Unlock the Benefits of Artificial Intelligence for IoT Devices

The convergence of AI, 5G, and IoT technologies brings a need for real-time information and responses. Network latency, data privacy, and consumer expectations around user experience and environmental impact are driving intelligence at the endpoint. Combining high-performance on-device compute with AI and ML capabilities will unlock new use cases and applications – we call this endpoint AI.

 
Technology Solutions Enabling AI for Endpoints

The Future of ML Shifts to the Edge

In just a few short years, ML technology has become a reality for endpoint devices. Arm, with support from AWS, Raspberry Pi, Arduino, the tinyML Foundation, and Edge Impulse, set out to gauge the current state of tinyML development, what’s worked and what remains a challenge. 

Learn More

The Dawn of Endpoint AI: Bringing Compute Closer to Data

Only 1 percent to 12 percent of company data is actually analyzed, according to a new report by Strategy Analytics. The ability to perform advanced localized processing closer to where data is collected results in faster and more accurate responses, allowing companies to maximize data insights.

 

This new report takes an in-depth look at endpoint AI and the new opportunities it enables, and explores the potential benefits and impacts of implementing endpoint AI across key application areas and use cases.

Download Report

Endpoint AI Applications

As AI mainstream popularity grows, so does the range of applications and opportunities businesses seek to develop, which span the breadth of IoT segments. Endpoint AI use cases align to three distinct areas:

 

Vision, such as object classification; Voice, including keyword detection; and Vibration, for example sensor fusion.

Intelligent Thermal Vision

Conservation challenges in remote areas require an energy-efficient, cost-sensitive solution. Arribada’s vision-based ML technology uses Arm microcontrollers and Mbed OS to identify and monitor wildlife.

Read Case Study

Advanced Voice Control

Sensory’s TrulyHandsfree keyword recognition software works with Cortex-M55 to unlock high-accuracy, low-power, customizable voice control for devices and applications.

Read Case Study

Predictive Maintenance

Cartesiam’s industry-agnostic AI solution enables anomaly detection and signal classification on microcontrollers based on Cortex-M, to monitor vibrations and other signal types and predict system failure.

Read Case Study

Enabling Intelligence on the Smallest Devices

Advances in AI deployments mean that even the smallest, cost-sensitive devices can be made smarter and more capable. Arm IP, software, tools, and our partner ecosystem make development quicker and easier for product manufacturers implementing DSP and ML capabilities on-device.

Download Endpoint AI Guide
CPU and NPU icon

Designing Endpoint AI Devices

Arm Total Solutions for IoT provides a unique solutions-based approach combining the latest specialized processing capabilities with advanced software and tooling. Arm Total Solutions for IoT are ready to implement or build upon, simplifying your design process and streamlining product development. Find out more about the first Total Solutions for IoT configurations available today.

Explore Total Solutions for IoT
Icon for software and development tools

Building Software Applications

Project Centauri is one of the foundations of Total Solutions for IoT and is designed to solve common industry problems, reduce barriers to deployment, and enable scale across the Arm Cortex-M ecosystem. Explore tools, software, and initiatives that help developers move faster and innovate with confidence.

Explore Project Centauri

Talk with an Expert

Find out how Arm’s new processors are enhancing on-device machine learning capabilities to help drive innovation and open up new business opportunities.

Contact Us

Endpoint AI Resources