Chairs

• Dr. John N. Carbone, Raytheon 
• Dr. James A. Crowder, Raytheon
• Dr. Victor Raskin, Purdue University
• Dr. Julia M. Taylor, Purdue University

Description

Current content processing systems today are inundated with an ever increasing volume of information of various levels of sophistication and encompassing implicit content.  For generations we have tried to create sensors that produce sensory output that is of better fidelity that the last generation of sensors.  However, our processing systems continue to struggle with the volumes of data we currently produce and yet we strive to simply produce more and more data.  What has been lacking, is evaluation of whether we are actually building the correct sensors to produce the correct data.  And if we build the correct sensor, do we have the type of sensory perception technologies to process the correct data. Given the vast array of computing resources, algorithms, and processing technologies, we need to re-evaluate our sensor and sensor technology needs and gaps, and ask some basic questions: 

1. What problems are we trying to solve or questions are we trying to answer? 
2. What type of information would be needed to solve those problems or answer those questions? 
3. What type of computing resources are required to solve these problems. 
4. What type of sensors are needed to collect the information we need? 
5. What technologies are required to create these sensors? 
6. Are current sensors adequate? 
7. Is there ongoing research in this area we should know about? 

Topics