Laguna Hills, California. – November, 1st2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s leading commercial producer of ultra-low-power neuromorphic AI intellectual property, announces the appointment of Duy-Loan Le to its Board of Directors as non-executive director.
Ms. Le has a distinguished professional history, both in technology and in executive management, having retired from Texas Instruments as a Senior Fellow after 35 years. At TI, she led TI’s multi-billion dollar memory and DSP product lines with joint venture partners in five countries and three continents. She currently serves on the boards of Wolfspeed, National Instruments, Ballard Power Systems and Atomera. Ms. Le is also recognized for her philanthropic contributions around the world and has received special recognition from Congress.
“Duy-Loan’s phenomenal depth as a semiconductor industry technologist, executive and board member are assets that we will leverage with her as an active board member of BrainChip,” said BrainChip Chairman of the Board, Antonio J. Viana. “His technical acumen, savvy financial guidance and strategic influence on the ecosystem will support and catalyze our business growth.”
“We are at a point of transition in the semiconductor industry as advanced computing has pushed for new techniques and more efficient hardware,” Duy-Loan Le said. “BrainChip offers a differentiated and commercially viable IP product that can transform edge computing as a whole. I am excited about and committed to my role as a Board member. »
BrainChip’s first neuromorphic IP processor, Akida, mimics the human brain to analyze only critical sensor inputs at the point of acquisition, processing data with unparalleled efficiency, accuracy, and power savings. Keeping AI/ML local on-chip, independent of the cloud, also dramatically reduces latency and improves system performance.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the global leader in advanced AI on-chip processing and learning. The company’s first neuromorphic processor, AkidaMT, mimics the human brain to analyze only critical sensor inputs at the point of acquisition, processing data with unparalleled efficiency, accuracy, and power savings. Keeping machine learning local on-chip, independent of the cloud, also dramatically reduces latency while improving data privacy and security. By enabling efficient edge computing to be universally deployable in real-world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip proves that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Discover the benefits of Essential AI on www.brainchip.com.