Processors

Implementing a Real-time, AI-Based, Face Mask Detector Application for COVID-19

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Businesses are constantly overhauling their existing infrastructure and processes to be more efficient, safe, and usable for employees, customers, and the community. With the ongoing pandemic, it’s even more important to have advanced analytics apps and services […]

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“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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“Lessons Learned from the Deployment of Deep Learning Applications In Edge Devices,” a Presentation from Hailo

Orr Danon, Founder and CEO of Hailo, presents the “Lessons Learned from the Deployment of Deep Learning Applications In Edge Devices” tutorial at the September 2020 Embedded Vision Summit. Edge applications have tough, widely varying requirements. Danon shares lessons learned from three real-world applications in which Hailo’s deep learning processor is being used to implement

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Seeing is Believing — AI-Powered Camera Sensors

This blog post is an abridged version of the Gyrfalcon white paper “AI-Powered Camera Sensors”. Computing at the Edge: Smart Cameras, Robotic Vehicles and End-Point Devices Visual data has grown volumetrically – Artificial Intelligence (AI) is transforming overwhelming amounts of video into timely and actionable intelligence at a rate like never before. AI-powered cameras at

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First Intel Structured ASIC for 5G, AI, Cloud and Edge Announced

What’s New: At Intel FPGA Technology Day, Intel announced a new, customizable solution to help accelerate application performance across 5G, artificial intelligence, cloud and edge workloads. The new Intel® eASIC N5X is the first structured eASIC family with an Intel® FPGA compatible hard processor system. The Intel eASIC N5X helps customers migrate both their custom logic

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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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“Memory Allocation in AI and Computer Vision Applications,” a Presentation from CEVA

Rami Drucker, Machine Learning System Team Leader at CEVA, presents the “Memory Allocation in AI and Computer Vision Applications” tutorial at the September 2020 Embedded Vision Summit. Efficient edge computing is the foundation underlying AI and computer vision applications in autonomous vehicles, cameras, drones and many other applications. Because deep neural networks (DNNs) are memory

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New Intel Open FPGA Stack Eases Development of Custom Platforms

What’s New: At Intel FPGA Technology Day, Intel announced the new Intel® Open FPGA Stack (Intel® OFS), a scalable, source-accessible hardware and software infrastructure delivered through git repositories that makes it easier for hardware, software and application developers to create custom acceleration platforms and solutions. In addition, Intel OFS provides standard interfaces and APIs to enable greater code

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GrAI Matter Labs Raises $14M to Bring Fastest AI per Watt to Every Device on the Edge

November 23, 2020 02:00 PM–PARIS–(BUSINESS WIRE)–GrAI Matter Labs, a pioneer of brain inspired ultra-low latency computing, today announced its latest financing round of $14 million. The round was led by iBionext, joined by all existing investors and newly welcomed Bpifrance through the Future Investment Program and Celeste Management. The company will utilize the funds to

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