Unlock the Benefits of Artificial Intelligence for IoT Devices
AI is impacting everything. From the datacenter to the 5G network edge to every connected device, AI use cases are driving massive compute requirements. Billions of smartphones already make daily use of machine learning (ML) for voice recognition, image processing, and other applications, but many forecasts show the growth of IoT creating billions more devices—using AI to unlock even greater possibilities.
The majority of these IoT devices will be small, power and cost-constrained microcontroller-based systems. Network bandwidth and consumer expectations around data privacy and user experience continue to demand more on-device processing, while the ability to deploy AI to the smallest devices opens up new use cases for innovative developers.
Arm offers new compute technologies coupled with software and tools to help companies realize the full potential of AI for IoT, and to help streamline the design, development, and support for AI-based IoT applications. The Cortex-M55 and Ethos-U55 processors combined with Arm’s tools deliver up to a 480x leap in ML performance, bringing endpoint AI to billions more devices.
As AI mainstream popularity grows, so does the range of applications businesses seek to develop. The fundamental use cases covering vision, voice, and vibration are inspiring companies of all sizes to innovate for new possibilities and disrupt existing markets.
See how this industrial system based on Cortex-M processors and using Mbed OS, and Cartesiam.ai monitors vibrations through machine learning techniques to predict a system failure.
The OpenMV Cam is a low-cost, extensible, Python-powered machine vision module based on a Cortex-M processor. See how the device can be used to acquire, digitize, and process images to take an appropriate action.
See how to build low-power voice-enabled products, such as light switches, thermostats, and small appliances, with Alexa Voice Services on Cortex-M-based microcontrollers.
Unlock the full potential of endpoint AI. Hear how Arm is collaborating with partners such as Google and Microsoft to accelerate AI innovation.
The combination of leading hardware IP, easy-to-use tools, open source software and leading ecosystem are enabling AI for IoT to scale.
"The ‘Empowered Edge’ is becoming a new mega trend, driven by new AI paradigms, as well as the challenges of cloud-based processing like cost, latency, reliability and privacy. Arm’s new endpoint ML technologies will help NXP’s broad base of microcontroller developers accelerate edge inference in devices limited by size and power."
"The flexibility, uplift in performance and ease of development that the Arm Cortex-M55 and Ethos-U55 processors bring will enable Shoreline IoT to deliver solutions with a much longer battery life and more complex, faster and advanced ML algorithms right at the endpoint."
Find out how Arm’s new processors are enhancing on-device machine learning capabilities to help drive innovation and open up new business opportunities.
Arm Technology Moves Compute Closer to Data Than Ever
Arm is enabling compute as close as possible to where data is generated, reducing latency to maximise time-to-value of the data.
The Road to a Trillion Intelligent Endpoints
Combining ML with higher on-device compute capabilities will enable real-time analytics in IoT endpoints, making even the smallest endpoint device smarter.