BMW Summerschool.

FRONTIERS IN MACHINE INTELLIGENCE.
BMW Summerschool.
FRONTIERS IN MACHINE INTELLIGENCE.
BMW Summerschool.
FRONTIERS IN MACHINE INTELLIGENCE.

Highlight Topics: Artificial Intelligence and Urban Living

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Trends in Artificial Intelligence - Challenges and Opportunities in Future Urban Living

This year, the summer school will particularly focus on emerging trends in artificial intelligence and the challenges and opportunities in applying it to urban mobility and urban living overall. We will be looking into autonomous systems, next generation mobility and communications, urbanization and smart city solutions, emotion awareness and affective computing, machine learning for demand prediction and personalized recommender systems, data analytics for smart city traffic management, psychology of passengers, privacy, and consciousness, human mind and ethics of artificial intelligence, new business models and economic benefits driven by advances in artificial intelligence, societal challenges of automation and algorithmic control.

 

 

7TH FRENCH-GERMAN SUMMER SCHOOL.

FALL, BAVARIA – JULY 15 TO July 20, 2019.

PROGRAMME AND SPEAKERS TO BE ANNOUNCED SOON

MARK YOUR CALENDARS.

We will be holding the annual BMW Summer School on July 15-July 20, 2019 at Jäger von Fall - in pitoresque landscape, with cities of Bad Tölz and Lenggries, and world-renowned mountains of Karwendel in close proximity.

SUBMISSION.

We are soliciting original contributions from international PhD students and young researchers with a keen interest in shaping the future of individual mobility. The BMW Summer School is encouraging multi-disciplinary discussion and hence is calling for contributions from all fields – from computer science to electrical engineering, from economics to legal, from sociology to psychology and philosophy.

Contributions will be as single poster to be presented during the summer school. Submissions are required to be full poster submissions. The poster, a 1-page description of your research activities, a letter of motivation, together with a short CV (including list of publications and/or academic achievements) is to be submitted to Easychair EVA-2019.