Blog Posts

Improve Accuracy and Robustness of Vision AI Apps with Vision Transformers and NVIDIA TAO

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision Transformers (ViTs) are taking computer vision by storm, offering incredible accuracy, robust solutions for challenging real-world scenarios, and improved generalizability. The algorithms are playing a pivotal role in boosting computer vision applications and NVIDIA is making […]

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What is a Flow Cytometer and How Does It Work?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Embedded vision technology plays an important role in flow cytometers. They enable the acquisition, analysis, and interpretation of large amounts of cellular data in real time. Find out what flow cytometers can do, how they

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Floating-point Arithmetic for AI Inference: Hit or Miss?

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our latest whitepaper shows that a new floating-point format doesn’t measure up to integer when you’re quantizing AI models to run on edge devices Artificial intelligence (AI) has become pervasive in our lives, improving our phones, cars,

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How are CMOS Cameras Used In Cell Imaging and Molecular Imaging?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. CMOS cameras have revolutionized the fields of cell imaging and molecular imaging, providing accurate and detailed information about cellular and molecular processes. e-con Systems offers high-performance CMOS cameras designed for cell imaging and molecular imaging,

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Machine Learning 101: Build, Train, Test, Rinse and Repeat

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the previous episode of our Road to Data Science series, we went through all the general skills needed to become a proficient data scientist. In this post, we start to dig deeper into the specifics of

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Maximizing Attention, Minimizing Costs: Embracing Intelligent Digital Assistants with Vision and Speech Processing in the Cloud and Edge

This blog post was originally published by GMAC Intelligence. It is reprinted here with the permission of GMAC Intelligence. Humans mainly rely on speech, vision and touch to operate efficiently and effectively in the physical world. We also rely on smell and taste for our activities and our survival as well, but for most of

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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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