From TIME. © 2025 TIME USA LLC. All rights reserved. Used under license. AUSTIN, Texas, Oct. 09, 2025 (GLOBE NEWSWIRE) -- Ambiq Micro, Inc. (NYSE: AMBQ), a technology leader in ultra-low-power semiconductor solutions for edge AI, today announced that TIME has listed Ambiq’s Subthreshold Power Optimized Technology (SPOT®) platform as one of its Best Inventions of 2025 in the Artificial Intelligence category. The award recognizes SPOT as a technology breakthrough that enables devices to run AI workloads loca ...

Core Insights - Ambiq Micro, Inc. has been recognized by TIME as one of the Best Inventions of 2025 in the Artificial Intelligence category for its Subthreshold Power Optimized Technology (SPOT®) platform, which enhances energy efficiency for AI workloads on battery-powered devices [1][2] Company Overview - Ambiq Micro, headquartered in Austin, Texas, focuses on ultra-low-power semiconductor solutions aimed at enabling artificial intelligence at the edge [9] - The company has shipped over 280 million SPOT-powered chips globally, which are utilized in various popular devices including wearables and healthcare monitors [5][9] Technology and Innovation - SPOT technology allows devices to operate with two to five times greater efficiency, significantly extending battery life and enhancing capabilities within the Internet of Things (IoT) ecosystem [3][5] - The platform has overcome historical challenges in subthreshold circuit design, making it commercially viable for the first time [4] Market Impact - SPOT technology has been adopted by eight of the world's top ten smartwatch manufacturers and is expanding into applications such as ECG monitors, smart glasses, and industrial sensors [7] - The Apollo System-on-Chip (SoC) family, now in its fifth generation, continues to set new standards for power-efficient performance, enabling advanced AI applications in power-constrained environments [5][6] Future Outlook - Following a successful IPO on the New York Stock Exchange in July 2025, Ambiq aims to further its vision of seamless, efficient, and connected intelligent devices operating at the edge [8]