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Procedural Traffic Generation: What are the Options?

This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. Providing an end-to-end environment, which can one day replace validation requires refined, high-fidelity models of every part of the world. Using aiSim’s open APIs and SDK makes sure integration of these many elements is seamless and performance …

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The Rise of Level 4 and Level 5 Autonomy

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Thanks to the commercialization of robotaxis, the driverless revolution is almost here. Modern autonomy is understood as a range of capabilities laid out on a scale—level 0 through 5. On the lower end (levels 1 and 2), …

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Sensor Fusion at the Edge: Two Perspectives

This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. Sensor fusion is a popular application for Lattice FPGAs, and that particular application is often a topic of discussion among marketing team members here at Lattice. Because of their low power consumption and small size, …

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MIPI Cameras vs USB Cameras: a Detailed Comparison

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Over the past few years, embedded vision has evolved from a buzzword to a widely adopted technology used across industrial, medical, retail, entertainment, and farming sectors. With each phase of its evolution, embedded vision has …

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Machine Learning with Jupyter: Solving the Workflow Management Problem Using Open Platforms

This blog post was originally published at ClearML’s website. It is reprinted here with the permission of ClearML. The infamous data science workflow with interconnected circles of data acquisition, wrangling, analysis, and reporting understates the multi-connectivity and non-linearity of these components. The same is true for machine learning and deep learning workflows. I understand the …

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What Do Headphones and Insect Brains Have in Common?

This blog post was originally published at Opteran Technologies’ website. It is reprinted here with the permission of Opteran Technologies. When I interviewed at Beats by Dr. Dre in 2012, I had a long conversation with Jimmy Iovine about how he and Dr. Dre founded Beats. He started by teaching me that a music producer’s …

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AI and the Future of Work

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Are robots coming for your job? Well, maybe. In a recent Intel on AI episode, Intel’s Sandra Rivera and Abigail Hing Wen sat down to talk about how artificial intelligence (AI) will impact the future of work. …

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Intelligence At Scale Through AI Model Efficiency

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research’s latest research and techniques for power and compute efficient AI, including Neural Architecture Search (NAS) AI, specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep …

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Face Tracking in Python using Xailient Face Detector and Dlib

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Face tracking is detecting a set of faces in frame 1 of a video, establishing a correspondence between the frames, and maintaining a unique ID for each of the faces throughout the video. It is being used …

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