What about pattern recognition? Years ago neural nets were the great hope for identifying patterns in data which were not detected by human analysts. Perhaps Watson could help to identify patterns of crime in urban environments to enable preventative steps to be taken. It would be a fitting application honoring his namesake.
Good to see the clone version of Watson being used in different fields. Definitely applications of watson can truly revolutionize the way we deal with data because watson can process lot of data very quickly.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.