Solving optimization problems in a completely new way
Quantum computers can solve highly complex tasks many times faster than conventional computers. Nowadays, quantum computing is being researched and tested by science, by a few governmental organizations and mainly in the aerospace sector. Together with the Volkswagen Code:Lab in San Francisco, we are validating the use of quantum computers as the world’s first automotive company. One practical example of our work is the research project for traffic flow optimization.
Intelligent systems that learn independently
Deep Learning enables the automated processing of large amounts of data in a short time, without explicitly being programmed. Our applications help automating and optimizing business processes. For example, we develop systems for solutions for after sales or use intelligent assistants in supply chain control. Another project is the use of the latest technologies to secure sensitive data against hacker attacks.
Machines that don’t just listen to you, but also ask questions
We develop systems to make the exchange between man and machine natural. In the core area of Natural Language Processing (NLP) we deal with digital assistance systems (chatbots), which can understand texts and language. Our solutions can support people in negotiations, as well as in communication and management processes: from the automation of contract validation to the analysis of repair orders in workshops and voice-based systems in the car.
Understand data, extract knowledge, make decisions
A solid foundation of information is the basis of any well-founded decision. But what if all this information is convoluted, and how do you deal with processing big sets of data? At the Data:Lab, we use the latest methods and data-science technologies to create new insights from vast amounts of information. We use tools to truly immerse ourselves into the data we are looking at to develop a better understanding of it. As a result, we are discovering deeper insights, making more accurate predictions, optimizing processes and developing new business models.
AI Research team of the Data:Lab
The AI research team focuses on basic research in the area of machine learning for time-series modelling, robotics, and more. On the basis of probabilistic mathematics, we work with unsupervised learning, optimal control and variational inference. By pursuing an open-source policy and working with numerous other international research teams and leading academic institutions, we have established a research team with AI excellence at its core.
Your future looks bright. Starting February 5th.
From 6pm on February 5th- at the Volkswagen Data:Lab & Audi Autonomous Intelligent Driving – meet and mingle with experts in the fields of machine learning, data science, automotive software & hardware development. We will be hosting this event for free on our rooftop and will be providing the food.
Ready for a bright future?
Just send ‘AI wanna meet’ to and include 4 or 5 sentences on your motivation as well as a copy of your CV or link to your LinkedIn profile. If it is a perfect match, we will ‘swipe right’ and send you an “AI rendezvous invitation”.
Please note:
like a real date, we won’t be able to refund you for any travel expenses.
Hinweis!
Externer Link: Wenn Sie auf diesen Link gehen, verlassen Sie die Seiten der Volkswagen AG. Es gelten dann gegebenenfalls etwaige Nutzungsbedingungen des Dritten. Die Volkswagen AG hat keinen Einfluss darauf, welche Daten auf der von einem Dritten angebotenen Seite von Ihnen erhoben, gespeichert oder verarbeitet werden. Nähere Informationen hierzu können Sie gegebenenfalls in der Datenschutzerklärung des Anbieters der externen Webseite finden.
Externer Link: Wenn Sie auf diesen Link gehen, verlassen Sie die Seiten der Volkswagen AG. Es gelten dann gegebenenfalls etwaige Nutzungsbedingungen des Dritten. Die Volkswagen AG hat keinen Einfluss darauf, welche Daten auf der von einem Dritten angebotenen Seite von Ihnen erhoben, gespeichert oder verarbeitet werden. Nähere Informationen hierzu können Sie gegebenenfalls in der Datenschutzerklärung des Anbieters der externen Webseite finden.
