Networking bei Online Events: Wie man fachlichen Austausch und Teambuilding unter einen Hut bekommt
In regelmäßigen Abständen veranstaltet inovex verschiedene interne Events zum Austausch innerhalb und zwischen den Teams. Was sonst gemeinsam live vor Ort stattfindet
Apache Airflow: Orchestrating Hybrid Workloads in the Cloud
At inovex we use Apache Airflow as a scheduling and orchestration tool in a wide range of d
Deep Learning for Mobile Devices with TensorFlow Lite: Train Your Custom Object Detector
This is the second article of our blog post series about TensorFlow Mo
Kubernetes im Projekteinsatz: Q&A
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
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
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
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
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]
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
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
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)
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