Media Alert: BrainChip Introduces aTENNuate in New Technical Paper

Rhea-AI Summary

BrainChip Holdings (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) has released a technical paper introducing aTENNuate, a lightweight deep state-space autoencoder algorithm for raw audio denoising, super resolution, and de-quantization optimized for edge computing. This advancement expands BrainChip's leadership in neuromorphic event-based computing.

aTENNuate belongs to the class of state space-based networks called Temporal Neural Networks (TENNs). It can capture long-range temporal relationships in speech signals, useful for global speech patterns, noise profiles, and potentially semantic contexts. This technology complements BrainChip's Akida IP, an event-based neural processor that offers lower power consumption compared to conventional neural network accelerators.

BrainChip's event-based AI technology is expected to impact various markets, including wearable products (earbuds, hearing aids, watches, glasses) and AIoT devices in smart homes, offices, factories, and cities.

Positive

• Introduction of aTENNuate, a new audio processing algorithm optimized for edge computing
• Expansion of BrainChip's leadership in neuromorphic event-based computing
• Potential applications in wearable products and AIoT devices across various sectors

Negative

• None.

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, today released a technical paper detailing the company’s aTENNuate, a lightweight deep state-space autoencoder algorithm that can perform raw audio denoising, super resolution and de-quantization optimized for the edge.

“Real-time Speech Enhancement on Raw Signals with Deep State-space Modeling” further expands BrainChip’s leadership in the neuromorphic event-based computing space by showcasing the company’s approach in advancing state-of-the-art deep learning audio denoising methods. The white paper covers topics related to state-space modeling, network architecture, event-based benchmark experiments and future directions that such an approach can achieve.

BrainChip’s aTENNuate network belongs to the class of state space-based networks called Temporal Neural Networks (TENNs). By virtue of being a state-space model, aTENNuate can capture long-range temporal relationships present in speech signals with stable linear recurrent units. Learning long-range correlations can be useful for capturing global speech patterns or noise profiles, and perhaps implicitly capture semantic contexts to aid speech enhancement performance.

aTENNuate is the latest technological advancement added to BrainChip’s IP portfolio and an expansion of Temporal Event-Based Neural Nets (TENNs), the company’s approach to streaming and sequential data. It complements the company’s neural processor, Akida IP, an event-based technology that is inherently lower power when compared to conventional neural network accelerators. Lower power affords greater scalability and lower operational costs. BrainChip’s Akida™ supports incremental learning and high-speed inference in a wide variety of use cases. Among the markets that BrainChip’s event-based AI technology will impact are the next generation of wearable products, such as earbuds, hearing aids, watches and glasses as well as AIoT devices in the smart home, office, factory or city.

Paper is available here: https://bit.ly/3Tz1xyx

Code is available here: https://bit.ly/3MUsLMg

To access additional learning resources regarding neuromorphic AI, essential AI, TENNs and other technical achievements, interested parties are invited to visit BrainChip’s white paper library at https://brainchip.com/white-papers-case-studies/

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^TM, 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/20240918403659/en/

Media Contact:

Mark Smith

JPR Communications

818-398-1424

Investor Relations:

Tony Dawe

Director, Global Investor Relations

tdawe@brainchip.com

Source: BrainChip Holdings Ltd

FAQ

What is aTENNuate and how does it relate to BrainChip's BRCHF stock?

aTENNuate is a lightweight deep state-space autoencoder algorithm developed by BrainChip (BRCHF) for raw audio denoising, super resolution, and de-quantization optimized for edge computing. It represents a technological advancement in BrainChip's IP portfolio, potentially impacting the company's market position and stock value.

How does aTENNuate technology benefit BrainChip's BRCHF products?

aTENNuate complements BrainChip's (BRCHF) Akida IP, an event-based neural processor. It enhances the company's capabilities in processing streaming and sequential data, offering lower power consumption and greater scalability, which could lead to improved product performance and market competitiveness.

What markets could BrainChip's BRCHF stock benefit from with the new aTENNuate technology?

BrainChip's (BRCHF) aTENNuate technology could potentially benefit markets for wearable products such as earbuds, hearing aids, watches, and glasses, as well as AIoT devices in smart homes, offices, factories, and cities. This broad application range could positively impact the company's market reach and stock performance.

How does the release of the aTENNuate technical paper affect BrainChip's BRCHF market position?

The release of the aTENNuate technical paper reinforces BrainChip's (BRCHF) leadership in neuromorphic event-based computing. It demonstrates the company's ongoing innovation and could potentially strengthen its market position, attracting investor interest and possibly influencing the stock's value.