Living Intelligence for Cognitive, Connective, and Collaborative Lives: A New Approach to Safe, Active, and Healthy Lives
Koji Kitamura , Researcher of Living Intelligence Research Team at the Artificial Intelligence Research Center of the National Institute of Advanced Industrial Science and Technology (AIST) in Japan
Abstract: Our daily lives have problems stemming from cognitive and physical function changes. For example, children cause injury when they can do what they could not do yesterday. Similarly the elderly with dementia cannot use daily commodities as they could do previously. There are three problems in science and technology for daily living. One is a diversity problem. Person’s needs are changing and diversified when getting old. The second is a distribution problem. Necessary data for living science are distributed in multi-organizations. The third is a problem in implementing technology into field sites. Recent development of IoT and artificial intelligence paves the new way for tackling these daily problems. This talk introduces a new approach to development of daily living support technology by leveraging "cognitive", "connective", and "collaborative" artificial technology.
Yann Bocchi , Yann Bocchi, HES-SO Valais / University of Applied Sciences of Western Switzerland, Switzerland. Head of the Software Engineering Unit & Head of the ConEx Lab
Abstract: What do a driver-less shuttle, an autonomous delivery robot and a drone spraying a field have in common? They all use data to learn from the real world in order to improve their ability, as well to face new and unexpected situations. In the context of innovative mobility technologies and solutions tested by the Swiss Mobility Lab, giving the ability to autonomous systems to improve their behaviour is crucial. In his talk, Yann Bocchi will present several Swiss Mobility Lab's projects and highlight the importance of data in the learning process to quicken the adoption of such data-driven cars.