Costa Mesa, CA--Remember soap-on-a-rope? Well, how about a computer-in-a-cube?
Irvine Sensors received the first phase, $1.3 million, of an expected $2.1 million subcontract from Boeing to develop the core of a computer system the size of a deck of cards. The hands-free system will feature advanced humionics--voice-activated controls fully integrated with the human body. While Irvine is working on the core, Boeing (Huntsville, AL) will develop the wearable computer, dubbed the Independent Processor Module (IPM) for the Defense Advanced Research Project Agency's (DARPA) Advanced Humionics Platform (AHP). AHP will provide future service personnel with the kind of integrated, portable suite of electronics and sensors needed to cope with a wide array of operational and support needs.
The module is expected to weigh less than one-half pound and blend into clothing so not to interfere with any other equipment. "Wearable computers are key to integrated communications and information management systems for the next generation warfighter," says Michael Bailey, Boeing's AHP principal investigator. "We are combining advanced power management, aggressive miniaturization, and an innovative architecture to provide a revolutionary level of processing to our knowledge not available from any supplier in a wearable system."
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.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.