Blog Posts

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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NVIDIA Expands Isaac Software Access and Jetson Platform Availability, Accelerating Robotics From Cloud to Edge

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Coming to Microsoft Azure, Isaac Sim on Omniverse Cloud provides scalable simulation; Jetson Orin lineup, now in production, delivers accelerated computing capabilities for robotics. NVIDIA announced at GTC that Omniverse Cloud will be hosted on Microsoft Azure,

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Lens Selection for Vision Projects

This blog post was originally published at FRAMOS’ website. It is reprinted here with the permission of FRAMOS. Lenses are one of the most important components of the vision system. A wrongly chosen lens can lead to a wrong outcome in the system. Therefore, choosing the right lens is crucial to ensure optimized image quality

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GMSL Cameras vs MIPI 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. GMSL is a high-speed serial interface used in automotive video applications, robotic devices, agricultural vehicles, etc. It is a SerDes technique that enables long-distance transmission. Compared to MIPI – one of the most popular camera

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Qualcomm at CVPR 2023: Advancing Research and Bringing Generative AI to the Edge

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. ControlNet running entirely on device, fitness coaching with an LLM, 3D reconstruction for XR, our accepted papers and much more The annual IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) is regarded as one of the

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How Embedded Vision is Transforming Warehouses Using Robotics

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Robots automating warehouse operations has been instrumental in accelerating the 4th industrial revolution. Embedded vision has contributed to this transformation by powering warehouse robots with new-age camera modules. Do a deep dive into how cameras

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Announcing Norfair 2.0: An Open-source Real-time Multi-object Tracking Library

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. We are excited to announce the release of Norfair 2.0, available in GitHub and PyPI as of now. This is the biggest upgrade to Tryolabs’ open-source multi-object tracking library since its first release two years ago. For

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Solving Unsolvable Combinatorial Problems with AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How Qualcomm AI Research is optimizing hardware-specific compilers and chip design with AI Combinatorial problems are all around us. When we are faced with many choices and we need to find an optimal solution, it is often

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