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, today announced the Early
Access availability of its second-generation Akida™ IP solution for
use in a wide range of applications across the Smart Home, Smart
City, Industrial and Automotive markets.
The 2nd generation Akida platform is designed for extremely
energy-efficient processing of complex neural network models on
Edge devices. The support for 8-bit weights, activations, and
long-range skip connections expands the reach of models that are
accelerated completely in Akida’s hardware. With the exponential
increase in Cloud compute requirements for AI compounded by the
growth of Generative AI, the move towards Hybrid AI solutions needs
more capable and efficient compute at the Edge.
The introduction of Temporal Event Based Neural Nets (TENNs)
revolutionizes the advanced sequential processing for
multi-dimensional streaming and time-series data. This can
radically reduce model size and improve performance, as well as
efficiency, without compromising accuracy, which is an important
consideration for Edge devices. Reducing the model size and
improving compute density by order of magnitude, allows more
capable AI use cases to compute closer to sensor in a more secure
fashion.
Combining this with hardware acceleration of Vision Transformers
(ViT) models, which boosts vision performance, unlocks the
potential to create game-changing Edge devices that can process
advanced vision and video applications in milliwatts or audio and
other similar applications in microwatts at the sensor.
“Generative AI and LLMs at the Edge are key to intelligent
situational awareness in verticals from manufacturing to healthcare
to defense,” said Jean-Luc Chatelain, MD of Verax Capital Advisors
and former MD and Global CTO at Accenture Applied Intelligence.
“Disruptive innovation like BrainChip TENNs support Vision
Transformers built on the foundation of neuromorphic principles,
can deliver compelling solutions in ultra-low power, small form
factor devices at the Edge, without compromising accuracy.”
The second generation MetaTF software enables developers to
evaluate the capabilities of Akida, optimize, and customize their
designs to get a head start on architecting their System on a Chip
(SoC) along with their software solutions. In addition to
TensorFlow, MetaTF will support ONNX which allows for greater
compatibility across various frameworks including PyTorch.
“Multimodal Edge AI is an irreversible trend, and it is
intensifying the demands on intelligent compute required from Edge
devices,” said Zach Shelby, CEO Edge Impulse. “We’re excited that
the 2nd Generation Akida addresses the critical elements of
performance, efficiency, accuracy, and reliability needed to
accelerate this transition. Most importantly, BrainChip has been a
strategic partner that has collaborated closely with Edge Impulse
to make their solutions easy to integrate, develop and deploy to
the market.”
Akida processors power the next generation of Edge AI devices
that enable growth in intelligence in industrial, home, automotive
and other IoT environments. Akida’s fully digital, customizable,
event-based neural processing solution is ideal for advanced
intelligent sensing, medical monitoring and prediction, high-end
video-object detection and more. Along with its extreme efficiency,
accuracy and performance, Akida also has a unique ability to
securely learn on-device without the need for cloud retraining.
“This is a significant step in BrainChip’s vision to bring
unprecedented AI processing power to Edge devices, untethered from
the cloud,” said Sean Hehir, CEO, BrainChip. “With Akida’s 2nd
generation in advanced engagements with target customers, and
MetaTF enabling early evaluation for a broader market, we are
excited to accelerate the market towards the promise of Edge
AI.”
BrainChip partners looking to leverage the latest capabilities
of Akida IP into their Edge products to maximize efficiency, reduce
latency and conserve energy should contact sales@brainchip.com for
additional opportunities.
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/20231003623539/en/
Media Contact: Mark Smith JPR Communications
818-398-1424
Investor Contact: Tony Dawe Director, Global Investor
Relations BrainChip tdawe@brainchip.com
Barnwell Industries (AMEX:BRN)
Historical Stock Chart
Von Apr 2024 bis Mai 2024
Barnwell Industries (AMEX:BRN)
Historical Stock Chart
Von Mai 2023 bis Mai 2024