Rover Trained on GPUs Wins $750k at NASA’s Autonomous Robotics Challenge

News, Research, CUDA, cuDNN, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Robotics, Tesla

Nadeem Mohammad, posted Sep 14 2016

The team from West Virginia University took home the largest prize awarded in the five-year long NASA Sample Return Robot Challenge. This challenge began in 2012 with more than 50 teams and to qualify for the final level, the team’s autonomous robot had to return a single sample in 30 minutes. Using CUDA, and a

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Using Virtual Reality at the IBM Watson Image Recognition Hackathon

News, Research, Gaming, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Signal / Audio Processing, Virtual Reality

Nadeem Mohammad, posted Sep 13 2016

Five teams of developers gathered at the Silicon Valley Virtual Reality (SVVR) headquarters in California last month to learn about the new features of IBM Watson’s Visual Recognition service, like the ability to train and retrain custom classes on top of the stock API, that allow the service to have new and interesting use cases

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New Update to the NVIDIA Deep Learning SDK Now Help Accelerate Inference

Features, News, Research, Automotive, Autonomous, Embedded, Image Recognition, Machine Learning & Artificial Intelligence, Signal / Audio Processing

Nadeem Mohammad, posted Sep 13 2016

The latest update to the NVIDIA Deep Learning SDK includes the NVIDIA TensorRT deep learning inference engine (formerly GIE) and the new NVIDIA Deep Stream SDK. TensorRT delivers high performance inference for production deployment of deep learning applications. The latest release delivers up to 3x more throughput, using 61% less memory with new INT8 optimized

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NVIDIA Helping Developers Get Started with Deep Learning

News, Research, Automotive, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Medical and Life Sciences, Robotics

Nadeem Mohammad, posted Sep 13 2016

From self-driving cars to medical diagnostics, deep learning powered artificial intelligence is impacting nearly every industry. In 2015, NVIDIA’s Deep Learning Institute delivered more than 16,000 hours of training to help data scientists and developers master this burgeoning field of AI – and the need for deep learning training is rapidly growing. In the next

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JetPack 2.3 with TensorRT Doubles Jetson TX1 Deep Learning Inference

Features, Autonomous Vehicles, Computer Vision, Deep Learning, Embedded, Jetson TX1, Robotics

Nadeem Mohammad, posted Sep 12 2016

Deep Neural Networks (DNNs) are a powerful approach to implementing robust computer vision and artificial intelligence applications. NVIDIA Jetpack 2.3, released today, increases run-time performance of DNNs in embedded applications more than two-fold using NVIDIA TensorRT (formerly called GPU Inference Engine or GIE). With up to 20x higher power efficiency than an Intel i7 CPU during inference workloads, NVIDIA’s 1

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