Software

“Embedded Vision Opportunities and Challenges in Retail Checkout,” an Interview with Zebra Technologies

Anatoly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, talks with Phil Lapsley, Co-Founder and Vice President of BDTI and Vice President of Business Development at the Edge AI and Vision Alliance, for the “Embedded Vision Opportunities and Challenges in Retail Checkout” interview at the May… “Embedded Vision Opportunities and Challenges […]

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Computer Vision Quarterly Snapshot – Q3 2024

Woodside Capital Partners (WCP) is pleased to share its Computer Vision and Vision AI Market Report Q3 2024, authored by Managing Partner Rudy Burger, and Associate Akhilesh Shridar. Hardware startups generally take longer to get a product to market and require more investment than software companies. Hardware has a more complicated distribution and sales structure

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How Qualcomm Technologies’ New Platforms Power the Most Demanding Applications in Extreme Environments

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The convergence of physical and digital technologies is transforming industries and driving the need for more advanced platforms to power the next generation of industrial IoT (IIoT) devices. The result is a dramatic leap in demand for

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“Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras,” a Presentation from Wyze

Lin Chen, Chief Scientist at Wyze, presents the “Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras” tutorial at the May 2024 Embedded Vision Summit. In this talk, Chen explains how Wyze delivers robust visual AI at ultra-low cost for millions of consumer smart cameras, and how his company is rapidly… “Cost-efficient, High-quality AI for Consumer-grade

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“Edge AI Optimization on Rails—Literally,” a Presentation from Wabtec

Matthew Pietrzykowski, Principal Data Scientist at Wabtec, presents the “Edge AI Optimization on Rails—Literally” tutorial at the May 2024 Embedded Vision Summit. In this talk, Pietrzykowski shares highlights from his company’s adventures developing computer vision solutions for the rail transportation industry. He begins with an introduction to the types of… “Edge AI Optimization on Rails—Literally,”

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Optimizing the CV Pipeline in Automotive Vehicle Development Using the PVA Engine

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the field of automotive vehicle software development, more large-scale AI models are being integrated into autonomous vehicles. The models range from vision AI models to end-to-end AI models for autonomous driving.  Now the demand for computing

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“How Large Language Models Are Impacting Computer Vision,” a Presentation from Voxel51

Jacob Marks, Senior ML Engineer and Researcher at Voxel51, presents the “How Large Language Models Are Impacting Computer Vision” tutorial at the May 2024 Embedded Vision Summit. Large language models (LLMs) are revolutionizing the way we interact with computers and the world around us. However, in order to truly understand… “How Large Language Models Are

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“Implementing AI/Computer Vision for Corporate Security Surveillance,” a Presentation from VMware

Prasad Saranjame, former Head of Physical Security and Resiliency at VMware, presents the “Implementing AI/Computer Vision for Corporate Security Surveillance” tutorial at the May 2024 Embedded Vision Summit. AI-enabled security cameras offer substantial benefits for corporate security and operational efficiency. However, successful deployment requires thoughtful selection of use cases and… “Implementing AI/Computer Vision for Corporate

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“Continual Learning thru Sequential, Lightweight Optimization,” a Presentation from Vision Elements

Guy Lavi, Managing Partner at Vision Elements, presents the “Continual, On-the-fly Learning through Sequential, Lightweight Optimization” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Lavi shows how techniques of sequential optimization are applied to enable continual learning during run-time, as new observations flow in. The lightweight nature… “Continual Learning thru Sequential, Lightweight

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Qualcomm and Mistral AI Partner to Bring New Generative AI Models to Edge Devices

Highlights: Qualcomm announces collaboration with Mistral AI to bring Mistral AI’s models to devices powered by Snapdragon and Qualcomm platforms. Mistral AI’s new state-of-the-art models, Ministral 3B and Ministral 8B, are being optimized to run on devices powered by the new Snapdragon 8 Elite Mobile Platform, Snapdragon Cockpit Elite and Snapdragon Ride Elite, and Snapdragon

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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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