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BrainChip Named Among EE Times’ Silicon 100

August 26, 2021 07:30 PM Eastern Daylight Time

ALISO VIEJO, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology, was recognized as one of the “Startups Worth Watching in 2021” in EE Times’ annual Silicon 100 list of global semiconductor technologies.

BrainChip recognized as one of the “Startups Worth Watching in 2021” in EE Times’ annual Silicon 100 list of global semiconductor technologies. https://www.eetimes.com/product/silicon-100-startups-worth-watching-in-2021/

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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 analyze 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 recognized 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 honored 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 cybersecurity.

Those interested in reading the full version of EE Times’ “Silicon 100: Startups Worth Watching in 2021” can purchase a digital edition from the publication’s website at https://www.eetimes.com/product/silicon-100-startups-worth-watching-in-2021/

About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF)

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