BrainChip Chief Development Officer Presents at the Edge AI and Vision Alliance Spotlight Webinar
December 09 2020 - 04:50PM
Business Wire
Leveraging Power-Efficient Edge AI Applications
through Neuromorphic Processing
BrainChip Holdings Ltd. (ASX: BRN), a leading provider of
ultra-low power, high-performance AI technology, announced that the
company’s Chief Development Officer Anil Mankar will present about
using neuromorphic processing to take AI to the Edge in a free
30-minute webinar organized by the Edge AI and Vision Alliance
December 17 at 9 a.m. PST.
Mankar has spent 30 years developing products in the
semiconductor industry, including in management leadership
positions at Western Digital, Conexant Systems and Mindspeed
Technologies. His presentation, “Power-efficient Edge AI
Applications through Neuromorphic Processing,” will describe the
advantages of processing information in the event-domain including
an update on the AKD1000, BrainChip’s first Neural network SoC
(NSoC).
“I look forward to presenting how the AKD1000 is bringing
artificial intelligence to the edge in a way that existing
technologies are not capable,” said Mankar. “Many Edge-AI
processors take advantage of the spatial sparsity in neural network
models to eliminate computations and save power. Neuromorphic
processors achieve further savings by performing event-based
computation, which exploits the temporal sparsity inherent in data
generated by audio, vision, olfactory, lidar and other edge
sensors.”
The Akida Neural Processor technology, which is implemented in
the Neuromorphic System-on-Chip (NSoC), is a revolutionary advanced
neural networking processor that brings artificial intelligence to
the edge in a way that existing technologies are not capable. The
solution is high-performance, small, ultra-low power and enables a
wide array of edge capabilities. The Akida NSoC represents a
revolutionary new breed of Neural Processing computing devices for
Edge AI devices and systems. Comparisons to leading DNN accelerator
devices show significantly better images/second/watt running
industry standard benchmarks with MobileNet, MobileNet-SSD and Key
Word Spotting, while maintaining excellent accuracy.
The Akida NSoC is designed for use as a stand-alone embedded
accelerator or as a co-processor. It includes interfaces for ADAS
sensors, audio sensors, and other IoT sensors. It also has
high-speed data interfaces such as PCI-Express, USB, 12S and 13C.
An on-chip MPU is used to control the configuration of the Akida
Neuron Fabric as well as off-chip communication of metadata. The
Akida NSoC represents a scalable solution utilizing a built-in
serial chip to chip connectivity to allow up to 64 devices to be
arrayed for a single solution.
Interested parties can visit the event page to register for this
free webinar. Additional information is available by emailing
webinars@edge-ai-vision.com.
About Brainchip Holdings Ltd (ASX: BRN)
BrainChip is a global technology company that is producing a
groundbreaking neuromorphic processor that brings artificial
intelligence to the edge in a way that is beyond the capabilities
of other products. The chip is high performance, small, ultra-low
power and enables a wide array of edge capabilities that include
on-chip training, learning and inference. The event-based neural
network processor is inspired by the spiking nature of the human
brain and is implemented in an industry standard digital process.
By mimicking brain processing BrainChip has pioneered a processing
architecture, called Akida™, which is both scalable and flexible to
address the requirements in edge devices. At the edge, sensor
inputs are analyzed at the point of acquisition rather than through
transmission via the cloud to a data center. Akida is designed to
provide a complete ultra-low power and fast AI Edge Network for
vision, audio, olfactory and smart transducer applications. The
reduction in system latency provides faster response and a more
power efficient system that can reduce the large carbon footprint
of data centers.
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Additional information is available at
https://www.brainchipinc.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/20201209006008/en/
JPR Communications Mark Smith, marks@jprcom.com
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