Machines as True Collaborators<br />mediaX at Stanford University - Mackenzie Room, Jen-Hsun Huang Engineering Center<br />Collaborating with Machines on the Data Wisdom Spectrum<br />Before machines, humans handled all tasks across the data-wisdom spectrum. Machines today perform low-level data and information processing tasks, freeing humans to concentrate on higher-level endeavors involving knowledge, understanding and wisdom. In the future, we will want machines to collaborate with humans at the upper end of the data-wisdom spectrum, as illustrated by representative DARPA programs.<br /><br />Automated Context Sensing<br />Automated Context Sensing projects involve designing robot or IoT behavior based on social or environmental context, as well as developing tools and applications that can sense driver/pedestrian state in automated cars or engage with them directly. For example, a navigation application that asks drivers about events in the world serves as a perfect cover story to infer their situation awareness, which then informs how the automated system should respond.<br /><br />Technology to Understand Humans<br />"Technology to Understand Humans" is under development as a next generation core technology at OMRON. Ideas for future applications to be realized through open innovation will be shown as examples.<br /><br />Digital Life Systems<br />Fujitsu's continuous, connected, and personalized "Digital Life" systems and services span several service verticals including healthcare/wellness and education/training, and user settings including consumer/enterprise and provider/client. Active research projects explore augmenting human, organizational, and systemic capabilities with computational sensing, analysis, and influence systems.
