The Clinton Administration has proposed the biggest spending boost ever for science and technology, a total of $78.2 billion. The request, part of the President's federal budget for fiscal 1999, faces a bumpy ride in Congress, however. The budget includes broad hikes for R&D in fields of energy, medicine, space, environment, and information science. The Administration earmarked $14.8 billion for research projects launched by the National Institutes of Health, an 8% gain over fiscal 1998. R&D at the Department of Energy would get $7.2 billion, up 11%, largely for the Climate Change Technology Initiative. Defense-related research would rise 5% to $4.3 billion. A 10% increase to $3.8 billion is proposed for research grants issued by the National Science Foundation. The Commerce Department's Technology Administration would get $725 million. About half of that would go for technology development and industrial outreach, mostly through the Advanced Technology Program--which keeps dodging the budget axe--and the Manufacturing Extension Partnership.
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.