May 28, 2020

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AI at the Edge Challenge Spotlight: Saving Bandwidth with Anomaly Detection

Most smart city applications today rely on analyzing large amounts of video data from cameras. The ability to identify and reason over the most relevant events within a video is essential to build efficient and scalable applications. … Read more

May 14, 2020

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BMW Group Selects NVIDIA to Redefine Factory Logistics

BMW Group has selected the new NVIDIA Isaac robotics platform to enhance its automotive factories — utilizing logistics robots built on advanced AI computing and visualization technologies, the companies announced today. … Read more

May 14, 2020

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NVIDIA Releases Jetson Xavier NX Developer Kit with Cloud-Native Support

NVIDIA today announced availability of the NVIDIA Jetson Xavier NX developer kit with cloud-native support — and the extension of this support to the entire NVIDIA Jetson edge computing lineup for autonomous machines. … Read more

May 6, 2020

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NVIDIA Announces GTC 2020 Keynote with CEO Jensen Huang

NVIDIA will release its GTC 2020 keynote address, featuring founder and CEO Jensen Huang, on YouTube on May 14, at 6 a.m. Pacific time. … Read more

April 30, 2020

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New NVIDIA Jetson Framework Containers Now Available on NGC

To help developers using NVIDIA Jetson Developer Kits, NVIDIA is releasing new containers on NGC that include the latest AI frameworks and dependencies. … Read more

April 22, 2020

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AI at the Edge Challenge Spotlight: Sim-to-Real, an Effective Robot Navigation Framework

Autonomous robot navigation is a hard problem that is best tackled with deep learning frameworks running on powerful AI platforms. … Read more

April 9, 2020

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GTC Digital: Learn How BMW Uses NVIDIA Technology to Develop the ‘Ultimate Industrial Autonomous Robot’

At GTC Digital 2020, BMW Group researchers shared behind-the-scenes insights about how the the company's autonomous guided vehicle, called the Smart Transport Robot (STR), navigates indoors in industrial environments. … Read more

March 25, 2020

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GTC Digital: Autonomous Machines Presentations, Demos, and Posters

Discover how developers, researchers, and roboticists are using the power of deep learning in industries like agriculture, logistics, retail, healthcare, and more. … Read more

March 25, 2020

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NVIDIA Jetson Community Project Spotlight: Point-Voxel CNN for Efficient 3D Deep Learning

In this month’s Jetson Community Project spotlight, researchers from MIT’s Han Lab developed an efficient, 3D, deep learning method for 3D object segmentation, designed to run on edge devices. … Read more

March 17, 2020

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UC Berkeley’s BADGR Robot Learns to Navigate on Its Own

UC Berkeley researchers Greg Kahn, Pieter Abbeel, and Sergey Levine developed the Berkeley Autonomous Driving Ground Robot (BADGR). The system is an end-to-end autonomous machine that can be trained with self-supervised data gathered in real-world environments and without any simulation or human supervision. … Read more

Tag Archives: Autonomous

AI at the Edge Challenge Spotlight: Saving Bandwidth with Anomaly Detection

BMW Group Selects NVIDIA to Redefine Factory Logistics

NVIDIA Releases Jetson Xavier NX Developer Kit with Cloud-Native Support

NVIDIA Announces GTC 2020 Keynote with CEO Jensen Huang

New NVIDIA Jetson Framework Containers Now Available on NGC

AI at the Edge Challenge Spotlight: Sim-to-Real, an Effective Robot Navigation Framework

GTC Digital: Learn How BMW Uses NVIDIA Technology to Develop the ‘Ultimate Industrial Autonomous Robot’

GTC Digital: Autonomous Machines Presentations, Demos, and Posters

NVIDIA Jetson Community Project Spotlight: Point-Voxel CNN for Efficient 3D Deep Learning

UC Berkeley’s BADGR Robot Learns to Navigate on Its Own

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