Robots have become indispensable in modern medicine – and in particular in minimally invasive surgery: smaller, more flexible, more specialized, more intelligent and however yet only in the function of […]
acatech on Tuesday: Artificial Intelligence in Medicine – How can its Potential be used Responsibly?
In this lecture, the opportunities and possible problems of using AI will be discussed using practice applications of AI in the healthcare system as example: AI systems that process huge […]
Challenges for Machine Learning Using Medical Data
Medical imaging is currently one of the areas where much machine learning is done both on the academic side and from startup or larger established companies. With standardized acquisition setups, […]
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Parameter Tuning for Causal Machine Learning
The meetings of the Causal Inference Working Group serve as a platform for collaboration and discussion, focussing on causal data analysis in academia and industry. Using causal techniques, the group […]
Towards Actionable XAI
The field of EXplainable Artificial Intelligence (XAI) is slowly progressing out of its infancy stage, with current developments describing a trend towards human-aligned explanations. But what what does that mean? […]
Are Causal Models Intuitive Oracles? Case Study Based on an Emergency Braking Assistant
The meetings of the Causal Inference Working Group serve as a platform for collaboration and discussion, focussing on causal data analysis in academia and industry. Using causal techniques, the group […]
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Czech-French AI Workshop
AI is a potentially transformational technology that has broad social, economic, national security, and geopolitical implications. Therefore, AI applications could have wide-ranging economic impacts across many sectors including manufacturing, transportation, […]
From Insight to Action: Key Success Factors to Industrialize Data Products for Next Best Offer/Action Analytics at an Automotive Player
After a long break, the Meetup group “Data Science @ Regensburg” will finally meet again in August! At this meeting, a former Information Science student – Lukas Feuerstein – who […]
Commerce 4.0 – AI in E-Commerce (made easy)
Commerce is currently not only changing, but is undergoing a fundamental upheaval. Digitization – additionally driven by the corona pandemic – is fueling dynamic technical change, both online and offline. […]
Artificial Intelligence: Machine Learning and Pattern Recognition
For as long as there have been computers, research has been done to breathe “artificial intelligence” into them. Although this challenge is far more complex than was predicted by pioneers […]
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