November 16th, 2018
We very much enjoyed the opportunity to deliver a talk on the inner workings of convolutional neural nets (CNNs) at the Deep Learning World conference in Berlin.
In 2015, CNNs first won against humans in the yearly ImageNet challenge on image classification. This marked a turning point in object recognition within visual data. Since then, further major advances has been made on the algorithmic and hardware side. It has never been easier to setup and run a CNN. dida made use of these technological advancements in various projects. The presentation provided the audience with insights into how object recognition projects are planned and what services are used to technically set up the project. Also major obstacles and solutions were discussed. Thanks to the audience for your active participation in the Q&A session!
March 23rd, 2020
Mathematical models cannot cure COVID-19, but they can help us to understand how the virus spreads and to take the appropriate actions to contain the pandemic.
dida's external advisor Michael...read more