ParaGraph PI, a pen and Internet technology group headquartered in Mountain View, CA, has announced that NEC Computer Systems became the first manufacturer to include built-in natural handwriting recognition in its Microsoft(reg) Windows(reg) CE handheld PC. The MobilePro(TM) 750C H/PC features Paragraph's CalliGrapher(reg) software in ROM. Users simply write on the PC's screen and the software converts the handwriting in real-time into ASCII text. The handwriting recognition tool understands how people normally write--natural cursive, print/mixed cursive, or print. Based on patented fuzzy logic and neural network techniques, the program recognizes dictionary and non-dictionary works, as well as arbitrary symbol sequences--without any user training. The PC, which went on the market last month, sells for about $900. E-mail firstname.lastname@example.org.
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.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.