Artificial Intelligence (AI) unleashes a new wave of innovation, powering new applications and business models in multiple markets. The Arm hardware and software technologies ecosystem enables the development of intelligent, distributed, heterogeneous, and secure solutions.

Arm AI Platform

The Arm AI Platform (formerly Project Trillium) is the only complete, heterogenous compute platform designed for machine learning and neural network capabilities. It includes the well-established Arm Cortex CPUs and Mali GPUs as well as a new line of highly scalable processors that make the platform versatile enough to scale to any device, from IoT to connected cars and servers.

Explore technical resources about AIoT on Arm

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Arm Cortex-A Series

The Arm Cortex-A series of applications processors provide a range of solutions for devices undertaking complex compute tasks.
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Arm Cortex-R Series

The Arm Cortex-R series provides a range of processors optimized for high performance, hard real-time applications.
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Arm Cortex-M Series

The Arm Cortex-M series contains the smallest/lowest power processors build by Arm, optimized for discrete processing and microcontrollers.
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Arm Ethos-N processors

The Arm Ethos-N processor series delivers the highest throughput and efficiency in the lowest area for ML inference from cloud to edge to endpoint.
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Arm NN

Arm NN translates existing neural network frameworks, allowing them to run efficiently across Arm Cortex CPUs, Arm Mali GPUs, and Arm Ethos NPUs.
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Arm Compute Library

The Arm Compute Library is a collection of low-level functions optimized for Arm Cortex-A CPUs and Arm Mali GPUs, targeting computer vision and ML.
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Be part of our ecosystem

We are growing our partnerships for machine learning solutions and would love for you to be a part of it. Get in touch with us to learn more and start promoting your solutions here.

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Life-changing asthma care

One in 12 people suffer from asthma. The Arm-powered Amiko Respiro uses machine learning to make treating and living with the condition easier.


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A cure for loneliness

Half of all elderly adults living alone report suffering from loneliness. Intuition Robotics’ social robot, ElliQ, uses machine learning and cloud robotics to encourage an active and engaged lifestyle.


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Cough monitor

Hundreds of millions of people worldwide live with chronic respiratory disorders. The Quvium Sonasure cough monitor uses machine learning to track early symptoms, inform treatment plans, and send alerts if emergency action is needed.

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Developer material

Arm is creating the tools you need to bring your best solutions to market. Find out more below.

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How-to guides

Learn to develop machine learning applications using Arm-based products and tools with our how-to guides.

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Webinars

Discover tips and techniques for your Arm-based machine learning projects with our growing bank of webinars.

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White papers

To learn more about machine learning on Arm, see our range of available white papers and research papers.

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Get Support

Community Blogs

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Raspberry Pi for Computer Vision Review: CV for the Masses

Read a review of Raspberry Pi for Computer Vision.

11 days ago by Karl Fezer
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TinyML Review: The Next Big Thing

I am reviewing a book on ML every month, starting with TinyML.

26 days ago by Karl Fezer
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TinyML Applications Require New Network Architectures

Researchers have studied neural network compression for quite some time. However, the need for always on compute has led to a recent trend towards executing these applications on even smaller IoT devices. The neural networks that are traditionally…

1 months ago by Urmish Thakker
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Arm Cortex-M55 and Ethos-U55 Processors: Extending the Performance of Arm’s…

The new Arm Cortex-M55 and Ethos-U55 processors significantly increase machine learning and signal processing performance efficiently for the next generation of AI-capable IoT devices. Read this blog to learn about the features of this new technology

1 months ago by Thomas Lorenser
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A Year of Discovery: Arm Research 2019

2019 was yet another year of incredible technology discovery for Arm Research. Inspiring advancements have been made across the research community, and Arm Research has contributed to this. Our teams have shared their research, writing a multitude of…

2 months ago by Rhiannon Burleigh
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An Introduction to Machine Learning on Mobile

A blog about machine Learning that discuss some ideas and experiences that might get you interested in creating your own ML app.

3 months ago by Pablo Hernandez Almudi

Community Forums

Answered [ARM NN on Raspberry PI] libarmnn.so: undefined reference to `powf@GLIBC_2.27'
  • Raspberry Pi
  • Neural Network
  • TensorFlow
 0 votes 5554 views 7 replies Latest 6 months ago by aggado7 Answer this
Answered how to add api to arm
  • api
 0 votes 2718 views 3 replies Latest 8 months ago by Evano Answer this
Answered Save tensorflow model for ArmNN
  • Machine Learning (ML)
  • TensorFlow
  • Arm NN
 0 votes 2781 views 3 replies Latest 9 months ago by GeraldK Answer this
Answered ARM NN with ONNX Parser
  • Neural Network
  • Compilers
 0 votes 2571 views 2 replies Latest 11 months ago by Anto85 Answer this
Answered ARM NN build failed when linking libarm_compute_core-static.a
  • Cortex-A53
  • Arm NN
  • Arm Compute Library (ACL)
  • SIMD and Vector Execution
 0 votes 3422 views 3 replies Latest 1 years ago by Jason Andrews Answer this
Answered Matrix Multiplication Example in Arm Compute Library
  • Arm Compute Library (ACL)
 0 votes 6394 views 3 replies Latest 2 years ago by cdicker Answer this
Answered [ARM NN on Raspberry PI] libarmnn.so: undefined reference to `powf@GLIBC_2.27' Latest 6 months ago by aggado7 7 replies 5554 views
Answered how to add api to arm Latest 8 months ago by Evano 3 replies 2718 views
Answered Save tensorflow model for ArmNN Latest 9 months ago by GeraldK 3 replies 2781 views
Answered ARM NN with ONNX Parser Latest 11 months ago by Anto85 2 replies 2571 views
Answered ARM NN build failed when linking libarm_compute_core-static.a Latest 1 years ago by Jason Andrews 3 replies 3422 views
Answered Matrix Multiplication Example in Arm Compute Library Latest 2 years ago by cdicker 3 replies 6394 views