October 8, 2019

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Accelerating Innovation in Multi-Messenger Astrophysics with GPU-Accelerated Computing

A new paper published in Nature Reviews Physics looks into the best techniques for bringing AI-based processing to multi-messenger astrophysics. … Read more

October 3, 2019

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How DRIVE AGX, CUDA and TensorRT Achieve Fast, Accurate Autonomous Vehicle Perception

With the CUDA toolkit and TensorRT inference runtime, autonomous vehicles running on the NVIDIA DRIVE AGX platform can achieve the critical latency requirements for autonomous driving … Read more

October 1, 2019

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Inception Spotlight: New Skydio 2 Drone Powered by NVIDIA Jetson

Redwood City, California-based Skydio and member of NVIDIA’s startup accelerator, Inception, has just released the latest version of their AI capable GPU-accelerated drone, Skydio 2. … Read more

October 1, 2019

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TensorFlow 2.0 with Tighter TensorRT Integration Now Available

To help developers build scalable ML-powered applications, Google released TensorFlow 2.0, one of the core open source libraries for training deep learning models. … Read more

September 27, 2019

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Interns Top Competition with Jetson Nano at Booz Allen Summer Games Challenge

This summer, student interns at Booz Allen Hamilton bested the competition on edge computing with the help of NVIDIA Jetson Nano … Read more

September 26, 2019

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MIT Lincoln Laboratory Supercomputing Center Installs World’s Fastest Supercomputer at a University, powered by NVIDIA V100 GPUs

To power AI applications and research across engineering, science, and medicine, the Massachusetts Institute of Technology (MIT) Lincoln Laboratory Supercomputing Center has just installed a new GPU-accelerated supercomputer, powered by 896 NVIDIA Tensor Core V100 GPUs. … Read more

September 25, 2019

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Inception Spotlight: AI Startup Neurala Sees 7X Speedup with NGC

To help businesses develop custom computer vision solutions quickly, Neurala, a member of the NVIDIA’s start-up incubator Inception, has developed Brain Builder … Read more

September 25, 2019

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DRIVE Labs: Visual Feature Tracking for Autonomous Vehicles

Feature tracking, the estimation of pixel-level correspondences and pixel-level changes among adjacent video frames, is key to providing critical temporal and geometric information for object motion/velocity estimation … Read more

September 25, 2019

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A Toolkit to fine-tune deep neural networks and simplify training tasks for Intelligent Video Analytics

The TLT pre-trained models are easily accessible from NVIDIA NGC. Object detection frameworks include Faster RCNN, SSD and DetectNet_v2 (detection technology developed at NVIDIA) … Read more

Tag Archives: Computer Vision & Machine Vision

Top 5 AI Developer Stories of the Week

Accelerating Innovation in Multi-Messenger Astrophysics with GPU-Accelerated Computing

How DRIVE AGX, CUDA and TensorRT Achieve Fast, Accurate Autonomous Vehicle Perception

Inception Spotlight: New Skydio 2 Drone Powered by NVIDIA Jetson

TensorFlow 2.0 with Tighter TensorRT Integration Now Available

Interns Top Competition with Jetson Nano at Booz Allen Summer Games Challenge

MIT Lincoln Laboratory Supercomputing Center Installs World’s Fastest Supercomputer at a University, powered by NVIDIA V100 GPUs

Inception Spotlight: AI Startup Neurala Sees 7X Speedup with NGC

DRIVE Labs: Visual Feature Tracking for Autonomous Vehicles

A Toolkit to fine-tune deep neural networks and simplify training tasks for Intelligent Video Analytics

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