This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. We can’t listen to Newton walk us through the early days of physics, or Darwin chatting about the origins of his “Origins of Species” work. However, we can hear about the early years of artificial intelligence (AI) […]
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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
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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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
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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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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This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Fueled by data, ML models are the mathematical engines of AI, expressions of algorithms that find patterns and make predictions faster than a human can. When you shop for a car, the first question is what model
What Is a Machine Learning Model? Read More +
Henry Sang, Director of Business Development at LAON PEOPLE, presents the “Using LAON PEOPLE’s AI Machine Vision Tools to Develop Manufacturing Inspection Solutions” tutorial at the May 2021 Embedded Vision Summit. Detecting defects in parts and products is a common need in manufacturing. Sang shows how to use LAON PEOPLE’s AI machine vision tools to
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
This introductory video describes how you can accelerate AI workloads for computer vision, audio, speech, language, and recommendation systems using the Intel Distribution of OpenVINO toolkit. Watch this video to learn more about the self-paced video training series offered by Intel to help you advance your deep learning skills. The training series will take you
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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