All this to attempt to replicate the functions of a 3-lb (1.4 kg) brain that dissipates 50 watts--think about that.
And it still won't be able to work out most things which the brain does.
"We don't know how the brain works as an information-processing system, and we do need to find out." Steve Furber could have reduced his ignorance by studying some of the research of Walter Freeman :
Dr Freeman's work does not support the view that the brain processes information.
1% of brain with 1 million ARM cores is good. But how about memory? Does human brain have much more memory? Also, other part is learning, decision making and various moods of human. That will be interesting part of it.
This simulation will find out how the brain processes the information. It will be also interesting how the memory works. Because the human memory also seems to have an unlimited capacity and almost instantaneous searching speed ( many times it will beat Google!)
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.