Join the Most Prolific and Creative Community of Product and Technology Innovators
The Arm Innovator Program supports our global ecosystem of developers—talented individuals building innovative solutions to transform the way we live and work. The program highlights the amazing projects and knowledge from top technical experts building on Arm-based technology.
Get the latest news, event info, and other resources from the Arm Innovator Program.
Meet Arm Innovators
Arm innovators are industry-leading experts committed to extending the Arm architecture and sharing their knowledge in a wide variety of exciting areas, such as artificial intelligence, automotive, Internet of Things, and security.
Dr Joseph Dureau
Chief Technology Officer at Snips
Joseph is an entrepreneur, scientist and CTO at Snips, a company that develops voice-assistant technology and solutions. Joseph and the team at Snips are pioneering the future of voice-based devices by building private-by-design, decentralized voice assistant technology that is so intuitive that it simply disappears into the background. Read the Q&A blog with Joseph to learn more about Snips and the future of voice-based products that process data on the device.
Co-Founder of GuardKnox Cyber Technologies
Dionis is the CTO and Co-Founder of GuardKnox, an automotive cyber-security specialist company. The company's mission is to be at the forefront of the automotive paradigm shift to generate in-vehicle, high-performance computing platforms for security and safety, enabling scalable, flexible and secure software and hardware architecture to allow vehicles to meet the challenges of rapid change and capability deployment. Read Dionis' blog to learn how the company is innovating in automotive cyber-security.
Read the latest blogs from the Innovator Program by visiting our blogging Community.
- Meet new Arm Innovator, Adam Taylor and his top 20 resources for FPGA developers
- Say hello to the latest Arm Innovators
- Q&A with Kitty Yeung: When physics, art and technology collide
- Tutorial: Low Power Deep Learning on the OpenMV Cam
- Autonomous Robot Challenge: Meet the Winners
- How MbientLab is revolutionizing the healthcare industry using sensor technology
Machine Learning on Arm Cortex-M Microcontrollers
Deep learning algorithms are gaining popularity in IoT-edge devices due to their human-level accuracy in many tasks, including image classification and speech recognition. This creates increasing interest in deploying neural networks (NNs) on low-power processors found in always-on systems, such as those based on Arm Cortex-M microcontrollers. Check out this guide to see how you can run image classification on Cortex-M microcontrollers using CMSIS-NN.
DevDay: Explore AI on Arm
Learn about some of the key building blocks needed to develop intelligent machines. Explore the DevDay resources to get experience with machine learning, voice recognition and computer vision. Resources include workshops and tutorials with technical experts from MATRIX Labs, 96Boards, miniNodes, OpenMV, MbientLab and Acutronics.