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09/09/2021

Brainchip named as "one to watch" in Silicon 100 listing

Aliso Viejo, Ca

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Brainchip Holdings Ltd, a leading provider of ultra-low power high performance artificial intelligence technology, has been recognised as one of the “Startups Worth Watching in 2021” in the EE Times’ annual Silicon 100 list of global semiconductor technologies.

The EE Times’ 21st revision of the Silicon 100 tracks the pulse of the industry to identify emerging technology trends and developments that hold promise for the future. This year, the publication chose to analyse the Silicon 100 in more detail with 22 categories that run from materials and packaging at a fundamental extreme to quantum computing and security at the highest level of abstraction. Brainchip was recognised in the “Specialist (GPU-Through-AI) Processor, Accelerators” category.

Selection of companies to the Silicon 100 is based on criteria including technology, intended market, financial position and investment profile, maturity and executive leadership. Brainchip’s inclusion was based on its Akida 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 that include continuous learning and inference.

“We are pleased to once again be included among the prestigious list of companies that are honoured as being among the startups in the industry that ‘hold promise for the future,’ as the article says,” said Rob Telson, Brainchip vice president of sales and marketing. “Industry recognition, like the EE Times’ Silicon 100, provides third-party validation that Akida is well-positioned to deliver on its promise of solving the inherent problems of today’s technology in addressing edge AI.”

Brainchip’s Akida neural processor unit brings intelligent AI to the Edge everywhere, leveraging advanced neuromorphic computing as the engine to solve critical problems of privacy, security, latency and low power requirements with key features, such as one-shot learning and computing on the device with no dependency on the cloud.

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 cyber security.


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