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Amazon SageMaker Neo compiles the trained model into an executable that is optimized for Ambarella’s CVflow neural network accelerator. One of the top performers in the Android space, but isn't fully out yet. Most importantly, we continue to demonstrate strong progress on our strategy to transform from a pure video processing company to an artificial intelligence ('AI') video company. And if Ambarella can indeed sustain that momentum through the rest of the year as management hopes, I suspect patient investors are poised to enjoy even more significant gains going forward.But more specifically now, Ambarella told investors during this quarter's call that it expects fiscal third-quarter revenue of between $63 million and $67 million -- well above the $55.4 million most analysts were modeling -- with adjusted gross margin arriving between 56% and 58%.With shares up 19% in after-hours trading as of this writing, let's hone our focus for a closer look at what Ambarella accomplished over the past few months.Stock Advisor launched in February of 2002. CV22 supports computer vision processing at full 4K or 8-Megapixel resolution at 30 frames per second to enable image recognition over long distances and with high accuracy. ... (CV) tools, ISP, and cyber-security features with the existing CV22 and CV2 SoCs, allowing multiple price-performance options. The Amazon SageMaker Neo runtime occupies less than 10% of the disk and memory footprint of TensorFlow, MXNet, or PyTorch, making it much more efficient to deploy ML models on connected cameras.Ambarella and AWS collaborated to simplify the process by integrating the Ambarella toolchain with the Amazon SageMaker Neo cloud service. The model can be uploaded to customer accounts and SageMaker can be used again to optimize the model for Ambarella SoCs with the ability to choose CV25, CV22 or CV2.
Oclea™ Imager combinations. Watch every session from the AI event of the yearThe new robotics platform and its related development kits are available today and can be paired with various mono and stereo configurations, as well as rolling shutter, global shutter, and IR sensor options.Jerome Gigot, senior director of marketing at Ambarella, said the technology combines the company’s advanced imaging capabilities with its high-performance CVflow architecture for computer vision, leading to smarter and more efficient consumer and industrial robots.The robotics platform provides a unified software infrastructure for robotics perception across Ambarella’s CVflow SoC family, including the CV2, CV22, CV25, and S6LM. It also supports the Robotics Operating System (ROS) for easier development and visualization.Meanwhile, Ambarella and Amazon Web Services said customers can now use Amazon SageMaker Neo to train machine learning models once and run them on any device equipped with an Ambarella CVflow-powered AI vision system on chip (SoC).Customers can build an ML model using MXNet, TensorFlow, PyTorch, or XGBoost and train the model using Amazon SageMaker in the cloud or on their local machine. GAAP = GENERALLY ACCEPTED ACCOUNTING PRINCIPLES.Our confidence in our fiscal year 2020 outlook has increased, despite the geopolitical uncertainty. Top Stocks to Buy in 2020 ... models based on our S3 H.265 and three AI network cameras based on our CV22 CVflow SoC. Founded in 1993 by brothers Tom and David Gardner, The Motley Fool helps millions of people attain financial freedom through our website, podcasts, books, newspaper column, radio show, and premium investing services.DATA SOURCE: AMBARELLA. This high level of computer vision performance combined with Ambarella’s advanced image processing — including native support for up to 6 direct camera inputs on CV2 and 3 on CV25 — enables robotics designs that are both simpler and more powerful than traditional robotics architectures, the company said.Based on CVflow architecture, the new robotics platform targets automated guided vehicles (AGV), consumer robots, industrial robots, and emerging industry 4.0 applications.Santa Clara, California-based company will demo the robotics platform and the Amazon SageMaker Neo technology for training machine-learning models at CES 2020, the big tech trade show in Las Vegas next week.Until now, developers had to manually optimize ML models for devices based on Ambarella AI vision SoCs. Definitely the best TOPS/W of anything available. They can choose CV25, CV22, or CV2 as the compilation target. SageMaker Neo compiles the trained model into an executable made for Ambarella’s CVflow neural network accelerator. Ambarella Introduces CV22 4K SoC with CVflow™ Computer Vision Architecture New CV22 SoC targets intelligent security, automotive, drone and wearable cameras SANTA CLARA, Calif., Jan 8, 2018 — Ambarella, Inc. (NASDAQ: AMBA) a leading de-veloper of low-power, HD and Ultra HD video processing semiconductors, today intro-