To help make transportation systems smarter, researchers at #CVPR2020 competed in the fourth annual #AI City Challenge using NVIDIA GPUs for both training and inference. Learn more about the challenge and this year’s winners: nvda.ws/3hJM61Z
Very cool: same speed, different fields of view.
Your 🧠 uses objects’ velocity relative to each other to form a perception of speed.
x.com/Unexplained/st…
Meet the AI choreographer! To help automatically create a dance video, @NVIDIA researchers developed a #deeplearning model that can automatically compose new dance moves. The work is being presented at #NeurIPS2019 this week.
"Nvidia has more software engineers than hardware engineers. A GPU is a lot more than just a chip. It gets good performance through amazing compilers, libraries, frameworks, and applications.” Learn more about Bryan Catanzaro @ctnzr’s work at @nvidia: bit.ly/2J3PZym
There’s still time to participate in the AI City Challenge with plenty of great prizes for winners of all three challenge tracks. Learn more: nvda.ws/2TeAGXl
We just launched the 3rd AI City Challenge and looking for teams to participate. Learn more about how you can push the boundaries for AI-based traffic optimization. nvda.ws/2C1S2zx
To enable the next generation of robots, NVIDIA is opening a new #AI robotics research lab in Seattle led by Dieter Fox. See how they are designing a robotic kitchen assistant: nvda.ws/2RgTqsq
Check out Fluid Annotation, an exploratory machine learning–powered interface for annotating the class label and outline of every object and background region in an image, accelerating the creation of labeled datasets by a factor of 3x. goo.gl/beq3Cw
Today @NVIDIA launched the RAPIDS GPU Acceleration Platform for large-scale data analytics & machine learning. Anaconda helped NVIDIA develop these new capabilities, which will be available through our public package repository & in Anaconda Enterprise. bit.ly/2CxEPRH
Announcing the launch of Dataset Search, a new way for researchers to find the datasets they need, wherever they’re hosted, whether it’s a publisher's site, a digital library, or an author's personal web page. Learn more at goo.gl/BYSouA
Proud of the team at NVIDIA for hitting 2 first places on vision challenges at CVPR — domain adaptation is a big topic for autonomous vehicle perception. Cross-team effort across research and applied AV group.
news.developer.nvidia.com/nvidia-wins-ma… cc @aysegl_dndr
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