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Allied Vision’s Vimba Suite Now with Python Application Programming Interface

With the new Python API, Vimba Suite 4.0 Enables Rapid Prototyping of Vision Applications Stadtroda, Germany, May 26, 2020 – Allied Vision has released a new version of its Software Development Kit Vimba. Vimba 4.0 offers a Python Application Programming Interface (API). In addition to the established APIs for C, C++ and .NET, developers can …

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Upcoming Virtual Seminar Series Discusses Smart Devices That Understand and Seamlessly Communicate With the World Around Them

On June 2 (Communication), 3 (Connectivity and Sensing), 9 (AI and Vision), and 10 (Wireless Audio), Edge AI and Vision Alliance Member company CEVA will deliver a four-part virtual seminar series focusing on how to create smart devices that understand the world around them and seamlessly communicate. Also included in the event, and available in …

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Unified Programming Model Critical to Uncompromised Application Performance, Saves Time and Money, Study Finds

What’s New: New computing accelerators are rapidly emerging, and organizations need to examine time and financial considerations associated with developing performance-sensitive applications that can run on both new and existing computing platforms. Commissioned by Intel, a recent research report from J.Gold Associates, “oneAPI: Software Abstraction for a Heterogeneous Computing World,” discusses the importance of application …

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Training with Custom Pretrained Models Using the NVIDIA Transfer Learning Toolkit

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Supervised training of deep neural networks is now a common method of creating AI applications. To achieve accurate AI for your application, you generally need a very large dataset especially if you create… Training with Custom Pretrained Models …

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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… Speeding Up Deep Learning Inference …

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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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