Deep Learning for Mobile Devices with TensorFlow Lite: Create an AI-Powered Android Application
Applications 28.05.2021
This is the third article of our blog post series about Deep Learning for mobile devices. The
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„Shouldn’t editing a Gradle build script be as much fun as developing the app? Why bother with Groovy, a language most of us know only superficially and certainly didn’t master? Couldn’t we use a language we know and like? Yes we can! Gradle Kotlin DSL to the rescue.“
Der Vortrag wurde auch beim Karlsruher Mobile Development Meetup gehalten.
Event: Meetup AndroidHeads hosted by RIAG Digital
Datum: 04.04.2019
Das GitHub Repo enthält die Vortragsfolien sowie den Code der Livedemo mit Erläuterungen und ausführlicher Step-by-Step-Anleitung.
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Jörg Ruckelshauß
Head of Marketing & Communications 
A deep-dive into Fuchsia
Applications 05.05.2021
A year ago, I finished my master's thesis on Zircon, the microkernel which is developed by Google
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Better User Experience: Removing Animations for People Troubled by Motion (CSS / Angular)
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When building websites we not only try to deliver a solid, tested and maintainable solution, we also
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