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Yoshihiko Nakamura (University of Tokyo)10/6/21, 10:00 AM
Computer vision, AI and robotics extend and deepen the basic research about the human by motion measurements, motion analysis, biomechanical analysis, motion semiotics, and their data science. In 2020 we started Corporate Sponsored Research Program "Human-Motion Data Science" as a three-year research program in University of Tokyo supported by the five industrial partners. Informatics on the...
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Manuela Veloso (J.P. Morgan & Carnegie Mellon University)10/6/21, 11:00 AM
After many years of research in academia on AI and autonomous robots, for the last three years, I have been the head of AI research at J.P. Morgan. During all this time, I have looked at many challenges with an AI approach, addressing knowledge, representation of states, actions, behaviors, planning, multiagent interactions, learning. In this talk, I will share several interesting problems...
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Danica Kragic (Royal Institute of Technology (KTH))10/6/21, 12:00 PM
The integral ability of any robot is to act in the environment, interact and collaborate with people and other robots. Interaction between two agents builds on the ability to engage in mutual prediction and signaling. Thus, human-robot interaction requires a system that can interpret and make use of human signaling strategies in a social context. In such scenarios, there is a need for an...
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Sami Haddadin (Technical University of Munich (TUM))10/6/21, 2:00 PM
Smart robotic systems have taken giant leaps in recent years. Important technological breakthroughs have led to the introduction of intelligent machines that meet human needs not only in factories but also in healthcare and in the service industry. Moreover, with the help of artificial intelligence, robots are now capable of learning and continuously developing new skills. Robots, connected to...
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Wolfram Burgard (University of Freiburg)10/6/21, 4:00 PM
For autonomous robots and automated driving, the capability to robustly perceive their environments and execute their actions is the ultimate goal. The key challenge is that no sensors and actuators are perfect, which means that robots and cars need the ability to properly deal with the resulting uncertainty. In this presentation, I will introduce the probabilistic approach to robotics, which...
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Caroline Uhler (Massachusetts Institute of Technology (MIT))10/6/21, 5:00 PM
Massive data collection holds the promise of a better understanding of complex phenomena and ultimately, of better decisions. An exciting opportunity in this regard stems from the growing availability of perturbation / intervention data (for example in genomics, advertisement, policy making, education, etc.). In order to obtain mechanistic insights from such data, a major challenge is the...
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Cyrill Stachniss (University of Bonn)10/7/21, 10:00 AM
Crop farming plays an essential role in our society, providing us food, feed, fiber, and fuel. We heavily rely on agricultural production but at the same time, we need to reduce the footprint of agriculture production: less input of chemicals like herbicides, fertilizer, and other limited resources. Agricultural robots and other new technologies offer promising directions to address key...
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Daniel Dahlmeier (SAP)10/7/21, 11:00 AM
AI has made significant progress and is being used in many commercial applications today. The bulk of AI adoption so far has been in B2C consumer applications, but B2B applications offer an equally exciting opportunity for AI. Developing AI for B2B applications, however, comes with its own constraints and challenges. In particular, the availability of high-quality data and a solid...
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Hans-Jörg Fischer (FOM Karlsruhe)10/7/21, 4:00 PM
The Electronic Person as Legal Consequence of the Development of General AI in the Future
The current discussion regarding AI refers foremost to „weak“ AI-scenarios, such as matter matching or OCR technology. However, provided that the development of AI continues with the current speed, the creation of a general AI, i.e. the replication of a human brain and its functions in...
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Sabine Roeser (TU Delft)10/7/21, 4:45 PM
New and potentially risky technological developments, such as related to artificial intelligence and machine learning systems, can trigger emotions and public concerns. Emotions have often been met with suspicion in debates about risk, because they are seen as contrary to rational decision making. Indeed, emotions can cloud our understanding of quantitative information about risks. However,...
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Oliver Brock (Technische Universität Berlin)10/8/21, 10:00 AM
What’s Missing? And How We Might Create a Science of Intelligence
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No other community has laid a stronger claim to the term Artificial Intelligence than the machine learning community. But truth be told, we don’t really know the mechanisms underlying natural intelligence—and therefore we cannot really know what underlies artificial analogue is either. What do we know... -
Khanlian Chung (Vector)10/8/21, 11:00 AM
AI is leaving its marks everywhere in the industry. One important question is how to integrate AI-based software in security-critical environments such as autonomous driving and modern medicine applications. The AI must perform robustly and safely. To ensure this, software that contains AI components must be tested thoroughly, which is not a trivial task: On the one hand, classic software...
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