Delivering Low Power AI to the Edge

Maxim Integrated (now part of Analog Devices) invites you to join us at the tinyML Summit 2022 [Empowering Design Innovation](?utm_campaign=TS_NA_P585301_TinyML2022&utm_medium=email&utm_source=Eloqua&ADICID=TS_NA_P585301_TinyML2022&elqTrackId=418748e7fa9a4bb4a23f3709ddec864a&elq=f7264a402e3f4edd9375fd5049986c93&elqaid=3185&elqat=1&elqCampaignId=2011) | [View as Web page]( MyMaxim: [Login]( | [Register]( Maxim Integrated (now part of Analog Devices) invites you to join us at the tinyML Summit 2022 which is taking place at the Hyatt Regency San Francisco Airport Hotel on March 28-30, 2022. Here we will proudly exhibit our ground-breaking AI technology including: • MAXREFDES178 and Artificial Intelligence Applications The MAXREFDES178 cube camera reference design (based on the MAX78000 Arm® Cortex® M4F processor with an integrated Convolutional Neural Network accelerator) is a powerful demonstration platform designed to meet the space and power constraints of Artificial Intelligence (AI) applications at the edge. This battery-powered demonstration camera is built in a space-efficient form factor to performs low-power AI inferencing. We will demonstrate how it can be used for face recognition and keyword spotting. • MAX78000EVKIT This evaluation kit provides a platform for leveraging the capabilities of the MAX78000 to build next-generation AI devices. Its onboard hardware includes a digital microphone, a gyroscope/ accelerometer, parallel camera module support and a 3.5in touch-enabled colour TFT display. A secondary display, driven by a power accumulator, tracks device power consumption over time. • MAX78000FTHR The MAX78000FTHR is a rapid development platform that helps engineers quickly implement ultra-low-power AI solutions using the MAX78000. The board also includes the MAX20303 PMIC for battery and power management. The form factor is 0.9in x 2.6in dual- row header footprint that is compatible with Adafruit Feather Wing peripheral expansion boards. It also includes a variety of peripherals, such as a CMOS VGA image sensor, digital microphone, low-power stereo audio CODEC, 1MB QSPI SRAM, micro-SD card connector, RGB indicator LED, and pushbutton. We look forward to demonstrating that low-power AI is now a reality, so please [register]( now to take advantage of this great opportunity to discover how you can add AI to your edge-based applications. [Support Center]( [Manage Subscriptions]( | [Unsubscribe Maxim Promotions and Events]( | [Unsubscribe from All]( Maxim Integrated (Now Part of Analog Devices), 160 Rio Robles, San Jose, CA 95134 [Privacy Policy]( Follow us: