JAX 2019

JAX 2019 is approaching and once again Christoph is contributing two sessions. This year he’s focussing on Neural Networks and explains how to use TensorFlow-Training while working with JVM. The first session on May 7th will focus on the benefits of TensorFlow while working with JVM. Although powerful and comprehensiveL frameworks exist for JVM (DL4J, […]

Understanding AI – Part 4: The basics of Machine Learning

After shedding some light onto Symbolic AI in the previous article, we’re now moving on to take a closer look at Machine Learning (ML). When it comes to Symbolic AI, breaking down a problem as minutely as possible is key for successfully solving it. Only this enables the computer to correctly access the “learned” answers […]

Understanding AI – Part 3: Methods of symbolic AI

Reading time approx. 10 minutes: In the previous article we added two distinctions to our initial definition of AI: On the one hand we distinguish between strong and weak AI (Terminator & Science Fiction vs. the scientific status quo). Also we pointed out the difference between symbolic AI and Machine Learning. Let’s remember: Symbolic AI attempts […]