The AI Lab is the appliedAI infrastructure equipped with the latest hardware from our tech partners. As an appliedAI partner, you can get access to the infrastructure to test different hardware options or to train your models.
TransferLab reviews are self-contained introductions to topics relevant for machine learning practitioners and applied researchers. They strive to offer a quick entry into either cutting-edge or fundamental topics in statistics, ML and RL with a rigorous and practical analysis of key papers.
Each major topic the TransferLab works on is distilled into one or more workshops. You get guided through the theory and provide fully worked-out examples as Playbooks illustrating best practices in the field.
Technical trainings are available to partners as part of their partnership with appliedAI (to an increasing extent, depending on the partnership level), but they can also be booked individually. If you are interested in this or in becoming a partner, please contact us.
Showcases are interactive web applications illustrating selected topics using exemplary and public datasets, with a focus on interactivity and visual explanations.
Some of the code can also serve as a prototype or template and is released as open source. Access the blog here.
Have you ever asked how good the solution is that you use for setting prices, managing your supply chain or optimizing your production? At appliedAI, we assess your existing solutions on a deep technical level and provide you with a list of suggestions for improvement or alternative approaches.
The systems, platforms, and tools we are using to develop AI-Technology, services, and products are maturing slowly. There is no silver bullet that solves the very technical decisions about selecting the right tools. We help you make sense of them and take a mid-term decision towards your AI-Infrastructure, be it in the cloud or on-prem, your AI-pipelines and service-architecture and your AI-lab setup.
Read the technical insight article "Machine Learning Platform Evaluation with Wacker and Infineon" to get more insights into this engineering service and the machine learning pipeline evaluation process conducted in that project.
The appliedAI engineering team consists of 25 highly experienced AI experts that work on the hardest technical challenges and core AI applications with you. While our focus lies on reinforcement learning, computer vision, complex optimizations, and AI based discovery, we also support projects using other AI capabilities. We build PoCs together with your team in short sprints with the goal of enabling your company with the next step: Engineering complete AI solutions which are at the core of your organization.
Insights to some of our recent engineering projects can be found within the case studies ‘Machine Learning Platform Evaluation with Wacker & Infineon’, ‘Plant Optimization at Linde’ and ‘Village Data Analytics with TFE Energy’.
Often, AI applications come with significant infrastructure upgrades. Our technology and application partners support you in making the right decisions in terms of cloud vs. on-prem strategies and accompany you in the implementation.
Your Contact Person
Dr. Denise Vandeweijer
Director AI Solutions & Projects