Processors

“Getting Started with Vision AI Model Training,” a Presentation from NVIDIA

Algorithms & Models, NVIDIA, Processors, Software, Summit 2021, Tools, Videos /

Ekaterina Sirazitdinova, Data Scientist at NVIDIA, presents the “Getting Started with Vision AI Model Training” tutorial at the May 2021 Embedded Vision Summit. In many modern vision and graphics applications, deep neural networks (DNNs) enable state-of-the-art performance for tasks like image classification, object detection and segmentation, quality enhancement and even new content generation. In this […]

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“Khronos Group Standards: Powering the Future of Embedded Vision,” a Presentation from the Khronos Group

Algorithms & Models, Edge AI and Vision Alliance, NVIDIA, Processors, Sensors and Cameras, Software, Summit 2021, Tools, Videos /

Neil Trevett, Vice President of Developer Ecosystems at NVIDIA and President of the Khronos Group, presents the “Khronos Group Standards: Powering the Future of Embedded Vision” tutorial at the May 2021 Embedded Vision Summit. Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems. With advances in machine learning,

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Lattice Certus-NX FPGAs Optimized for Automotive Applications

Automotive, Lattice Semiconductor, News, Processors /

Best-in-class High I/O Density, Small Form Factor General Purpose FPGAs Based on Lattice Nexus Platform Now AEC-Q100 Qualified HILLSBORO, OR – August 25, 2021 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today expanded its growing portfolio of automotive products with the announcement of versions of the Lattice Certus™-NX FPGA family optimized for

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Key Differences Between Transfer Learning and Incremental Learning

BrainChip, News, Processors /

BrainChip offers insight into two widely accepted forms of deep learning Aliso Viejo, Calif. – August 24, 2021 – The massive computing resources required to train neural networks for AI/ML tasks has driven interest in two forms of learning presumed to be more efficient: transfer learning and incremental learning. Experts at BrainChip Holdings Ltd (ASX:

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“Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge,” a Presentation from Arm

Algorithms & Models, Arm, Processors, Sensors and Cameras, Software, Summit 2021, Tools, Videos /

Tim Hartley, Vice President of Product and Marketing at SeeChange Technologies (an Arm company), presents the “Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge” tutorial at the May 2021 Embedded Vision Summit. Neural networks are being used to solve an ever-increasing number of use cases, elevating the importance

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The Syntiant Journey and the Pervasive NDP

Blog Posts, Processors, Syntiant /

This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. Syntiant’s ultra-low-power AI processing enables always-on voice control for most any battery-powered device, from earbuds to laptops Around the time Syntiant was founded in 2017, our co-founder and CEO Kurt Busch had a lightbulb moment. As he

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“IoT and Vision: Why It’s a Security Minefield and How to Navigate It,” a Presentation from Arm

Arm, Processors, Sensors and Cameras, Summit 2021, Videos /

Dr. Lyndon Fawcett, Principal Software Security Architect at Arm, presents the “IoT and Vision: Why It’s a Security Minefield and How to Navigate It” tutorial at the May 2021 Embedded Vision Summit. Recent advancements in machine learning have enabled market innovators to build insights from IoT sensors in the wild. These insights can be used

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“Robust Object Detection Under Dataset Shifts,” a Presentation from Arm

Algorithms & Models, Arm, Processors, Software, Summit 2021, Tools, Videos /

Partha Maji, Principal Research Scientist at Arm’s Machine Learning Research Lab, presents the “Robust Object Detection Under Dataset Shifts” tutorial at the May 2021 Embedded Vision Summit. In image classification tasks, the evaluation of models’ robustness to increased dataset shifts with a probabilistic framework is very well studied. However, object detection (OD) tasks pose other

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“Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge,” a Presentation from EdgeCortix

Algorithms & Models, EdgeCortix, Processors, Software, Summit 2021, Tools, Videos /

Sakyasingha Dasgupta, the founder and CEO of EdgeCortix, presents the “Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge” tutorial at the May 2021 Embedded Vision Summit. Achieving high performance and power efficiency for machine learning inference at the edge requires maintaining high chip utilization, even with a batch size

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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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