Robot Uses Deep Learning to Grasp Awkward and Unusual Objects

Research, cuDNN, GeForce, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted May 24 2017

Researchers from University of California, Berkeley and Siemens designed a robot that learns how to grip new objects just by studying a database of 3D shapes. Using a GTX 1080 GPU and cuDNN with the TensorFlow deep learning framework, the team generated 6.7 million synthetic point clouds from thousands of 3D models to train their

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Explaining How End-to-End Deep Learning Steers a Self-Driving Car

Features, Autonomous Vehicles, Deep Learning, Drive PX, Visualization

Nadeem Mohammad, posted May 23 2017

As part of a complete software stack for autonomous driving, NVIDIA has created a deep-learning-based system, known as PilotNet, which learns to emulate the behavior of human drivers and can be deployed as a self-driving car controller. PilotNet is trained using road images paired with the steering angles generated by a human driving a data-collection car. It […]

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Artificial Intelligence and Drones Help Combat Poaching in Africa

News, Research, cuDNN, Image Processing, Machine Learning & Artificial Intelligence, Robotics, Tesla, Video Processing, Workstation

Nadeem Mohammad, posted May 23 2017

Boston-based AI startup Neurala has partnered with the Lindbergh Foundation in an effort to combat poaching in Africa using intelligent drones and deep learning. “This is a terrific example of how AI technology can be a vital force for good,” said Neurala CEO Max Versace. “We’re thrilled to be working with the Lindbergh Foundation in

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Modeling Cities in 3D Using Only Image Data

Research, Cluster / Supercomputing, CUDA, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted May 19 2017

ETH Zurich scientists leveraged deep learning to automatically stich together millions of public images and video into a three-dimensional, living model of the city of Zurich. The platform called “VarCity” combines a variety of different image sources: aerial photographs, 360-degree panoramic images taken from vehicles, photos published by tourists on social networks and video material

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Developer Voices

News, Research, CUDA, Developer Voices, GeForce, Tesla

Nadeem Mohammad, posted May 19 2017

We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week: Thank you @nvidia, #GTC17 was amazing. I learned a lot about GPUs and #deeplearning and their applications and met so many great people! — Beat Buesser (@BeatBuesser) May 11, 2017 #NIPS paper submitted. Good luck to everyone

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