Scaling Keras Model Training to Multiple GPUs

Features, Deep Learning, Keras, MxNet

Nadeem Mohammad, posted Aug 16 2017

Keras is a powerful deep learning meta-framework which sits on top of existing frameworks such as TensorFlow and Theano. Keras is highly productive for developers; it often requires 50% less code to define a model than native APIs of deep learning

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Researchers and Robots Swarm Japan’s RoboCup Competition

Deep Learning, Intelligent Machines, Jetson

Lan Malin, posted Aug 10 2017

Some robots played soccer. Others tackled picking and packing duties in a simulated warehouse. Still others competed to see which could tackle household chores, like setting the table.

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Deep Learning Hyperparameter Optimization with Competing Objectives

Features, Deep Learning

Nadeem Mohammad, posted Aug 03 2017

In this post we’ll show how to use SigOpt’s Bayesian optimization platform to jointly optimize competing objectives in deep learning pipelines on NVIDIA GPUs more than ten times faster than traditional approaches like random search.

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JetPack 3.1 Doubles Jetson’s Low-Latency Inference Performance

Features, Autonomous Machines, Deep Learning, Embedded, Inference, Jetpack, Jetson, Robotics, TensorRT

Nadeem Mohammad, posted Jul 21 2017

Today, NVIDIA released JetPack 3.1, the production Linux software release for Jetson TX1 and TX2.

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Deep Learning for Automated Driving with MATLAB

Features, Autonomous Vehicles, Deep Learning, MATLAB

Nadeem Mohammad, posted Jul 20 2017

You’ve probably seen headlines about innovation in automated driving now that there are several cars available on the market that have some level of self-driving capability.

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AI Co-Pilot: RNNs for Dynamic Facial Analysis

Features, Autonomous Vehicles, Computer Vision, Deep Learning, Recurrent Neural Networks

Nadeem Mohammad, posted Jul 18 2017

Deep learning is enabling a revolution in how we interact with technology in our daily lives, from personalized healthcare to how we drive our cars. NVIDIA AI Co-Pilot combines deep learning and visual computing to enable augmented driving.

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How a Boston Startup Plans to Poach Poachers in Africa Using Intelligent Drones

Deep Learning, Artificial Intelligence, Social Impact

Lan Malin, posted Jun 29 2017

Across the African savanna, 25,000 elephants and 1,000 rhinos are killed by poachers each year, according to some estimates. At this rate, they’ll be extinct within two decades.

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Into the Woods: This Drone Goes Where No GPS Can

Embedded Computing, Artificial Intelligence, Deep Learning, Jetson

Lan Malin, posted Jun 09 2017

Most drones would be lost without GPS. Not this one. A drone developed by NVIDIA researchers navigates even the most far-flung, unmapped places using only deep learning and computer vision powered by NVIDIA Jetson TX1 embedded AI supercomputers.

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How NVIDIA Metropolis Is Paving the Way Toward Smarter Traffic

Deep Learning, Embedded Computing, GTC 2017, Jetson, Metropolis

Lan Malin, posted May 31 2017

Traffic. Nobody likes it, but we all have to deal with it. As the world’s cities grow more densely populated, scientists and entrepreneurs are looking for solutions to gridlock, pollution and the other byproducts of a world filled with cars.

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GTC Doubleheader: AI, Robotics Events Draws 300 Teen Technologists

Deep Learning, Embedded Computing, Education, GTC 2017, Jetson, NVIDIA Foundation

Lan Malin, posted May 17 2017

Hundreds of Ph.D.s prowled the hallways of the eighth annual GPU Technology Conference in San Jose last week to catch up on the latest developments in AI. Also in attendance were hundreds of teens, getting their first taste of what AI can offer.

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