Blog Posts

Get a Clearer Picture of Vision Transformers’ Potential at the Edge

This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. Scenario: Corporate security staff get an alert that a video camera has detected a former employee entering an off-limits building. Scenario: A radiologist receives a flag that an MRI contains early markers for potentially abnormal tissue growth. […]

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A Buyers Guide to an NPU

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Choosing the right inference NPU (Neural Processing Unit) is a critical decision for a chip architect. There’s a lot at stake because the AI landscape constantly changes, and the choices will impact overall product cost, performance, and

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Can Compute-in-memory Bring New Benefits To Artificial Intelligence Inference?

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Compute-in-memory (CIM) is not necessarily an Artificial Intelligence (AI) solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the multiplication operation at the heart of AI model execution.

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Assembling Your Data Science Tool Belt: A Road to Machine Learning

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Welcome to the first blog post of a 4-part series where we will shed some light on data science, what we do at Tryolabs, and how to approach your journey in case you wish to start your

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What is Sports Analytics, and How is Embedded Vision Reimagining It?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Embedded vision and sports analytics go hand-in-hand as the collected image and video data can help analyze player speed/performance, ball position, etc. Find out how these two technologies have been changing the world of sports

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Face Distortion Correction for Images and Videos in Real-time

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the era of digital photography and social media, capturing and sharing images and videos has become an integral part of our lives. However, sometimes the captured content may suffer from face distortion, resulting in unrealistic or

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How Cameras Enable Vision in New-age Agricultural Robots

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Embedded vision has been transforming agriculture by enabling autonomous mobile robots to ‘see’ their environment for the purposes of picking & harvesting, plowing, weed & bug detection, etc. Jump right into this article to learn

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Bee Decisions Inform a New Approach to Developing Machine Autonomy

This blog post was originally published by Opteran Technologies. It is reprinted here with the permission of Opteran Technologies. We have just published more of the fundamental research into honeybee brains that led to the formation of Opteran, the Natural Intelligence company that reverse-engineers algorithms for autonomy from the brains of insects. In this work

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GMSL2 Cameras vs FPD-Link III Cameras: A Detailed Study

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. GMSL2 and FPD-Link III are two of the most popular camera interfaces used for high-bandwidth long-distance transmission. In this article, we do an in-depth comparison of all their features, camera architecture, performance, and applications. GMSL

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Plumerai Wins MLPerf Tiny 1.1 AI Benchmark for Microcontrollers Again

This blog post was originally published at Plumerai’s website. It is reprinted here with the permission of Plumerai. New results show Plumerai leads performance on all Cortex-M platforms, now also on M0/M0+ Last year we presented our MLPerf Tiny 0.7 and MLPerf Tiny 1.0 benchmark scores, showing that our inference engine runs your AI models

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