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“Optimizing ML Systems for Real-World Deployment,” a Presentation from iRobot

Danielle Dean, Technical Director of Machine Learning at iRobot, presents the “Optimizing ML Systems for Real-World Deployment” tutorial at the May 2021 Embedded Vision Summit. In the real world, machine learning models are components of a broader software application or system. In this talk, Dean explores the importance of optimizing the system as a whole–not […]

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“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Gareth Cross

Independent game developer (and former technical lead of state estimation at Skydio) Gareth Cross presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the May 2021 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross aims to provide foundational knowledge, and viewers are not

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“Efficient Deep Learning for 3D Point Cloud Understanding,” a Presentation from Facebook

Bichen Wu, Research Scientist at Facebook Reality Labs, presents the “Efficient Deep Learning for 3D Point Cloud Understanding” tutorial at the May 2021 Embedded Vision Summit. Understanding the 3D environment is a crucial computer vision capability required by a growing set of applications such as autonomous driving, AR/VR and AIoT. 3D visual information, captured by

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“Modern Machine Vision from Basics to Advanced Deep Learning,” a Presentation from Deep Netts

Zoran Sevarac, Associate Professor at the University of Belgrade and Co-founder and CEO of Deep Netts, presents the “Modern Machine Vision from Basics to Advanced Deep Learning” tutorial at the May 2021 Embedded Vision Summit. In this talk, Sevarac introduces the fundamentals of deep learning for image understanding. He begins by explaining the basics of

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“Intelligent Vision System for Grains,” a Presentation from CSEM

Andrea Dunbar, Sector Head for Edge AI and Vision at CSEM, presents the “Intelligent Vision System for Grains” tutorial at the May 2021 Embedded Vision Summit. In this presentation, Dunbar discusses the challenges and lessons learned in implementing a custom intelligent vision system to detect types of grain and measure flow rate and morphology of

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Variscite and Sequitur Labs’ New Partnership Accelerates the Development of Reliable and Secure IoT Products

September 29, 2021 – Variscite, a leading worldwide System on Module vendor in the embedded market, announced a new partnership with Sequitur Labs, a leading security company providing a complete chip-to-cloud software solution for secure device design, manufacturing, and lifecycle management. The collaboration aims to deliver a complete security solution for customers using Variscite’s i.MX8

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Syntiant Brings AI Development to Everyone, Everywhere with Introduction of TinyML Platform

Tiny Machine Learning Development Board Now Available for Building Low-Power Voice, Audio and Sensor Applications using Edge Impulse’s Embedded ML Platform Smallest Form Factor in the Market Fits Tiniest Devices; Delivers 20x More Throughput at 200x Less Energy Per Inference IRVINE, Calif., September 29, 2021 – Syntiant Corp, a provider of deep learning solutions making

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Lattice mVision Solution Stack Enables 4K Video Processing at Low Power for Embedded Vision Applications

Updated Stack Delivers Higher ISP Performance, Support for LPDDR4 DRAM, and Expanded Hardware Support for Popular Vision and High Speed Data Interfaces HILLSBORO, Ore. – Sept. 22, 2021 –Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today announced updates to its award-winning Lattice mVision™ solution stack. The mVision stack now supports 4K video

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Synaptics Accelerates Low Power Edge AI Deployment with Edge Impulse Partnership

Proven software platform enables fast development of embedded ML models for Katana SoCs in power sensitive intelligent IoT applications SAN JOSE, Calif., Sept. 29, 2021 (GLOBE NEWSWIRE) –– Synaptics® Incorporated (Nasdaq: SYNA) today announced a partnership with Edge Impulse, the leading development platform for machine learning on edge devices. The partnership combines Synaptics’ Katana™ Ultra

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“A Practical Guide to Implementing ML on Embedded Devices,” a Presentation from the Chamberlain Group

Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, presents the “Practical Guide to Implementing ML on Embedded Devices” tutorial at the May 2021 Embedded Vision Summit. Deploying machine learning onto edge devices requires many choices and trade-offs. Fortunately, processor designers are adding inference-enhancing instructions and architectures to even the lowest cost

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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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