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
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.
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.
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.
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.View
Arm is creating the tools you need to bring your best solutions to market. Find out more below.
Learn to develop machine learning applications using Arm-based products and tools with our how-to guides.
Discover tips and techniques for your Arm-based machine learning projects with our growing bank of webinars.
To learn more about machine learning on Arm, see our range of available white papers and research papers.
Arm training courses and on-site system-design advisory services enable licensees to realize maximum system performance with lowest risk and fastest time-to-market.Arm training courses Arm Design Reviews Open a support case
|Answered||[ARM NN on Raspberry PI] libarmnn.so: undefined reference to `powf@GLIBC_2.27'||0 votes||5554 views||7 replies||Latest 6 months ago by aggado7||Answer this|
|Answered||how to add api to arm||0 votes||2718 views||3 replies||Latest 8 months ago by Evano||Answer this|
|Answered||Save tensorflow model for ArmNN||0 votes||2781 views||3 replies||Latest 9 months ago by GeraldK||Answer this|
|Answered||ARM NN with ONNX Parser||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||0 votes||3422 views||3 replies||Latest 1 years ago by Jason Andrews||Answer this|
|Answered||Matrix Multiplication Example in Arm Compute Library||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|