Last week New York City was host to the Greener Gadgets conference, a show focusing on the greening of the consumer electronics industry where panelists and companies present their ideas and products. Mary Lou Jepsen of Pixel Qi and formerly of One Laptop Per Child (OLPC) was a keynote speaker at the event.
In her address, Jepsen presented the XO laptop, the rugged and power-efficient laptop developed by OLPC and intended for children of developing nations. One of Jepsen’s specific contributions to the XO was its sunlight-readable screen, a focus she brought to Pixel Qi.
“Pixel Qi is working on getting these screens into cell phones and conventional laptops as well as the power management architecture,” says Jepsen. “By doing that, we’ll be able to create a component that can be more broadly used in a variety of products. The way to drive cost down is to make more of something.”
The sunlight-readable screen of the XO boasts low power and low cost and uses an LED back light that can be turned on and off to conserve power when needed. When the LED back light is off, the screen only uses 100 mW.
Mary Lou Jepsen presents the XO laptop from the One Laptop Per Child organization during the Greener Gadgets conference
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
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.