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“Tools and Strategies for Quickly Building Effective Image Datasets,” a Presentation from BDTI

Evan Juras, Computer Vision Engineer at BDTI, presents the “Tools and Strategies for Quickly Building Effective Image Datasets,” tutorial at the May 2021 Embedded Vision Summit. A common pain point when using machine learning for computer vision is the need to manually curate and label large quantities of training images. Depending on the application, thousands […]

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Key Differences Between Transfer Learning and Incremental Learning

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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Back to Live: Basler with Innovations at VISION 2021

As one of the leading international suppliers in the vision technology market, Basler will show what moves the industry forward at the world’s leading trade fair for machine vision: Under the heading “Forget The Problem. See The Solution.” innovative advancements and vision solutions will be presented. Ahrensburg, 24 August 2021 – Basler will be presenting

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

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

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

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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Audio Classification with PyTorch’s Ecosystem Tools

This blog post was originally published at ClearML’s website. It is reprinted here with the permission of ClearML. Audio classification with torchaudio and ClearML Audio signals are all around us. As such, there is an increasing interest in audio classification for various scenarios, from fire alarm detection for hearing impaired people, through engine sound analysis

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

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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