Media Alert: BrainChip Highlights Akida 2.0 Innovations at tinyML Asia Technical Forum in Korea

Rhea-AI Summary

BrainChip Holdings Ltd will showcase new features of its Akida 2.0 architecture platform at the tinyML Asia Technical Forum in Seoul, Korea. The features include Temporal Event-based Neural Networks, Visual Transformers, and on-device learning. The Akida neural processor aims to provide an ultra-low power Edge AI network processor for various applications. BrainChip's solutions enable the creation of intelligent and cost-effective devices for industries such as healthcare, consumer electronics, and smart agriculture.

Positive

• BrainChip will showcase new features of its Akida 2.0 architecture platform at the tinyML Asia Technical Forum, which could drive interest and potential partnerships in the AI industry.
• The Akida neural processor aims to provide a complete ultra-low power Edge AI network processor for various applications, which could lead to increased adoption and demand for BrainChip's technology.
• BrainChip's scalable solutions empower the market to create more intelligent and cost-effective devices, which could result in increased sales and revenue for the company.

Negative

• No negative takes found.

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, will highlight innovative features of the Akida™ 2.0 architecture platform to attendees of the tinyML Asia Technical Forum November 16^th in Seoul, Korea.

Machine learning (ML) is at the forefront of providing artificial intelligence to all aspects of computing. It is the technology powering many of today’s advanced applications from image recognition to voice interfaces to self-driving vehicles and beyond. Many of these initial ML applications require significant computational resources, most often found in cloud-scale data centers. To enable industry usage and adoption, it is, therefore, necessary to significantly reduce the power consumed to bring applications to end devices at the cloud edge (smartphones, wearables, vehicles, IoT devices, etc.) and to reduce the load on required data center resources.

At the forum, Sean Hehir, BrainChip CEO, will showcase new Akida features, including Temporal Event-based Neural Networks (TENNs), Visual Transformers and on-device learning.

“tinyML Asia is the ideal event to meet developers and providers of ML that are pushing boundaries on intelligent services at the Edge for portable applications,” said Hehir. “We look forward to sharing the latest benefits of neuromorphic processing from Akida’s 2^nd generation that unlock complex multi-dimensional streaming applications on devices with limited memory, battery, and compute resources, untethered from the cloud.”

The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio, smart transducers, vital signs and, more broadly, any sensor application. BrainChip’s scalable solutions, which can be used standalone or integrated into systems on chip to execute today’s models and future networks directly in hardware, empowers the market to create much more intelligent, cost-effective devices and services that can be universally deployed across real-world applications in connected cars, healthcare, consumer electronics, industrial IoT, smart-agriculture and more, including use in a space mission and in the most stringent conditions.

Those interested in a private meeting with BrainChip can contact sales@brainchip.com to schedule an appointment.

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/20231026639840/en/

Media:

Mark Smith

JPR Communications

818-398-1424

Investors:

Tony Dawe

Director, Global Investor Relations

BrainChip

tdawe@brainchip.com

Source: BrainChip Holdings Ltd

FAQ

What features of the Akida 2.0 architecture platform will be showcased at the tinyML Asia Technical Forum?

The showcased features include Temporal Event-based Neural Networks, Visual Transformers, and on-device learning.

What is the purpose of the Akida neural processor?

The Akida neural processor aims to provide an ultra-low power Edge AI network processor for various applications.

What industries can benefit from BrainChip's solutions?

Industries such as healthcare, consumer electronics, and smart agriculture can benefit from BrainChip's solutions.