Webinar on new edge AI use cases from Digi-Key & Analog Devices

28 March 2022

Digi-Key_ADI_webinar_ADI’s AI Accelerator IC Enables New Edge AI Use Cases
Digi-Key_ADI_webinar_ADI’s AI Accelerator IC Enables New Edge AI Use Cases

Digi-Key’s upcoming webinar will demonstrate how ADI’s new edge artificial intelligence (AI) accelerator significantly lowers the energy & latency needed to execute AI computations.

Component distributor, Digi-Key Electronics will host a webinar in collaboration with semiconductor firm specialising in data conversion, signal processing & power management, Analog Devices, Inc. (ADI) on Thursday April 7 at 5pm UK time entitled “AI Anywhere: ADI’s AI Accelerator IC Enables New Edge AI Use Cases”, presented by Kristopher Ardis, Executive Director of the Security, Software & Processors Group at ADI.

AI (artificial intelligence) technology continues to grow, enabling products like cars and mobile phones to see and hear the world around them, but now, embedded devices with tighter cost, size and energy constraints can also take advantage of this technology. This is bringing forth an explosion of new use cases for AI at the edge. AI requires extreme computational horsepower, but the MAX78000 is a new breed of AI microcontroller built to enable neural networks to execute at ultra-low power and live at the edge of the IoT (internet of things).

The webinar will cover:
•    The challenge of implementing Edge AI
•    Introducing a game changer with the MAX78000
•    New use cases for AI

We’ve reached an exciting point where AI technology is now small enough, fast enough, and energy efficient enough to be embedded anywhere,” said Mike Foy, Senior Product Manager of Semiconductors at Digi-Key. “We’re excited to offer Analog Devices’ cutting-edge AI accelerators, so our customers can take advantage of all of the new capabilities of this technology.

Implementing AI at the edge, particularly for machine vision and hearing, has never been practical. The mathematical computations needed to answer questions like ‘What am I looking at?’ or ‘What word did I just hear?’ take up too much time and energy to be used in small, power-constrained devices,Analog Devices’ Kristopher Ardis said. “The MAX78000 changes that – now the advanced AI computations take less than 1% of the time and energy needed by other embedded micros, meaning that even coin-cell or energy-harvested devices can make use of AI.

Ardis began his career with Analog Devices more than two decades ago as a software engineer and holds two US patents. In his current role, Ardis manages edge AI accelerators, secure microcontrollers and low power microcontrollers.

To attend the webinar, submit a registration form. If you can't attend the live webinar, Digi-Key will send the recording after the event to those who register.

For more information about Analog Devices and to order from their product portfolio, visit the Digi-Key website.


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