About the talk (can be joined remotely or in person)
The digitization of practically everything coupled with advances in AI and machine learning, the automation of knowledge work, and advanced robotics promises a future with democratized use of machines and wide-spread use of AI, robots and customization. While the last 60 years have defined the field of industrial robots, and empowered hard bodied robots to execute complex assembly tasks in constrained industrial settings, the next 60 years could be ushering in our time with intelligent machines that can help people with physical and cognitive work. These machines will come in a diversity of forms and materials. However, the pervasive use of machines remains a hard problem. How can we accelerate the creation of machine bodies and brains customized to specific tasks? Where are the gaps that we need to address in order to advance the bodies and brains of machines? How can we develop scalable, trustworthy, and deployable reasoning AI engines? In this talk I will discuss recent developments in machine learning and robotics, focusing on how machines think, how they are designed, and how they learn.
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On a monthly basis, Munich AI Lectures invite top-level AI researchers to give a glimpse into their work and the future of AI. The Munich AI Lectures are a joint initiative of the baiosphere, Bavarian Academy of Science and Humanities (BAdW), Helmholtz Munich, Ludwig Maximilian University of Munich (LMU), Technical University of Munich (TUM), AI-HUB@LMU, ELLIS Chapter Munich, Konrad Zuse School of Excellence in Reliable AI (relAI), Munich Center for Machine Learning (MCML), Munich Data Science Institute (MDSI) at TUM, and Munich Institute of Robotics and Machine Intelligence (MIRMI).
The lectures consist of a short presentation followed by a Q&A to enable a lively discussion with our speakers. Each lecture lasts about one hour and will be streamed live on Munich AI Lectures' YouTube Channel. Recordings will be available afterwards.