Invention Machine continues its quest to draw its innovation platform into the more well-known sphere of PLM, announcing a new partnership with Siemens PLM Software to create tighter integration between the two platforms.
Invention Machine, which announced a similar deal with PLM vendor PTC in February, is pursuing these partnerships with PLM vendors to help engineers better leverage design data to bring more innovative products to market faster, officials claim. Siemens PLM Software and Invention Machine will offer the Goldfire Innovator Connector to Teamcenter software, which delivers direct access to data stored within the PLM platform, allowing design engineers to integrate engineering documents and reports while leveraging Goldfire Innovator’s problem analysis workbench and semantic knowledgebase to build structure around the innovation process.
Goldfire Innovator 4.5 offers industry-specific Risk Analysis templates, improved multi-lingual support and enhancements in the areas of search performance.
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.