The goal: push network speeds 10 to 1,000 times higher. The method: use semiconductor diode lasers that transmit information on tens to hundreds of different wavelength channels simultaneously through the same optical fiber. UC Berkeley Electrical Engineering Professor Constance Chang-Hasnaina hopes to push the network speeds beyond the gigabit rate by etching a microscopic, tunable laser directly on a computer chip. "Tunable lasers are available today, but they are about 100 million times larger and a million times slower than this," Chang-Hasnain says. "An integrated device that includes the laser and associated electronics would fit on the same chip and be significantly cheaper." Chang-Hasnain and colleagues etched a vertical cavity surface-emitting laser (VCSEL) directly onto a gallium arsenide chip using techniques commonly employed to make integrated circuits and microprocessors. Each laser measures only 150 by 200 microns. The professor suggested that such lasers could also be used for wavelength division multiplexed systems. This would speed communication between processors in a computer made up of many parallel processors, eliminating connections to a motherboard. FAX: (510) 643-7461.
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.
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.
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.