Ambarella Announces Third Quarter Fiscal Year 2022 Earnings Conference Call to be Held November 30, 2021
November 09, 2021 at 05:23 am EST
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SANTA CLARA, Calif.-Nov. 9, 2021-Ambarella, Inc. (Nasdaq: AMBA), an AI vision silicon company, today announced it will hold its third quarter fiscal year 2022 earnings conference call on Tuesday, November 30th at 1:30 p.m. (Pacific Time). The company will issue its earnings release after the market closes that same day.
Those in the U.S. interested in participating should dial 877-304-8963 approximately 10 minutes prior to the start of the call. International callers should dial 760-666-4834. A webcast of the conference call will be available at: http://investor.ambarella.com/events.cfm
About Ambarella
Ambarella's products are used in a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving and robotics applications. Ambarella's low-power systems-on-chip (SoCs) offer high-resolution video compression, advanced image processing and powerful deep neural network processing to enable intelligent cameras to extract valuable data from high-resolution video streams. For more information, please visit www.ambarella.com.
Contact:
Louis Gerhardy
Corporate Development
408-636-2310
lgerhardy@ambarella.com
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Ambarella Inc. published this content on 09 November 2021 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 09 November 2021 10:22:03 UTC.
Ambarella, Inc. is a developer of low-power system-on-a-chip (SoC) semiconductors that provide artificial intelligence processing, image signal processing and video compression. The Company serves human-viewing applications with video and image processors for enterprise, public infrastructure and home applications, such as Internet protocol, security cameras, sports cameras, wearables, aerial drones, and aftermarket automotive video recorders. It is focused on creating AI technology that enables edge devices to visually perceive the environment and make decisions based on the data collected from cameras and, other types of sensors. Its CVflow-architecture supports a range of computer vision algorithms, including object detection, classification and tracking, semantic and instance segmentation, image processing, stereo object detection, terrain mapping, and face recognition. Its CVflow processes other sensor modalities, including lidar, radar, time of flight, thermal and near-infrared.