Summit 2023

“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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“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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“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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“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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“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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“Bring Your ML Models to the Edge with the DeGirum DeLight Cloud Platform,” a Presentation from DeGirum

Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, presents the “Bring Your ML Models to the Edge with the DeGirum DeLight Cloud Platform,” tutorial at the May 2023 Embedded Vision Summit. In this talk, Chilappagari presents an overview of the DeGirum DeLight Cloud Platform, which accelerates the edge AI application development process by bringing together

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“Tensilica Processor Cores Enable Sensor Fusion for Robust Perception,” a Presentation from Cadence

Amol Borkar, Product Marketing Director at Cadence, presents the “Tensilica Processor Cores Enable Sensor Fusion for Robust Perception” tutorial at the May 2023 Embedded Vision Summit. Until recently, the majority of sensor-based AI processing used vision and speech inputs. Recently, we have begun to see radar, LiDAR, event-based image sensors and other types of sensors

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“Enabling Ultra-low Power Edge Inference and On-device Learning with Akida,” a Presentation from BrainChip

Nandan Nayampally, Chief Marketing Officer at BrainChip, presents the “Enabling Ultra-low Power Edge Inference and On-device Learning with Akida” tutorial at the May 2023 Embedded Vision Summit. The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, Nayampally shows how BrainChip’s

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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