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August 17, 2019 | Source: New Atlas, newatlas.com, Ben Coxworth, 14 August 2019
Astro Robo-Dog Packs an AI-Enabled "Brain" in its 3D-Printed Head
Astro utilizes a deep neural network to learn new tasks through a process of trial and errors and could find use in applications such as the detection of guns and explosives,...
May 14, 2018
Determining Human Identity from Motion Patterns
How can human identity be affected by motion and behavioral patterns? This inquiry stemmed from an interest in the posted article "Learning Human Identity from Motion...
April 23, 2018
GAO Technology Assessment: Artificial Intelligence - Emerging Opportunities, Challenges, and Implications
Government Accounting Office (GAO) releases technology assessment report, GAO-18-142SP, March 2018, to the House of Representatives, Committee on Science, Space and Technology,...
April 9, 2018 | Source: MIT News, news.mit.edu, 13 March 2018, Rob Matheson
Skydio R1 Drone Autonomously Identifies/Tracks People and Objects, Navigates any Environment
Can the Skydio become your ultimate wingman? If you’re a rock climber, hiker, runner, dancer, or anyone who likes recording themselves while in motion, a personal drone companion...
October 23, 2017 | Source: Nvidia, nvidianews.nvidia.com, 10 October 2017
NVIDIA Announces World's First AI Computer to Make Robotaxis a Reality
NVIDIA unveiled the world's first artificial intelligence computer designed to drive fully autonomous robotaxis. The new system, codenamed Pegasus, extends the NVIDIA® DRIVE™ PX...
Survivability and Vulnerability
April 14, 2017 | Source: The Next Platform, nextplatform.com, 23 Aug 2016, Nicole Hemsoth
FPGA Based Deep Learning Accelerators Take on ASICs
Over the last couple of years, the idea that the most efficient and high performance way to accelerate deep learning training and inference is with a custom ASIC—something...
April 12, 2017 | Source: The Next Platform, nextplatform.com, 7 September 2016, Nicole Hemsoth
The Next Wave of Deep Learning Architectures
Intel has planted some solid stakes in the ground for the future of deep learning over the last month with its acquisition of deep learning chip startup, Nervana Systems, and most...
April 10, 2017 | Source: IEEE Access, Volume 4, ieeexplore.ieee.org, 2016, Natalia Neverova, et al.
Learning Human Identity from Motion Patterns
Google researchers present a large-scale study exploring the capability of temporal deep neural networks to interpret natural human kinematics and introduce the first method for...
Real-Time, In Situ Intelligent Video Analytics: Harnessing The Power of GPUs for Deep Learning Applications
A DATA EXPLOSION From the edges of the observable universe to medical image scanners on Earth, there is an ever-growing need to quickly process and understand large amounts of...