There is no one correct way to develop a robot, just as there is no singular method of imparting it with smartness. But making effort to model an intelligence after either the exact physical structure of the brain or the ephemeral human mind (instead of iterating more and more capable Roombas) is no small errands—and with no small level of vying against models and hypotheses to boot. Actually, a 2010 study of the field discovered over 2 dozen such cognitive structures actively being researched.
The present state of artificial general intelligence (AGI) study is “a very complicated question without an obvious answer,” claimed developer of the Sigma architecture and professor at USC for computer science, Paul S. Rosenbloom, to the media. “There is the field that dubs itself AGI which is a fairly latest field that is making effort to define itself in contradiction of conventional AI.” That is, “customary AI” in this logic is the single, narrow process AI we see surrounding us in floor-scrubbing maid-bots and our digital assistants.
“None of these areas or sub-fields are essentially internally well-organized or consistent,” claimed developer of the Soar architecture and Professor of Engineering at the University of Michigan, John E. Laird, to the media. He underlines out that study in these fields work as pseudo-confederations, made mostly by whoever makes decision to shows up to a particular conference. “It is very dangerous to get sufficient and necessary criteria for AGI or any of the sub fields since it is actually a social agreement of the people who make a decision to operate in the region,” he claims.
On a related note, Xiaomi has grappled to sell handsets lately, so now it is distributing its services to cater to specific class of users. In this case, it is aiming at the younger generation with the roll out of Mi CC, a new series of handsets targeting to be a trendy mobile handset for young people all over the world.