Fresh research promises to enable engineers to design products that are smaller and much smarter. A team at the University of Maryland has created the world's tiniest transistor. Trillions of such transistors could fit on one computer chip--100 times more than is possible with current technology. Using a principle called tunneling physics, the researchers first produced a 25-nm transistor and then one as small as 10 nm. At that size, it would take 100,000 transistors to span the width of a single human hair. The advance, supported by the National Security Agency and the Naval Research Laboratory, could lead to smaller, more complex, and more efficient integrated circuits. "Whether or not this technology is adopted wide-scale by industry will come down to practical issues," says team leader Chia-Hung Yang, a professor of electrical engineering at the university.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.