According to a recent study by the U.S. Climate Action Partnership (USCAP), the U.S. economy will experience robust growth of about 70 percent through 2030 even as it adopts policies to lower greenhouse gas emissions. The study concludes that U.S. GDP will grow 70 to 71 percent through 2030, assuming the adoption of climate legislation similar to the Blueprint for Legislative Action, USCAP's set of recommendations for climate policy. In the absence of climate policy, U.S. GDP would grow at virtually the same rate — 71 to 72 percent - through 2030. The USCAP analysis was conducted using two economic models similar to those employed by the Environmental Protection Agency and the Energy Information Agency in their review of climate legislation. Read the full report.
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.