Driving Innovation in AI

Every day, organizations across diverse industries leverage Arm AI technologies and its ecosystem to deliver cutting-edge solutions. Arm's power efficiency, mature software support for advanced machine learning, and low-cost, high-performance edge computing capabilities make it a popular choice.

Explore the case studies below to see how Arm technologies already touch 70% of the world's population.

Plumerai: People Detection on Embedded Devices with Arm Helium Technology

Plumerai showcases computer vision solutions on small, embedded devices to address use cases that include people detection and face identification. The platform is built on the high-performance Renesas RA8x1 MCU with Arm Cortex-M85 and Arm Helium vector extensions to accelerate people-detection neural networks using just 300 KB RAM.

Himax: Enabling AI Inferencing on Resources-Constrained Edge Devices

Himax WiseEye 2 runs vision-based AI edge models, including face detection, human pose estimation, and object detection. Its heterogeneous solution combines Arm Cortex-M55 with Arm Helium technology, Arm Ethos-U55 NPU, and support for TensorFlow Lite Micro and TVM to enable high-speed vision processing.

Grovety: Object Detection - Saving Wildlife with AI-powered Cameras

Grovety reveals how it solved real-life object detection challenges, including battery and power constraints, false positives, and limited data availability. By combining Arm Cortex-A32, Arm Cortex-M55, and Arm Ethos-U55 NPU, while leveraging the TVM and Vela compilers, it created an autonomous AI-powered device for object detection and classification, adaptable to wildlife objects.

Sensory: Natural Language Processing on Low-Power Microcontrollers

Sensory showcases its speech recognition and natural language understanding platform, built on Arm Cortex-M55 and the Arm Ethos-U55 NPU. Partitioning workloads across the Cortex-M and Ethos-U processors, Sensory enabled advanced wake words, voice control, and NLU capabilities, while meeting the tight memory and power limits of consumer devices.

SoundPlus’s Earphone AI Solution

There are many challenges involved in deploying AI speech recognition. Beijing-based SoundPlus Technologies worked with Arm to optimize a speech enhancement algorithm to run on Arm’s Cortex-M4F and Cortex-M33 MCU, achieving a balance between power consumption and performance.

Nota’s Automatic AI Model Compression Platform

Nota’s Automatic AI Model Compression Platform, NetsPresso, powered by Arm is bringing AI to the smallest of devices. This video features two incredible case studies on facial recognition and intelligent traffic monitoring created using Nota’s solution.

To learn more, contact Nota in our Arm AI Ecosystem Catalog.

Ignitarium Delivers Real-time Noise Suppression

Ignitarium’s real-time noise suppression software uses machine learning to suppress background noise. This exciting step in the innovation of audio and video segments designed for low-cost edge devices is enabled by the power efficiency and mature software support for machine learning functions found in Arm processors.

Rainforest Connection Protects Earth’s Ecosystem

Rainforest Connection uses Arm-powered CPUs and machine learning technologies to create acoustic monitoring systems called Guardians that help protect fragile rainforest ecosystems. Since the data they collect can be processed in both the cloud and on the endpoint, Guardians are energy-efficient, self-contained, and adaptable.

Sunflower Labs Advanced Drone Systems

Sunflower Labs Beehive One home security system uses Arm AI to enable a fully autonomous security drone. Its sensors use machine learning capabilities to differentiate between innocuous objects and activities and potential threats.

Quvium Cough Monitor Improves Respiratory Care

Analysts predict the healthcare-related IoT market will exceed $10 billion by 2024. Arm is enabling this growth with machine learning in low-power devices. Quvium is a medical device company whose Sonasure cough monitor leverages Arm processors’ machine learning capabilities for identification and analysis of patient baselines.

Respiro Transforms The Way We Treat Asthma

Respiro is an inhaler that acts as a powerful tool in the treatment of respiratory conditions. It uses Arm-powered machine learning sensors to track and measure a patient’s breath, capturing personalized data to provide insight on how to better manage the condition. These machine learning algorithms can be applied across many disciplines.

Emotion3D’s In-Cabin Monitoring Software

Emotion3D uses Arm-based CPUs to enable the high-accuracy, high-performance, flexible features necessary to support a range of devices that require real-time analytics. Currently, the company is using Arm processors to create AI-powered software that helps make the driving experience safer.

Arm Tech Talks

This series of talks brings you best practices and the latest trends and technologies from across the Arm ecosystem.
Covering the latest cutting-edge AI research, real-world use cases, code examples, workshops, demos, and more.

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AI-Ready Product Families

Arm’s highly versatile and scalable AI-optimized platform architecture leverages CPUs, GPUs, and NPUs to run machine learning workloads across all devices with the highest performance and greatest efficiency.


Cortex CPUs

Arm CPUs are the leading machine learning processor on the market today, with 85 percent of premium smartphones running ML on the Arm CPU or a CPU/GPU combination. Arm CPUs are best-in-class for energy efficiency, and we're continuously developing new features to stay ahead of power and performance demands.


Ethos NPUs

Arm Ethos NPU processors deliver maximum performance, power and area efficiency for ML inference from cloud to edge to endpoint. Ethos’ optimized design enables new features, enhances user experiences, and delivers innovative applications for market segments including mobile, IoT, embedded, automotive, and infrastructure.


Mali GPUs

For graphics-intense machine learning workloads, Arm GPUs deliver first-rate performance. Mali GPUs with ML extensions and high floating-point throughput provide high performance across a variety of entertainment experiences, including visual enhancements to gaming, images and video, while enabling longer battery life.