Media Alert: BrainChip Introduces aTENNuate in New Technical Paper
18 September 2024 - 10:30PM
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, AkidaTM, 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
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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
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