Brian Dipert

Mobile Robotics: Increasing Flexibility Enables Increasing Efficiency in Logistics

Mobile robots have experienced substantial growth in the last decade due to their autonomous mobility, which has been propelled by advancements in robotics technology, autonomous navigation, and artificial intelligence. IDTechEx’s market research report, titled “Mobile Robotics in Logistics, Warehousing, and Delivery 2024-2044“, delves into the technical, regulatory, and market aspects influencing the emerging logistics mobile […]

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May 2023 Embedded Vision Summit Opening Remarks (May 24)

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2023 Embedded Vision Summit on May 24, 2023. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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May 2023 Embedded Vision Summit Opening Remarks (May 23)

Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2023 Embedded Vision Summit on May 23, 2023. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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The MEMS Industry: Looking Back at the Last 20 Years of Innovation and Growth

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Overcoming a global economic downturn, the MEMS market is set to grow to US$20 billion by 2028 as MEMS allow OEMs in the consumer, automotive, and other industries to optimize the cost,

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Multiclass Confusion Matrix for Object Detection

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. We introduce the Multiclass Confusion Matrix for Object Detection, a table that can help you perform failure analysis identifying otherwise unnoticeable errors, such as edge cases or non-representative issues in your data. In this article we introduce

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Selecting the Right Camera for the NVIDIA Jetson and Other Embedded Systems

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The camera module is the most integral part of an AI-based embedded system. With so many camera module choices on the market, the selection process may seem overwhelming. This post breaks down the process to help make

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May 2023 Embedded Vision Summit Vision Tank Competition Finalist Presentations

Swathi A N Kumar, Founder and CEO of BetterMeal AI (substituting for David Hojah, CEO and Founder of Parrots), Amit Mate, Founder and CEO of GMAC Intelligence, Slava Chesnokov, CTO of Lemur Imaging, Tsvi Achler, Founder of Optimizing Mind, and Robert Brown, CEO of ProHawk Technology Group, deliver their Vision Tank finalist presentations at the

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Introducing Temporian: Tryolabs and Google Venture in Temporal Data Processing

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Today marks a significant milestone for us at Tryolabs as we introduce Temporian. In collaboration with Google, we’ve designed this tool to address the multifaceted challenges of temporal data processing head-on. Let’s explore the inspiration, functionality, and

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The Global Market for Lidar in Autonomous Vehicles Will Grow to US$8.4 Billion by 2033

The demand for lidars to be adopted in the automotive industry drives huge investment and rapid progression, with innovations in beam steering technologies, performance improvement, and cost reduction in lidar transceiver components. These efforts can enable lidars to be implemented in a wider application scenario beyond conventional usage and automobiles. However, the rapidly evolving lidar

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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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