It's a digital world. But, ironically, there's a shortage of experienced analog design engineers out there. So laments Steve Lyle, Director of Worldwide Staffing for Texas Instruments. "Obviously, it takes an analog signal at the beginning of the design and at the end of the design to make digital work," he says. "And we're having difficulty finding engineers with five to seven years of experience who can walk in and develop high-speed, high-performance analog devices," says Lyle. One reason: Many good analog design engineers are firmly entrenched in their current companies and can't be pried away—even for salaries that are extremely competitive. Currently looking to fill dozens of openings, Lyle sees demand for analog engineers for years to come. "I hope lots of bright students in high school are going to go on to become engineers, preferably analog," he says wishfully.
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.