Machine Learning on Arm

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.

Project Trillium

Project Trillium, Arm’s Machine Learning (ML) platform, enables a new era of advanced, ultra-efficient inference at the edge. Specifically designed for ML and neural network (NN) capabilities, the architecture is versatile enough to scale to any device, from IoT to connected cars and servers.

Dev Day 

Learn about some of the key building blocks needed to develop intelligent machines.

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

Community Forums

Answered [ARM NN on Raspberry PI] libarmnn.so: undefined reference to `powf@GLIBC_2.27'
  • Raspberry Pi
  • Neural Network
  • TensorFlow
0 votes 3565 views 7 replies Latest 1 months ago by aggado7 Answer this
Answered how to add api to arm
  • api
0 votes 1843 views 3 replies Latest 3 months ago by Evano Answer this
Answered Save tensorflow model for ArmNN
  • Machine Learning (ML)
  • TensorFlow
  • Arm NN
0 votes 1700 views 3 replies Latest 4 months ago by GeraldK Answer this
Answered ARM NN with ONNX Parser
  • Neural Network
  • Compilers
0 votes 1586 views 2 replies Latest 6 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 2512 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 5095 views 3 replies Latest 1 years ago by cdicker Answer this
Answered [ARM NN on Raspberry PI] libarmnn.so: undefined reference to `powf@GLIBC_2.27' Latest 1 months ago by aggado7 7 replies 3565 views
Answered how to add api to arm Latest 3 months ago by Evano 3 replies 1843 views
Answered Save tensorflow model for ArmNN Latest 4 months ago by GeraldK 3 replies 1700 views
Answered ARM NN with ONNX Parser Latest 6 months ago by Anto85 2 replies 1586 views
Answered ARM NN build failed when linking libarm_compute_core-static.a Latest 1 years ago by Jason Andrews 3 replies 2512 views
Answered Matrix Multiplication Example in Arm Compute Library Latest 1 years ago by cdicker 3 replies 5095 views