Machine learning (ML) is one of a range of techniques used to deliver artificial intelligence. It’s a type of data analysis that allows systems to ‘learn’ from large quantities of data, identifying patterns and making decisions with a minimum of human intervention.
As a subset of artificial intelligence (AI), ML solutions are fragmented, change quickly, and can be hard to use. ML is a heterogenous compute problem that requires diverse ML-optimized hardware solutions and a common, open-source, software framework. Arm, enabled by its broad partner base, provides a unified solution to abstract technological complexity and simplify ML.
Today, Arm’s scalable, ML-optimized technology gives developers the comprehensive hardware IP, software frameworks and ecosystem that form the foundation of scalable, intelligent computing solutions.
As AI compute is increasingly moving out of the cloud and closer to where the data is being gathered, Arm CPU and MCU technology is already handling the majority of AI and ML workloads at the edge and endpoints. The CPU is central to all AI systems, whether it’s handling the AI entirely or partnering with a co-processor, such as a GPU or an NPU for certain tasks.
What’s Powering Artificial Intelligence
To scale artificial intelligence (AI) and machine learning (ML), hardware and software developers must enable AI/ML performance across a vast array of devices. Get guidance on how to balance functionality alongside security, affordability and general compute needs.
Choosing the Right Processor IP for your Machine Learning Application
This must-read guide explores key considerations when choosing the right processor IP mix for machine learning, ensuring an optimal balance of ML system performance, cost, and product design.
Arm’s AI platform through its Project Trillium framework is driving the AI revolution and redefining device capabilities. Together with a thriving design and development ecosystem, Arm has extended its reach from smartphone CPU design and application development to ML.
Arm’s AI platform provides a total machine learning solution that includes IP, software, tools, a vast partner ecosystem, and end-to-end security enablement.
The Arm AI ecosystem offers best-in-class resources to help companies innovate and bring AI products to market quickly. Find out how you can join our vibrant and diverse partner program.
Through its vast ecosystem, Arm is already powering a wide range of devices and applications that rely on machine learning at the network edge and endpoints. By adding machine learning capabilities to processor technology, Arm is helping devices and applications become even smarter, more energy efficient, and more affordable. The result is transforming business models in an ever-increasing range of markets, from the edge to the enterprise.
Social Robot ElliQ Alleviates Loneliness Among Elderly
ElliQ is an engaging robotic companion that learns it owner’s behavior patterns to proactively suggest activities and connect to family and friends.
Embedded Machine Learning Design for Dummies
Looking to add machine learning to your device?
Explore platform configuration, hardware, software, and ecosystem significance. Grasp the basics of machine learning, explore opportunities and challenges, and learn how to get started.
Arm’s AI global ecosystem includes cutting-edge software companies that are enabling the next generation of intelligent edge devices.
Cortex-A Processor Series
Cortex-M Processor Series
Mali Graphics Processors
With so many applications for artificial intelligence emerging, it can be difficult to know where to start. Talk to an Arm expert about the right machine learning solution for your AI project.