BrainChip Execs Talk Advantages of Putting AI on Sensors at the Edge as Part of Embedded Vision Summit
20 Maggio 2021 - 08:58PM
Business Wire
BrainChip Holdings Ltd. (ASX: BRN), (OTCQX: BRCHF), a leading
provider of ultra-low power, high-performance AI technology, will
present the Expert Bar session “Can You Put AI at the Sensor? (Not
the Edge of the Cloud!)” at the Embedded Vision Summit May 27 at
11:30 a.m. PDT. The virtual presentation will be broadcast live as
well as be available on-demand for attendees of the event.
The BrainChip team will help viewers better understand the
requirements of sensors at the edge and how challenges associated
with traditional machine learning make it difficult to properly
enable these devices. Deploying a solution that leverages advanced
neuromorphic computing as the engine for intelligent AI at the edge
can be better used to solve critical problems such as privacy,
security, latency, and low power requirements, while providing key
features, such as one-shot learning and computing on the device
itself, without dependency on the cloud.
“Cloud use for AI might be effective in a data center setting
but relying on it for the millions of edge sensors being deployed
in emerging ‘smart’ markets is a recipe for disaster,” said Anil
Mankar, Chief Development Officer at BrainChip. “How do those
devices overcome latency in communicating with the cloud?
Next-generation AI needs a solution that will provide resources to
edge devices. We look forward to sharing with attendees of the
Embedded Vision Summit how our Akida Neural Processing Unit has
been developed to address these concerns and provide true device
intelligence without the need for the cloud.”
BrainChip is delivering on next-generation demands by achieving
efficient, effective AI functionality. The company’s Akida
neuromorphic processors are revolutionary advanced neural
networking processors that bring 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) and intellectual
property, can be used in applications including Smart Home, Smart
Health, Smart City and Smart Transportation. These applications
include, but are not limited to, home automation and remote
controls, industrial IoT, robotics, security cameras, sensors,
unmanned aircraft, autonomous vehicles, medical instruments, object
detection, sound detection, odor and taste detection, gesture
control and cybersecurity. The Akida NSoC is designed for use as a
stand-alone embedded accelerator or as a co-processor, and includes
interfaces for ADAS sensors, audio sensors, and other IoT sensors.
Akida brings AI processing capability to edge devices for learning,
enabling personalization of products without the need for
retraining.
Since 2012, the Embedded Vision Summit has been the premier
conference and expo devoted to practical, deployable computer
vision and visual AI. The Summit is organized by the Edge AI and
Vision Alliance, an industry partnership operated by BDTI.
Additional information about the event is available at
https://embeddedvisionsummit.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.
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, 818-398-1424 marks@jprcom.com
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