Ambarella
Yung-Ching Lin is a Senior Architecture Engineer at Ambarella Inc, where they are part of the architecture team building arithmetic machine learning models of directed acyclic graph vector processors. Prior to this role, Yung-Ching was a Software Architecture Engineer Intern at Ambarella Inc and a Research Assistant at National Chiao Tung University, where they collaborated with ANDES Technology on face detection deep learning models. Yung-Ching has also worked as a Teaching Assistant at NVIDIA and National Tsing Hua University, as well as a Software Development Engineer Intern at Tata Consultancy Services. Yung-Ching holds a Master of Science in Computer Engineering from Columbia University and a Bachelor of Science in Computer Science from National Tsing Hua University.
Ambarella
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Ambarella, Inc. is engaged in the development of high-definition (HD), ultra HD video compression, image processing and computer vision solutions. Its products are used in a variety of human and computer vision applications, including security camera, advanced driver assistance (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and other robotic applications. Its low-power, high-resolution video compression, image processing, and neural network processors and software enables cameras to extract data from high-resolution video streams. It provides driver assistance systems, smart electronic mirrors, drive recorders and autonomous vehicles. Its CVflow architecture supports a variety of computer vision algorithms, including stereo obstacle detection and terrain mapping technology, and allows customers to differentiate their products by porting their own algorithms and neural networks to its CVflow-based chips.