Offloading work on the graphics card is becoming more trendy. Take Nvidia's CUDA core tech. IT is a "parallel computing platform and programming model" that harnesses the full power of the GPU. GPU-acceleration of this type helps handle heavy math and processes that the CPU struggles to keep up with. (That was the original idea of the GPU right? To handle that difficult floating math in 3D games and software.) With the "CUDA" tech, the GPU looks like hundreds of individual core able to handle that work like Atlas!
Again, it is elegance over brute force. Use ever resource at your disposal, don't let it sit idle. It is great that LabView to getting up to speed, pioneering even.
The company says it anticipates high-definition video for home security and other uses will be the next mature technology integrated into the IoT domain, hence the introduction of its MatrixCam devkit.
Siemens and Georgia Institute of Technology are partnering to address limitations in the current additive manufacturing design-to-production chain in an applied research project as part of the federally backed America Makes program.
Most of the new 3D printers and 3D printing technologies in this crop are breaking some boundaries, whether it's build volume-per-dollar ratios, multimaterials printing techniques, or new materials types.
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