This lecture series looks pretty interesting from reading the topic summaries. Slides aren't online yet as I write this - it would be interesting if the material covers when and whether the data reduction algorithms should mimic the operation of biological systems (e.g. human/animal eye) vs. preprocessing the raw dataset in a machine-only paradigm, i.e. one where the biological system approach might end up abtracting away or losing information from raw sensor data that a machine-only paradigm could make good use of.
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.
Focus on Fundamentals consists of 45-minute on-line classes that cover a host of technologies. You learn without leaving the comfort of your desk. All classes are taught by subject-matter experts and all are archived. So if you can't attend live, attend at your convenience.