Podcast EP235: Tinier than TinyML: pushing the flexible boundaries of AI – Pragmatic Semiconductor
Dan is joined by Dr. Richard Price, CTO and Dr. Konstantinos Iordanou, a senior ASIC designer at Pragmatic Semiconductor.
Richard has over 25 years’ experience in the development and commercialisation of a wide range of new technologies based on novel processes, materials and flexible electronics. Richard is also a non-executive director at the Henry Royce Institute – the UK’s National Institute for advanced materials research. Konstantinos Iordanou is working on pioneering projects that push the limits of flexible IC technology. He holds a Ph.D. in Computer Science from The University of Manchester and specialises in computer microarchitecture, digital design, hardware accelerators and heterogeneous systems.
Dan explores the unique and disruptive technology of Pragmatic Semiconductor, a UK-based leader in flexible integrated circuit technology and semiconductor manufacturing. The company uses thin-film semiconductors to create ultra-thin, flexible integrated circuits, known as FlexICs, that are significantly lower cost and faster to produce than silicon chips – talking days, rather than months to produce.
Richard and Konstantinos discuss their groundbreaking work on tiny classifiers, in which they created world’s tiniest ML inference hardware on a flexible substrate. Uniquely, an evolutionary algorithm is used to automatically generate classification hardware. The resulting chip is extremely small in area – fewer than 300 logic gates.
When implemented on a flexible substrate, such as a FlexIC, this classifier occupies up to 75 times less area, consumes up to 75 times less power and has six times better yield than the most hardware-efficient ML baseline.
The views, thoughts, and opinions expressed in these podcasts belong solely to the speaker, and not to the speaker’s employer, organization, committee or any other group or individual.
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