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Ambarella ended the quarter with cash, cash equivalents, and marketable securities of $375.8 million, down from $366.2 million at the end of last quarter. January Learn how and when to remove this template message. Top Stocks to Buy in 2020 ... models based on our S3 H.265 and three AI network cameras based on our CV22 CVflow SoC. During the second quarter, we commenced mass production CV system-on-a-chip ('SoC') shipments into the automotive market and CV25 became our second CV SoC to generate mass production revenue. The optimized model runs in the Amazon SageMaker Neo runtime purpose-built for Ambarella SoCs and available for the Ambarella SDK. 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. Then they upload the model to their AWS account and use Amazon SageMaker Neo to optimize the model for Ambarella SoCs. BusinessWire: Ambarella introduces the CV22 camera SoC, the second chip in the CVflow family, combining image processing, 4Kp60 video encoding and CVflow computer vision processing in a single, low power design in 10nm process.The CV22’s CVflow architecture provides the DNN processing for the next generation of home monitoring, automotive, drone and wearable cameras. Partners. 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. GAAP = GENERALLY ACCEPTED ACCOUNTING PRINCIPLES.Our confidence in our fiscal year 2020 outlook has increased, despite the geopolitical uncertainty. Ambarella’s CV25 Camera System-on-Chip. One of the top performers in the Android space, but isn't fully out yet. 24 TOPS at 1W. 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. Ambarella, Inc. (NASDAQ: AMBA) a leading developer of high-resolution video processing and computer vision semiconductors, today introduced the CV25 camera System-on-Chip (SoC), the latest in the CVflow family, combining advanced image processing, high-resolution video encoding and CVflow computer vision processing in a single, extremely low power design. Based on Ambarella's CV22 CVflow AI processor, the new cameras feature Amazon's Next Generation Video Analytics that leverages the chips, … They can choose CV25, CV22, or CV2 as the compilation target. 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. Now, developers can simply bring their trained models to Amazon SageMaker Neo and automatically optimize the model for Ambarella CVflow-powered chips.Above: Attendees at Amazon’s annual cloud computing conference walk past the AWS logo in Las Vegas, November 30, 2017.The platform supports the Linux operating system, as well as the ThreadX real-time operating system for products that require functional safety, and it comes with a complete toolkit for image tuning, neural network porting, and computer vision algorithm development. Gyrfalcon 2803, here. Amazon SageMaker Neo compiles the trained model into an executable that is optimized for Ambarella’s CVflow neural network accelerator. This step added considerable delays and errors to the application development process.The compiler applies a series of optimizations that can make the model run up to 2 times faster on the Ambarella SoC. And it provides access and acceleration for the most common robotics functions, including stereo processing, key points extraction, neural network processing, and Open Source Computer Vision Library (OpenCV) functions.Ambarella will demonstrate the highest-end version of the platform during CES 2020 in the form of a single CV2 chip, which will perform stereo processing (up to 4Kp30 or multiple 1080p30 pairs), object detection, key points tracking, occupancy grid, and visual odometry. 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. Returns as of 07/30/2020.Ambarella CEO Fermi Wang stated: SageMaker Neo compiles the trained model into an executable made for Ambarella’s CVflow neural network accelerator. A9 from Ambarella The Oclea™ CV22 SoM key features: - Ambarella™ CV22 SoC (Quad-Core Cortex A53 CPU) - Integrated 8GB eMMC and 1GB DRAM - Built in ISP, Video DSP and CVFlow CNN/DNN acceleration - Stereo Audio Codec, uSD card connector, and WiFi/Bluetooth.