Building on the work of Japanese researchers, Scott Chambers and other scientists at Pacific Northwest National Lab (PNNL) think they have a better semiconducting material that one day will lead to faster computing speeds and better data storage. Understanding why the material is better requires an understanding of spintronics—the exploitation of an electron's spin for carrying information. Today's computers use an electron's charge for storing and processing information, which is limited by speed and storage density. Conversely, magnetic storage relies on properties created by an electron's spin. Harnessing the spin creates the possibility of creating new signal processing that could increase speed and data storage densities. What makes Chamber's work on semiconducting materials important is the material's magnetic properties. "Our material has superior magnetic strength," says Chambers. "It's an improvement of nearly a factor of five," he adds. One key to the new material, made from titanium, oxygen, and cobalt, is the technique PNNL scientists use for making it. The method uses atomic beams generated in a vacuum and then directed onto a crystalline surface of strontium titanium where the atoms condense and form a thin film. The magnetic properties were tested and validated by IBM's Almaden Research Center in San Jose, CA. PNNL has turned in an invention report and is pursuing a patent application with the United States Patent and Trademark Office. For more information, call (888) 375-7665 or send e-mail to firstname.lastname@example.org.
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.