“Introducing the i.MX 93: Your “Go-to” Processor for Embedded Vision,” a Presentation from NXP Semiconductors

Srikanth Jagannathan, Product Manager at NXP Semiconductors, presents the “Introducing the i.MX 93: Your “Go-to” Processor for Embedded Vision” tutorial at the May 2023 Embedded Vision Summit. In this presentation, you’ll learn all about NXP’s just-launched i.MX 93 applications processor family. The i.MX 93 is built with NXP’s innovative Energy Flex architecture, which delivers high […]

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“How to Select, Train, Optimize and Deploy Edge Vision AI Models in Three Days,” a Presentation from Nota AI

Steven Kim, Co-CEO of Nota America, presents the “How to Select, Train, Optimize and Deploy Edge Vision AI Models in Three Days” tutorial at the May 2023 Embedded Vision Summit. NetsPresso, as explained by Kim in this presentation, is a development pipeline that enables developers to build, optimize and deploy vision AI models faster and

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AI and Security: Ensuring That Opportunities Outweigh the Threats

Anyone with access to social media platforms will likely have heard of ChatGPT by now. Created by OpenAI and released in November 2022, the generative AI tool had 100 million registered users as of three months after release, with it – the world’s most advanced chatbot – being used to answer simple queries, write songs,

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“Optimized Image Processing for Automotive Image Sensors with Novel Color Filter Arrays,” a Presentation from Nextchip

Young-Jun Yoo, Vice President of the Automotive Business and Operations Unit at Nextchip, presents the “Optimized Image Processing for Automotive Image Sensors with Novel Color Filter Arrays” tutorial at the May 2023 Embedded Vision Summit. Traditionally, image sensors have been optimized to produce images that look natural to humans. For images consumed by algorithms, what

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“Building Large-scale Distributed Computer Vision Solutions Without Starting from Scratch,” a Presentation from Network Optix

Darren Odom, Director of Platform Business Development at Network Optix, presents the “Building Large-scale Distributed Computer Vision Solutions Without Starting from Scratch” tutorial at the May 2023 Embedded Vision Summit. Video is hard. Network Optix makes it really easy. Video has the potential to become a valuable source of operational data for business, especially with

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New ROCm 5.6 Release Brings Enhancements and Optimizations for AI and HPC Workloads

AMD to Add ROCm Support on Select RDNA 3 GPUs this Fall AI is the defining technology shaping the next generation of computing. In recent months, we have all seen how the explosion in generative AI and LLMs are revolutionizing the way we interact with technology and driving significantly more demand for high-performance computing in

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Bee Decisions Inform a New Approach to Developing Machine Autonomy

This blog post was originally published by Opteran Technologies. It is reprinted here with the permission of Opteran Technologies. We have just published more of the fundamental research into honeybee brains that led to the formation of Opteran, the Natural Intelligence company that reverse-engineers algorithms for autonomy from the brains of insects. In this work

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GMSL2 Cameras vs FPD-Link III Cameras: A Detailed Study

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. GMSL2 and FPD-Link III are two of the most popular camera interfaces used for high-bandwidth long-distance transmission. In this article, we do an in-depth comparison of all their features, camera architecture, performance, and applications. GMSL

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“Fast-track Design Cycles Using Lattice’s FPGAs,” a Presentation from Lattice Semiconductor

Hussein Osman, Segment Marketing Director at Lattice Semiconductor, presents the “Fast-track Design Cycles Using Lattice’s FPGAs” tutorial at the May 2023 Embedded Vision Summit. Being first to market can mean the difference between success and failure of a new product. But rapid product development brings challenges. With the growing use of AI in embedded vision

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Plumerai Wins MLPerf Tiny 1.1 AI Benchmark for Microcontrollers Again

This blog post was originally published at Plumerai’s website. It is reprinted here with the permission of Plumerai. New results show Plumerai leads performance on all Cortex-M platforms, now also on M0/M0+ Last year we presented our MLPerf Tiny 0.7 and MLPerf Tiny 1.0 benchmark scores, showing that our inference engine runs your AI models

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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.

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