Blog Posts

Transformer Models and NPU IP Co-optimized for the Edge

Transformers are taking the AI world by storm, as evidenced by super-intelligent chatbots and search queries, as well as image and art generators. These are also based on neural net technologies but programmed in a quite different way from more commonly understood convolution methods. Now transformers are starting to make their way to edge applications. […]

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Reflections from RSS: Three Reasons DL Fails at Autonomy

This blog post was originally published by Opteran Technologies. It is reprinted here with the permission of Opteran Technologies. Last week I had the pleasure of attending, and presenting at, the annual Robotics: Science and Systems (RSS) in Daegu, South Korea.  RSS ranks amongst the most prestigious of the international robotics conferences, and brings together

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Leopard Imaging and DMS: STMicroelectronics’ VB56G4A and AI are Finally Making a 20-year-old Idea Mainstream

This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. While driver-monitoring systems are not new, Leopard Imaging’s cabin camera modules at the Embedded Vision Summit in May represented a milestone because they inaugurated a path to democratization. The ST Authorized Partner already makes several in-cabin camera

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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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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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