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.
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.
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.
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.
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.
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.
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.
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.
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.