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The market for autonomous driving is projected to grow from 5,7 billion in 2018 to 60 billion US-Dollars in 2030. This shows the potential this technology will have in the future and is one of the reason why the German government provided funding for project SEMULIN.
We want to give a rough overview of the topic AI from the origins to the current developments in the health industry. Because artificial intelligence is the key technology of the future, especially in the area of health. Start with Part 1 of our Health AI Series on our Youtube Channel.
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The market for smart city projects is huge and still growing. The project MARVEL aims at supporting data-driven real-time application workflows and decision-making in modern cities. For this real-time multi-modal smart city monitoring, audEERING provides its well-known acoustic scene detection.
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European Population is ageing and good working conditions are more important than ever. In a society where employment is prolonged to higher ages, a project like WorkingAge aims to promote healthy habits in working environments. audEERING is part of the consortium.
Here we are at the end of our series of Transparent AI with episode 4 of this series, talking about the applications of AI, types of AI, and the AI effect.
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The goal of the project SPEAKER is the development of an European smart speaker as competition to the American products on the market. This product should be characterized by European standards for data security. audEERING is part of the consortium to develop this solution.
In the past two episodes, we clarified the definition, and we learned one of the common ways to model emotions. In this episode, we want to see what are machine learning and artificial intelligence and how can we use them to create an AI agent.
What can AI do in the fight against the corona virus? Audio AI can really move the needle in medicine as the magazine Nature recently published. Diseases like Parkinson’s, depression and COVID-19 have one thing in common: They affect the way a person’s voice sounds.
In part 2 of the Transparent AI series we lay the foundation for the modeling of emotions in affective computing. To describe the perception of emotional express there's a 3D space usable. It's built from the dimensions valence, arousal and dominance.
In this video series, we go over some definitions, learn the basics of modeling emotions, present machine learning methods to train models, and some of the applications of emotion AI. The journey begins with the delimation of terms we mostly use in our daily life without a clear definition: emotion, feeling, affect, mood.
Mental health is an increasingly important topic in nowadays fast-moving societies. Young people are heavily affected by the requirements they face during their education and in social groups. 20 % of all youths in Germany experience mental health issues according to the German Association of Psychotherapists.