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SLAMcore Debuts Full-stack Spatial AI SDK in Industry Competition

This blog post was originally published at SLAMcore’s website. It is reprinted here with the permission of SLAMcore. The three most challenging questions in autonomous robotics are: where am I? how far away are the objects around me? and, what are those objects? The vast majority of robot failures stem from an inability to answer […]

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Khronos Group Releases OpenCL 3.0

Provisional Specifications publicly available today for industry feedback Enhanced deployment flexibility sets stage for new pervasively available core functionality IWOCL – April 27, 2020 – 6:00 AM GMT – Today, The Khronos® Group, an open consortium of industry-leading companies creating advanced interoperability standards, publicly releases the OpenCL™ 3.0 Provisional Specifications. OpenCL 3.0 realigns the OpenCL

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Codeplay Implements MKL-BLAS for NVIDIA GPUs Using SYCL and DPC++

This blog post was originally published at Codeplay Software’s website. It is reprinted here with the permission of Codeplay Software. Software developers are looking more than ever at how they can accelerate their applications without having to write optimized processor specific code. SYCL is the industry standard for C++ acceleration, giving developers a platform to

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DarwinAI Makes AI Applications More Efficient and Less of a ‘Black Box’ — with Its Own AI

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. As a student pursuing a doctorate in systems design engineering at the University of Waterloo, Alexander Wong didn’t have enough money for the hardware he needed to run his experiments in computer vision. So he invented a

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Speeding Up Deep Learning Inference Using TensorRT

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This is an updated version of How to Speed Up Deep Learning Inference Using TensorRT. This version starts from a PyTorch model instead of the ONNX model, upgrades the sample application to use TensorRT 7, and replaces the

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NVIDIA VRSS, a Zero-Effort Way to Improve Your VR Image Quality

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The Virtual Reality (VR) industry is in the midst of a new hardware cycle – higher resolution headsets and better optics being the key focus points for the device manufacturers. Similarly on the software front, there has been

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Object Recognition: 3 Things You Need to Know

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. What Is Object Recognition? Object recognition is a computer vision technique for identifying objects in images or videos. Object recognition is a key output of deep learning and machine learning algorithms. When humans look at a photograph or

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Accelerating WinML and NVIDIA Tensor Cores

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Every year, clever researchers introduce ever more complex and interesting deep learning models to the world. There is of course a big difference between a model that works as a nice demo in isolation and a model that

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Machine Vision: MVTec Presents New and Optimized Features with HALCON 20.05

Rapid access to product improvements, thanks to short release cycles Deep learning training right on the CPU To be released on May 20, 2020 Munich, April 08, 2020 – MVTec Software GmbH (www.mvtec.com), the leading international provider of machine vision software, will launch a new Progress release of its standard software HALCON on May 20, 2020.

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Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and TensorRT

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Starting with TensorRT 7.0,  the Universal Framework Format (UFF) is being deprecated. In this post, you learn how to deploy TensorFlow trained deep learning models using the new TensorFlow-ONNX-TensorRT workflow. Figure 1 shows the high-level workflow of TensorRT.

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