SUNNYVALE, Calif., Dec. 5, 2018 /PRNewswire/ -- QuickLogic
Corporation (NASDAQ: QUIK), a developer of ultra-low power
multi-core voice-enabled SoCs, embedded FPGA IP, display bridge,
programmable logic and Endpoint AI solutions, announced today that
mtes Neural Networks (mtesNN) of Japan has selected its QuickAI™ Platform for a
new generation of AI-enabled endpoint devices. With the complete
end-to-end QuickAI Platform solution, mtesNN is accelerating new
product designs that leverage the benefits of local decision making
based on real-time sensor data. This significantly lowers decision
latency, improves reliability and eliminates the cost and high
power consumption of a full-time broadband connection to
cloud-based AI processing.
mtesNN was founded in 2015 and has developed expertise in
structural health and surveillance monitoring with sensor modules
and cognitive cameras that leverage the benefits of AI. Sensor
modules will be deployed around cities to analyze the impact of
earthquake tremors on railways, bridges and tall buildings so that
preventive maintenance can be deployed. Cognitive camera systems
will be deployed for surveillance and actionable event detection
along streets and in large venues to improve safety and provide
real-time information for emergency responders.
The challenge mtesNN faced was that cloud-based AI processing is
simply not suitable for its endpoint applications. Cloud-based AI
systems require broadband connections to send large amounts of raw
sensor data and images to the cloud for processing and decision
making. This requirement increases system costs, operating costs,
latency, power consumption and the risk of downtime.
With the QuickAI Platform, the inferencing (decision making) is
done locally with substantially reduced latency and power
consumption. This is particularly important for mtesNN, which
depends on solar power with battery back-up in some applications.
The QuickAI Platform also allows mtesNN to lower system and
operating costs and improve reliability by eliminating the need for
continuous high-bandwidth connectivity. Because the QuickAI
hardware and software Platform enables AI endpoint solutions to be
developed easily and quickly with minimal data science and firmware
engineering resources, mtesNN is also benefitting from lower
product development costs while gaining valuable time-to-market
advantages.
"We evaluated numerous design approaches before selecting
QuickLogic's QuickAI Platform to develop new AI-enabled endpoint
devices that leverage the many benefits of local AI processing,"
said Takaro Harada, CEO of mtes Neural Networks. "With QuickAI's
end-to-end hardware and software, we are able to extend battery
life while accelerating our new product development cycles. We are
excited to use the QuickAI Platform for this and future generations
of AI-enabled endpoint devices."
"We are very happy that mtes Neural Networks chose our QuickAI
Platform to enable endpoint artificial intelligence in their next
generation of AI-enabled endpoint devices," said Brian Faith, CEO of QuickLogic. "The unique
heterogeneous multi-core architecture and end-to-end hardware
/software solution provided by QuickAI Platform simplifies and
accelerates the implementation of AI by providing standard
interfaces to sensors and traditional digital computing resources
while leveraging leading edge Neural Processing (NPU) technology.
We look forward to continuing our work with mtes Neural Networks as
it develops new AI-enabled endpoint devices."
Availability
The QuickAI Platform and its associated
Data Analytics Toolkit is available now. For more information,
please visit
www.quicklogic.com/platforms/sensor-processing/quickai. The mtes
Neural Networks Sensor Module and Cognitive Camera will be
available during Q1, 2019.
About QuickLogic
QuickLogic Corporation (NASDAQ: QUIK)
enables OEMs to maximize battery life for highly differentiated,
immersive user experiences with Smartphone, Wearable, Hearable and
IoT devices. QuickLogic delivers these benefits through industry
leading ultra-low power customer programmable SoC semiconductor
solutions, embedded software, and algorithm solutions for always-on
voice and sensor processing. The company's embedded FPGA initiative
also enables SoC designers to easily implement post production
changes, and increase revenue by providing hardware programmability
to their end customers. For more information about QuickLogic,
please visit www.quicklogic.com and
http://blog.quicklogic.com.
QuickLogic and logo are registered trademarks and QuickAI is
a trademark of QuickLogic. All other trademarks are the property of
their respective holders and should be treated as such.
Code: QUIK-G
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SOURCE QuickLogic Corporation