JetsonHacks

Developing on NVIDIA® Jetson™ for AI on the Edge

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Mark Harris over on the NVIDIA PARALLEL FORALL blog just posted details about the “The new Low-Power Image Recognition Challenge (LPIRC)”. The blog entry is worth the read, it covers […]
Deep Learning
The research paper An Empirical Evaluation of Deep Learning on Highway Driving was recently published by researchers from Stanford University, Twitter, Texas Instruments and Baidu. One of the authors is […]
At the GPU Technology Conference (GTC) 2015, there were a group of presentations, tutorials and posters centered around embedded computing using Tegra TK1 and the Jetson TK1 Development Kit. The […]
There were some good talks and workshops centered around Googles’ Project Tango Tablet. The current Project Tango hardware has a Tegra K1 processor (the same processor as the Jetson Development […]
Deep learning was the theme of GTC 2015, and an idea being explored is “RGBD Occlusion Detection via Deep Convolutional Neural Networks” by a group of researchers at United Technologies […]
One of the talks that I attended at the GPU Technology Conference was “Early Evaluation of the Jetson TK1 Development Board for Power and Performance” given by Jee Choi, a […]
The Keynotes from the GPU Technology Conference 2015 are now online. Opening Keynote – Jen-Hsun Huang NVIDIA CEO and co-founder Jen-Hsun Huang opened the show with some product announcements and […]
When STEREOLABS dropped by the NVIDIA booth, I was able to get a peek at their ZED Stereo Camera. At first glance, the camera looked to be ruggedly packaged and […]
There was a major emphasis on Tegra Automotive at the GPU Technology Conference (GTC) 2015. NVIDIA announced a new product, NVIDIA Drive PX, a $10,000 automotive development kit. The Drive […]
There were several Jetson TK1 based robotic vehicles at the GPU Technology Conference (GTC) 2015 in San Jose, California. Looky here: Officine Robotiche – Jetson Champs In the NVIDIA booth, […]

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