NXP adds GenAI Flow with Retrieval Augmented Generation (RAG) fine-tuning and eIQ Time Series Studio to its eIQ AI and machine learning development software to make it easier to deploy and use AI across a broad spectrum of edge processors, from small microcontrollers (MCUs) to larger and more powerful applications processors (MPUs) What’s New NXP […]
NXP Expands Edge AI Capabilities with eIQ Software Enablement Read More +
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
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
Computer Vision Quarterly Snapshot – Q3 2024 Read More +
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
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
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,”
“Edge AI Optimization on Rails—Literally,” a Presentation from Wabtec Read More +
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
Optimizing the CV Pipeline in Automotive Vehicle Development Using the PVA Engine Read More +
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
“How Large Language Models Are Impacting Computer Vision,” a Presentation from Voxel51 Read More +
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
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
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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