For makers that need way more power than a Raspberry Pi can offer.
Sourced through Scoop.it from: www.engadget.com
Hardware developers looking for a quick way to add machine learning to their devices just got some help from Nvidia. The GPU-centric company announced the Jetson TX1 developer module with an emphasis on machine learning. The device could lower the lead time needed to create machines that rely the on computations needed for dynamic input and computations. This includes: autonomous drones, facial recognition and behavioral analysis within a crowd and computer vision. Nvidia CEO Jen-Hsun Huang said, “the architecture of the computer is fundamentally changing and it’s changing right in front of us.” He pointed out how GPUs are enabling the computing power needed for machine learning features like those found being utilized by Facebook, Google and YouTube for image recognition and stabilization. By offering the TX1 to the masses, companies without the resources of the Silicon Valley giants can build their own small-scale devices without additional overhead. “We’re trying to democratize machine learning,”