fbpx

Algorithms

“New Methods for Implementation of 2-D Convolution for Convolutional Neural Networks,” a Presentation from Santa Clara University

Tokunbo Ogunfunmi, Professor of Electrical Engineering and Director of the Signal Processing Research Laboratory at Santa Clara University, presents the “New Methods for Implementation of 2-D Convolution for Convolutional Neural Networks” tutorial at the September 2020 Embedded Vision Summit. The increasing usage of convolutional neural networks (CNNs) in various applications on mobile and embedded devices […]

“New Methods for Implementation of 2-D Convolution for Convolutional Neural Networks,” a Presentation from Santa Clara University Read More +

Free Webinar Explores Camera ISP Optimization For Improved Computer Vision Accuracy

On March 30, 2021 at 9 am PT (noon ET), Marc Courtemanche, Product Architect at Algolux, will present the free half-hour webinar “Optimizing a Camera ISP to Automatically Improve Computer Vision Accuracy,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Cameras are the most ubiquitous sensor used

Free Webinar Explores Camera ISP Optimization For Improved Computer Vision Accuracy Read More +

“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung

Jake Lee, Principal Engineer and Head of the Machine Learning Group at Samsung, presents the “Image-Based Deep Learning for Manufacturing Fault Condition Detection” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Lee explores applying deep learning to analyzing manufacturing parameter data to detect fault conditions. The manufacturing parameter data contains multivariate time

“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung Read More +

Building and Deploying a Face Mask Detection Application Using NGC Collections

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI workflows are complex. Building an AI application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers need easy access to software

Building and Deploying a Face Mask Detection Application Using NGC Collections Read More +

Codeplay, NERSC, ALCF Partner on SYCL

February 3, 2021 – The National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (Berkeley Lab), in collaboration with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory, has signed a contract with Codeplay Software to enhance the LLVM SYCL™ GPU compiler capabilities for NVIDIA® A100 GPUs. This collaboration will help

Codeplay, NERSC, ALCF Partner on SYCL Read More +

“Using an ISP for Real-time Data Augmentation,” a Presentation from Pony.AI

Timofey Uvarov, Camera System Lead at Pony.AI, presents the “Using an ISP for Real-time Data Augmentation” tutorial at the September 2020 Embedded Vision Summit. Image signal processors (ISPs) are tasked with processing raw pixels delivered by image sensors in order to optimize the quality of images. In computer vision applications, much attention is focused on

“Using an ISP for Real-time Data Augmentation,” a Presentation from Pony.AI Read More +

“Eye Tracking for the Future,” a Presentation from Parallel Rules

Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the Future” tutorial at the September 2020 Embedded Vision Summit. Eye tracking is an increasingly important technology for applications ranging from augmented and virtual reality head-mounted displays to automotive driver monitoring. In this talk, Milford introduces eye tracking techniques and technical challenges. He also

“Eye Tracking for the Future,” a Presentation from Parallel Rules Read More +

“Introduction to the TVM Open Source Deep Learning Compiler Stack,” a Presentation from the University of Washington

Luis Ceze, a Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, co-founder and CEO of OctoML, and Venture Partner at Madrona Venture Group, presents the “Introduction to the TVM Open Source Deep Learning Compiler Stack” tutorial at the September 2020 Embedded Vision Summit. There is an

“Introduction to the TVM Open Source Deep Learning Compiler Stack,” a Presentation from the University of Washington Read More +

New Heights for High Dynamic Range

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Advances in our HDR processing algorithms are changing the way cameras handle challenging lighting conditions. In everyday life we often encounter strong lighting contrasts—shadows under the sun, bright lamps at night, a garage door opening to reveal

New Heights for High Dynamic Range Read More +

“Imaging Systems for Applied Reinforcement Learning Control,” a Presentation from Nanotronics

Damas Limoge, Senior R&D Engineer at Nanotronics, presents the “Imaging Systems for Applied Reinforcement Learning Control” tutorial at the September 2020 Embedded Vision Summit. Reinforcement learning has generated human-level decision-making strategies in highly complex game scenarios. But most industries, such as manufacturing, have not seen impressive results from the application of these algorithms, belying the

“Imaging Systems for Applied Reinforcement Learning Control,” a Presentation from Nanotronics Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
Scroll to Top