• Home >
  • Back Issues >
  • TechXchange >
  • TinyML: Machine Learning for Small Platforms

    • TinyML: Machine Learning for Small Platforms

    Machine learning does not have to run on big servers in the cloud. Tiny solutions are available and quite useful.
    Arm
    May 31, 2024
    The combination of X925, A725, and A520 cores, Arm’s most powerful mobile CPU cluster for AI to date, brings 46% better performance than CPU clusters based on the Cortex-X4 released...
    Dreamstime_eugenesergeev_105381073
    dreamstime_eugenesergeev_105381073
    Dec. 26, 2023
    Delivering smarter smarts to edge and free-standing devices, tinyML can be part of a broader AI/ML deployment.
    Arm
    Nov. 22, 2023
    The Cortex-M52 forms a family with the M85 and M55, all of which are based on Arm’s Helium technology.
    tinyML
    Tiny Ml Promo
    May 1, 2023
    Check out the sessions from this year's tinyML Summit.
    130185401 © Ekkasit919 | Dreamstime.com
    Ml Dreamstime L 130185401
    April 10, 2023
    Machine learning, or ML, gave us TinyML. What are the differences between the two, and what makes them unique?

    More content from TinyML: Machine Learning for Small Platforms

    Dreamstime_Daniil-Peshkov_229665158
    Artificial Intelligence Dreamstime Daniil Peshkov 229665158
    Nov. 30, 2022
    The current generation of neural networks doesn’t analogously reflect the actual operation of the brain, which has led neuroscientists to research networks that more closely resembled...
    William Wong | Electronic Design
    Promo
    Oct. 11, 2022
    Maxim's AI Cube packs in dual MAX78000 AI accelerators into this miniature reference design kit.
    Thinkstock
    Ai Hand Emerging Thinkstock Photos 641382150
    Sept. 2, 2020
    Bringing AI to embedded devices at the edge hasn’t been for the faint-hearted. However, that’s about to change.