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Brainchip Holdings (ASX:BRN) signs evaluation agreement for automotive AI

Technology
ASX:BRN      MCAP $454.7M
25 May 2020 11:00 (AEST)

AI tech company Brainchip Holdings (BRN) has partnered with a major tier-one automaker to test its Akida neural network in smart vehicles.

Akida

Akida is an ultra-low-power, high-performance System-on-Chip (SoC), which can be used in a wide array of AI applications due to its ability to learn incrementally in rea- time.

Brainchip has entered an agreement with a Detroit-based manufacturer to test Akida in Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle (AV) applications.

Both these applications require high-end computational and learning capabilities to operate safely and reliably, and to personalise the driving experience for each individual user.

Brainchip CEO Louis DiNardo says Akida is perfect for applications in automotive AI.

“Automotive applications have size and power consumption constraints that require a high degree of integration in integrated circuit and sensor solutions,” Louis said.

“Our neural network technology enables ultra-low power AI technology to be implemented effectively in a wide range of edge applications such as ADAS and AV,” he added.

“We are excited to work with our partner who has world class engineering and is an innovation leader in the automotive field, where our joint efforts can yield some exciting applications, use-cases and potentially game-changing experience for drivers.”

CEO, Louis DiNardo

Driving the future

The Akida system is inspired by the event-based nature of the human brain, meaning it can incrementally learn to better respond to both external situations and the behaviour of the driver.

In forging the new partnership, Brainchip hopes to refine and perfect its advanced SoC tech, while also finding a commercial partner to monetise the system.

If all goes according to plan, Brainchip’s Akida system could be driving the future of ADAS and AV tech.

Brainchip Holdings is up 17.2 per cent to 6.8 cents per share as at 11:30 am AEST.

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