Mark Rumreich built a puzzle for his nephew Nathan. After building a small version of the "Nathan," he decided to ratchet up the stakes with the MEGA-NATHAN. The puzzle has a grid of 4x4 toggle switches on the face of a box. A puzzle pattern is set inside the box using a matching 4x4 switch grid. The back cover is then closed to conceal the solution from Nathan. When the front switches are set to the correct pattern, an internal buzzer buzzes, and Nathan wins. Problem is, there are 65,536 (2^16) possible switch combinations. So Mark devised a series of hints that alert Nathan to the correct solution path.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.