Machines as True Collaborators

  • 7 years ago
Machines as True Collaborators
mediaX at Stanford University - Mackenzie Room, Jen-Hsun Huang Engineering Center
Collaborating with Machines on the Data Wisdom Spectrum
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.

Automated Context Sensing
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.

Technology to Understand Humans
"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.

Digital Life Systems
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.