Software

“Deploying Deep Learning Applications on FPGAs with MATLAB,” a Presentation from MathWorks

Jack Erickson, Principal Product Marketing Manager at MathWorks, presents the “Deploying Deep Learning Applications on FPGAs with MATLAB” tutorial at the September 2020 Embedded Vision Summit. Designing deep learning networks for embedded devices is challenging because of processing and memory resource constraints. FPGAs present an even greater challenge due to the complexity of programming in […]

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“How to Create Your Own AI-Enabled Camera Solution in Days,” a Presentation from IDS Imaging Development Systems

Carsten Traupe, Director of Product Management at IDS Imaging Development Systems, presents the “How to Create Your Own AI-Enabled Camera Solution in Days” tutorial at the September 2020 Embedded Vision Summit. Cameras coupled with AI can solve numerous real-world problems. But developing an AI camera solution can be a complex and time-consuming undertaking, especially for

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DNN Model Optimization Series Part II: Model Compression – Top 10 Questions Answered

This blog post was originally published at Deeplite’s website. It is reprinted here with the permission of Deeplite. As discussed in our previous blog post, compressing large deep learning models will pave the way for many new AI applications and enable AI to assist our everyday lives. This makes model compression a hot research area,

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Gyrfalcon Launches AI-X — Full-Stack Solution for Edge-AI Development

MILPITAS, Calif., Nov. 24, 2020 /PRNewswire/ — Gyrfalcon Technology (GTI) today announced AI-X™, a new full-stack solution for AI development ideal for small and medium enterprises (SMEs). Popular applications for AI-X include edge-AI vision devices, consumer electronics, AI-camera sensors and automotive. AI-X benefits SMEs by accelerating AI product turnaround time, maximizing on-chip resource utilization, minimizing CPU

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“Designing Cameras to Detect the “Invisible”: Handling Edge Cases Without Supervision,” a Presentation from Algolux

Felix Heide, Co-Founder and Chief Technology Officer at Algolux, presents the “Designing Cameras to Detect the “Invisible”: Handling Edge Cases Without Supervision” tutorial at the September 2020 Embedded Vision Summit. Vision systems play an essential role in safety-critical applications, such as advanced driver assistance systems, autonomous vehicles, video security, and fleet management. However, today’s imaging

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Machine Vision: MVTec Sets New Standards with HALCON 20.11

Users benefit from a balanced set of features Release on November 20, 2020 Optimized core technologies / New feature: Deep OCR for deep-learning-based character recognition Munich, October 14, 2020 – MVTec Software GmbH (www.mvtec.com), a leading international provider of machine vision software, will publish a new release of its standard software HALCON (version 20.11) on

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Octonion Releases Expansion Package Dedicated to AI-Based Industrial Condition Monitoring on STMicroelectronics STM32 MCUs

The solution enables industrial-equipment vendors to quickly evaluate Octonion’s embedded AI models, running on-device learning directly on STM32 MCUs Lausanne and Geneva, Switzerland – November 18, 2020 — Octonion SA, a deep tech software company specializing in Artificial Intelligence (AI) at the Edge for industrial-equipment diagnosis, announced an STM32Cube expansion package optimized for STM32L4+ microcontroller-based

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“Qualcomm AI Leading the Way with Distributed Intelligence,” a Presentation from Qualcomm

Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Qualcomm AI Leading the Way with Distributed Intelligence” tutorial at the September 2020 Embedded Vision Summit. Qualcomm is leading the way in distributed intelligence. The company’s vision is to make all devices increasingly intelligent, giving them the ability to perceive their surroundings, to reason

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“Machine-Learning-Based Perception on a Tiny, Low-Power FPGA,” a Presentation from Lattice Semiconductor

Hoon Choi, Fellow at Lattice Semiconductor, presents the “Machine-Learning-Based Perception on a Tiny, Low-Power FPGA” tutorial at the September 2020 Embedded Vision Summit. In this tutorial, Choi presents a set of machine-learning-based perception solutions that his company implemented on a tiny (5.4 mm2 package), low-power FPGA. These solutions include hand gesture classification, human detection and

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Intel Executing toward XPU Vision with oneAPI and Intel Server GPU

What’s New: Intel today announced key milestones in its multiyear journey to deliver a mix of architectures with a unified software experience. The company announced the gold release of Intel® oneAPI toolkits coming in December, and new capabilities in its software stack as part of the Intel’s combined hardware and software design approach. Intel also debuted

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