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“Developing an Efficient Automotive Augmented Reality Solution Using Teacher-student Learning and Sprints,” a Presentation from STRADVISION

Jack Sim, CTO of STRADVISION, presents the “Developing an Efficient Automotive Augmented Reality Solution Using Teacher-student Learning and Sprints” tutorial at the May 2023 Embedded Vision Summit. ImmersiView is a deep learning–based augmented reality solution for automotive safety. It uses a head-up display to draw a driver’s attention to important objects. The development of such […]

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“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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“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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“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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“Intensive In-camera AI Vision Processing,” a Presentation from Hailo

Yaniv Iarovici, Head of Business Development at Hailo, presents the “Intensive In-camera AI Vision Processing” tutorial at the May 2023 Embedded Vision Summit. In this talk, you’ll hear about the new Hailo-15 AI vision processor family, specifically designed to empower smart cameras with unprecedented AI capabilities. Iarovici explains how the Hailo-15 family of processors—with performance

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NVIDIA Expands Isaac Software Access and Jetson Platform Availability, Accelerating Robotics From Cloud to Edge

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Coming to Microsoft Azure, Isaac Sim on Omniverse Cloud provides scalable simulation; Jetson Orin lineup, now in production, delivers accelerated computing capabilities for robotics. NVIDIA announced at GTC that Omniverse Cloud will be hosted on Microsoft Azure,

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“Challenges in Architecting Vision Inference Systems for Transformer Models,” a Presentation from Flex Logix

Cheng Wang, Co-founder and CTO of Flex Logix, presents the “Challenges in Architecting Vision Inference Systems for Transformer Models” tutorial at the May 2023 Embedded Vision Summit. When used correctly, transformer neural networks can deliver greater accuracy for less computation. But transformers are challenging for existing AI engine architectures because they use many compute functions

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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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Walnut Creek, CA 94596

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