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Kubernetes im Projekteinsatz: Q&A

Von |15. Dezember 2020|

Bei unserem Meetup mit Erfahrungsberichten zu Kubernetes im Projekteinsatz blieben einige Fragen unbeantwortet. Wir haben sie hier zusammengetragen und von unseren Expert:innen beantworten lassen. 

Bei unserem Meetup mit Erfahrungsberichten zu Kubernetes im Projekteinsatz blieben einige Fragen unbeantwortet. Wir haben sie hier zusammengetragen und von unseren Ex

ROS & Turtlebot3: A Dive into Robotics Middleware

Von |09. Dezember 2020|

This article will explain the usage of the TurtleBot3, cover the fundamentals of Stanford's Robot Operating System and some practical experiences made with SLAM and autonomous navigation.

Applications for service robots are a main part of different industries in 2020. Back in 2007 researchers at the Stanford Artificial Intelligence Laboratory started t

Moderne Produktentwicklung braucht gemeinsames Design und Entwicklung

Von |07. Dezember 2020|

Für die moderne Produktentwicklung ist es wichtig, dass Entwicklung und Design in Software- und Website-Projekten Hand in Hand gehen. Im Artikel möchten wir mit unseren positiven Erfahrungen andere motivieren, die beiden Arbeitsbereiche auch miteinander zu verbinden und so effektiver zu arbeiten. 

Über Jahre wurden Entwicklung und Design in Software- und Website-Projekten getrennt voneinander abgebildet. Für die moderne Produktentwicklung ist es jedoch wichtig,

A Close Look at the Workings of Apache Druid

Von |01. Dezember 2020|

Apache Druid is a real-time analytics database that bridges the possibility of persisting large amounts of data with that of being able to extract information from it without having to wait unreasonable amounts of time. Read this article for operational insights and tips on how to get started.

Apache Druid is a real-time analytics database that bridges the possibility of persisting large amounts of data with that of being able to extract information from it

Inverse Reinforcement Learning and Finding Proper Reward Signals for Snake-like Robots

Von |26. November 2020|

Learning is a process that can be observed across all living creatures – and also machines with the advent of sophisticated hardware and algorithms. This article introduces preference-based inverse reinforcement learning and explains how it can support a snake-like robot to learn to move forward efficiently.

Humans are constantly being taught and acquire knowledge: first by parents, later in school by teachers and at work by colleagues. In fact, learning is a process that

Building a GraphQL Example Application with Golang [Tutorial]

Von |24. November 2020|

This article teaches you the solid basics of implementing a GraphQL interface using golang and the 99designs/gqlgen library.

Most of the people reading this are probably familiar with using and implementing REST interfaces to manage data exchange between automated processes. It is a tried a

Modelling the Time-of-Arrival Using Distributions

Von |19. November 2020|

Estimating the time-of-arrival is a common Problem in many Scenarios. This post will show a Distribution-based approach that enables us to get more information about our time-of-arrival and how we could use this information for decision making in the logistics related industry.

Estimating the time-of-arrival is a common problem in a wide range of settings, e.g. in logistics. This post will show a distribution-based approach that enables us t

Deep Learning for Mobile Devices with TensorFlow Lite: Concepts and Architectures

Von |13. November 2020|

This first post tackles some of the theoretical background of on-device machine learning, including quantization and state-of-the-art model architectures for TensorFlow Lite.

The amount of mobile applications making use of some sort of machine learning is quickly increasing, just as the number of potential use cases in this area. Whenever

Grafana Annotations with Prometheus (a Deep Dive)

Von |05. November 2020|

Grafana is often used in conjunction with Prometheus to visualize time series and compose dashboards for monitoring purposes. In this blog article, I will dive deep into the specifics of Grafana annotations for data that does not fit into time series graphs – and how to use them with Prometheus as a data source.

Grafana is often used in conjunction with Prometheus to visualize time series and compose dashboards for monitoring purposes. A variety of data fits really well into

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