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Tiny Machine Learning Happens in Analog

The tinyML movement has inspired a global ecosystem of companies developing—and using—tiny machine learning (tinyML) technologies to increase intelligence in resource- and power-constrained edge devices. Presenters from major commercial players such as Google, IBM, Microsoft, Meta (Facebook), Nvidia and ST will join leading academic researchers from ASU, UC Berkeley, Harvard, MIT and the University of Milano to explore the most significant advancements in tinyML platforms at the upcoming tinyML Summit 2022 (March 28-29, 2022 in Burlingame, Calif.).
Aspinity Chief Science Officer and Co-founder David Graham, Ph.D.—whose passion for bio-inspired systems and neuromorphic analog computing led to his co-creation of Aspinity’s technology—will join these speakers on March 29 when he presents, AnalogML: Analog Inferencing for System-Level Power Efficiency.

David will explain Aspinity’s unique approach to realizing tinyML in always-listening edge applications: Perform inferencing in the analog domain to minimize always-on current consumption and increase battery life. This approach allocates the system’s computing resources more efficiently by using near-zero power at the microphone to detect specific acoustic events and wake up the downstream digital system only when an event is actually detected (glass break, voice, etc).

During his talk, David will take a deep dive into the inner workings of Aspinity’s new AML100 processor, the first chip based on the company’s analogML core. Immerse yourself in the exciting, evolving world of tinyML by attending tinyML Summit 2022. Register today.

Want to get up close to Aspinity’s analogML tech? Meet with David and other members of the Aspinity team during the exhibition hours (9:00 a.m.-4:50 p.m. daily, March 28 and 29). tinyML Summit takes place at the Hyatt Regency San Francisco Airport. Contact us to arrange a meeting.