BrainChip Appoints Former ARM Executive Antonio J. Viana as Non-Executive Director

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ALISO VIEJO, Calif .– (COMMERCIAL THREAD) –BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low-power, high-performance artificial intelligence technologies, today announced the appointment of Antonio J. Viana as a non-executive director executive. He joins company founder and CEO Peter van der Made and his fellow non-executive directors Emmanuel T. Hernandez and Geoffry Carrick on the board of directors of BrainChip.

“Antonio is a much appreciated addition to our Board of Directors and brings with him exceptional knowledge, contacts and experience of the industry,” said CEO Peter van der Made. “He will play an important and influential role on our board of directors as BrainChip moves from an R&D focus to the sale and production of our Akida ™ neuromorphic artificial intelligence technology. ”

Mr. Viana is currently Executive Chairman of QuantalRF AG, an emerging, next-generation front-end RF company that develops transformative wireless communications solutions. He is also a non-executive and independent director of Arteris Inc, a leading provider of network-on-chip (NoC) semiconductor IP interconnects. In 1999, Mr. Viana joined ARM Holdings, the global leader in processor intellectual property, holding a number of leadership roles including President and Executive Vice President of Business and Global Development and Global Director of the ARM Foundry Program. . He was appointed to the ARM leadership team as Executive Vice President of Global Sales in 2008. In early 2013, his leadership role was broadened to include business and global development. Mr. Viana has also worked with Hughes Aircraft, Silicon Graphics, Encore Industries and was Senior Vice President of Global Sales at Tensilica Inc.

“BrainChip is now the world’s leading producer of neuromorphic artificial intelligence chips. We are at a time of transformation in our history as we seek to bring our revolutionary solutions to the industry. BrainChip is poised to take the AI ​​industry to a new level of growth, ”said Mr. Viana. “I am very happy to be a member of the Board of Directors and look forward to helping BrainChip realize its enormous business potential.”

BrainChip’s Akida ™ is bringing artificial intelligence to the forefront in a way that existing technologies cannot. The solution is high performance, small, ultra-low power, and enables a wide range of edge capabilities. Akida (NSoC) and intellectual property can be used in applications such as 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, smell and taste detection, gesture control and cybersecurity. Akida brings AI processing capability to cutting-edge devices for learning, enabling product customization without the need for retraining.

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

BrainChip is a global technology company that produces a revolutionary neuromorphic processor that brings artificial intelligence to the forefront in a way that exceeds the capabilities of other products. The chip is high performance, small, ultra-low power, and enables a wide range of advanced capabilities that include on-chip training, learning, and inference. The Event-Based Neural Network Processor takes its inspiration from the cutting edge nature of the human brain and is implemented in an industry standard digital process. By mimicking brain processing, BrainChip pioneered a processing architecture, called Akida ™, which is both scalable and flexible to meet the demands of edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmitting through 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 intelligent transducer applications. Reducing system latency provides faster response and a more energy efficient system that can reduce the large carbon footprint of data centers.

Further information is available at https://www.brainchipinc.com

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