TinyML: Machine Learning for Small Platforms

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Machine learning does not have to run on big servers in the cloud. Tiny solutions are available and quite useful.

TinyML: Machine Learning for Small Platforms

Arm Bets Big on AI with New Mobile CPU Cores

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...

Machine Learning

Can tinyML Bring Machine Learning to the Masses?

Dec. 26, 2023

Delivering smarter smarts to edge and free-standing devices, tinyML can be part of a broader AI/ML deployment.

Embedded

Arm Unveils Its Most Compact AI-Capable Cortex-M CPU

Nov. 22, 2023

The Cortex-M52 forms a family with the M85 and M55, all of which are based on Arm’s Helium technology.

Industrial

tinyML Summit: From Concept to Reality

May 1, 2023

Check out the sessions from this year's tinyML Summit.

Automation

What’s the Difference Between Machine Learning and TinyML?

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

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Automation

Developing Neuromorphic Devices for TinyML

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...

Kit Close-up

Tiny AI Cube Recognizes Audio Commands and Camera Images

Oct. 11, 2022

Maxim's AI Cube packs in dual MAX78000 AI accelerators into this miniature reference design kit.

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IoT

Making Machine-Learning Design Practical for the Edge

Sept. 2, 2020

Bringing AI to embedded devices at the edge hasn’t been for the faint-hearted. However, that’s about to change.