BrainChip Presents on AI in Edge Devices at Linley Fall Processor Conference 2020
02 October 2020 - 3:07AM
Business Wire
BrainChip Holdings Ltd. (ASX: BRN), a leading provider of
ultra-low power high performance AI technology, today announced
that Chief Development Officer Anil Mankar will present “A
Neuromorphic Processor for Power Efficient Edge AI Applications” at
the Linley Fall Processor Conference 2020 October 20 at 9:30 a.m.
PDT.
BrainChip’s presentation is part of the conference’s first-day
session “AI in Edge Devices.” As part of the presentation, Mankar
will provide an update on the AKD1000, BrainChip’s first Neural
network SoC (NSoC), and describe the advantages of processing
information in the event-domain. A 10-minute Q&A session will
immediately follow the conclusion of his speech.
“Many edge-AI processors take advantage of the spatial sparsity
in neural network models to eliminate unnecessary computations and
save power,” said Mankar. “But 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. I look forward to
sharing with attendees of the Linley Conference how this unique
approach is revolutionizing artificial intelligence at the
edge.”
The company’s 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.
"Industry demand for AI performance has skyrocketed over the
last few years, driven by rapid adoption from the data center to
the edge,” said Linley Gwennap, principal analyst at the Linley
Group and Linley Fall Processor Conference chairperson. “This
year's Linley Fall Processor Conference will feature our biggest
program yet and will introduce a host of new technology disclosures
and product announcements of innovative processor architectures and
IP technologies. In spite of the challenges posed by the pandemic,
development of these technologies continues to accelerate and we're
excited to be sharing these presentations with a global audience
via our live-streamed format."
For more than a decade, The Linley Group has delivered the
industry’s premier processor conference. This year, the Linley Fall
Processor Conference will feature virtual presentations that run
half days on October 20-22 and 27-29, 2020. Presentations will
address processors and IP cores for AI applications, embedded, data
center, automotive, and communications. Attendees will be able to
view live-streamed presentations and interact with the speakers
during Q&A, breakout sessions, or scheduled one-on-one
meetings. Additional information about the event is available at
https://www.linleygroup.com/events/event.php?num=49
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.
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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JPR Communications Mark Smith, marks@jprcom.com
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