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FIRST Tech Challenge Tech Update:   Teams participating in the FIRST Tech Challenge can now use Google�s TensorFlow Machine Learning technology to detect and track Gold and Silver game elements. Teams can access Google�s TensorFlow technology through Blocks or Java programming.   TensorFlow can identify Gold and Silver game elements using an Android device�s built in camera or through an externally connected camera. A detailed tutorial is available that demonstrates how to use this TensorFlow technology is available here!  TensorFlow is Google's "machine learning" technology. It is a form of artificial intelligence. The software can "learn" and identify patterns and use this to do things like recognize when a Gold block is placed in front of the camera. For our software, Google "trained" the system (by showing it pictures of our Gold and Silver blocks in different positions and under different lighting conditions and backgrounds) so it would learn what...

Here at FIRST our mission is to inspire the next generation of technology leaders. That�s a pretty powerful mission, and one that�s hard to argue with.  The question is, how do we do that? Maybe more pointedly, how does the new FIRST Tech Challenge Android-based platform help? FIRST Tech Challenge teams are presented with a completely unstructured problem. They have a list of approved parts and an annual game . From those they must design, develop, build and test a robot. How does Android help better prepare students? While the mechanical and electrical engineering content of the program are about equivalent to prior years, the new Android operating system opens up many more opportunities for FIRST Tech Challenge participants to connect what they�re learning to the real world. FIRST Tech Challenge teams will learn how to program using Java , the backbone of the Android operating system. In doing so they will learn to be App Designers.  According to a January 2015 article ...