Media Alert: BrainChip and Edge Impulse Offer a Neuromorphic Deep Dive into Next-Gen Edge AI Solutions

Rhea-AI Summary

BrainChip Holdings Ltd and Edge Impulse are hosting a technical livestream on August 24 to discuss their collaborative efforts in building an ecosystem for accelerated Edge AI products. The webinar will feature live demonstrations of models running on BrainChip's AKD1000 reference SoC.

LAGUNA HILLS, Calif.--(BUSINESS WIRE)-- BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, and Edge Impulse, the edge AI platform for enterprise teams building innovative products, join to present a technical livestream discussing their collaborative efforts in building an ecosystem for accelerated Edge AI products August 24 at 9 a.m. PDT.

“A Neuromorphic Deep Dive into Next-Gen AI Solutions” features technical leads from BrainChip and Edge Impulse offering a detailed exploration of BrainChip’s Akida hardware metrics and providing a framework for designing AI models using Edge Impulse. As part of the webinar, attendees will see live demonstrations of models running on BrainChip AKD1000 reference SoC.

“The world of neuromorphic computing is a truly fascinating one and to some may be perceived as complex,” said Nikunj Kotecha, Senior Solutions Architect at BrainChip. “Through this joint webinar, BrainChip and Edge Impulse will shed more light on how we simplify the development, implementation and deployment of cutting-edge neuromorphic AI models and solutions, to drive innovation in Edge devices. It really is a can’t-miss event.”

Those interested in attending the free webinar can register at https://us06web.zoom.us/webinar/register/9116909198470/WN_zmJOA0zrRRe_oeAd_ZRvUQ#/registration

About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc

Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006

View source version on businesswire.com: https://www.businesswire.com/news/home/20230809552304/en/

Media Contact:

Mark Smith

JPR Communications

818-398-1424

Investor Contact:

Tony Dawe

Director, Global Investor Relations

tdawe@brainchip.com

Source: BrainChip Holdings Ltd

FAQ

What is the purpose of the technical livestream hosted by BrainChip Holdings Ltd and Edge Impulse?

The purpose of the technical livestream is to discuss their collaborative efforts in building an ecosystem for accelerated Edge AI products.

When will the technical livestream take place?

The technical livestream will take place on August 24 at 9 a.m. PDT.

What will be discussed during the livestream?

The livestream will feature a detailed exploration of BrainChip's Akida hardware metrics and provide a framework for designing AI models using Edge Impulse. Live demonstrations of models running on BrainChip's AKD1000 reference SoC will also be showcased.

How can I register for the webinar?

You can register for the webinar at the following link: https://us06web.zoom.us/webinar/register/9116909198470/WN_zmJOA0zrRRe_oeAd_ZRvUQ#/registration