers. ...

Two months ago, I had a first meeting with one of the wind turbine industry leader. His goal was to use machine learning to make wind turbine inspection faster and cheaper. As for each of these meetings, I started with the question : How many errors are acceptable for you? And he answered what everyone in the industry agrees on: We can’t accept any error, our job is way too sensitive ...

Machine learning is now everywhere and seems to be able to solve most problems. But running neural network is not an easy task without a proper data science team. So more and more companies are issuing A.I. focused Request For Tender. One main challenge is: how to measure the accuracy of an algorithm? More than often we see requierements to one accuracy metric : Your Machine Learning algorithm needs to have over 90% accuracy. ...