The latest Technologies, Best Practices, and Trends from the Arm Ecosystem
Get the very latest in best practices, technologies, and trends from across the Arm ecosystem in this series of talks. Leading experts cover topics across the industry, including artificial intelligence, automotive, consumer technology, infrastructure, and IoT. All Arm Tech Talks focus on the latest cutting-edge research, real-world use cases, code examples, workshops, demos, and more—and it’s all on Arm.
Upcoming Tech Talks
Bringing Streaming Analytics to Arm-based Edge Devices
Session: Presentation and Demo
Speakers:
- Magnus Gedda, PhD, Developer, Stream Analyze
- Johan Risch, Lead Developer, Stream Analyze
- Tomas Uppgård, Head of Partnership, Stream Analyze
Edge AI is an emerging area with great potential to bring intelligence to all kinds of products and equipment using Arm-based devices. Stream Analyze works with a novel conceptual solution combining the benefits of streaming analytics and on-device edge AI into one unified solution.
The tech talk and demo offers insights into:
- The benefits of streaming analytics for edge AI on Arm-based devices.
- How to enable fast and efficient end-to-end processes for development and deployment of advanced edge-AI use cases on various Cortex-M and Cortex-A devices.
Build Home Automation Services on a Matter Compliant Smart Home Hub Using Python
Session: Presentation and Demo
Speaker:
- Sandeep Mistry, Principal Software Engineer, Arm
- Nathan Hart, Product Manager, Canonical
Matter is an application-layer protocol for smart home products, and the 1.0 specification was just released. All compliant devices can be controlled using this protocol and the associated data models.
Companies can now build home automation services for Matter using a Cortex-A based platform such as the Raspberry Pi Model B and a Linux distribution supporting Matter such as Ubuntu.
Join us for a step-by-step walkthrough to create an Ubuntu-based Matter hub and a smart home end device using Snaps and Python scripts. We'll create the hub using Arm Virtual Hardware to emulate a Raspberry Pi, and we'll learn how to connect the virtual hardware to a physical Raspberry Pi end device.
Tech Talks On-Demand
There are significant challenges in hardware-aware model design especially for AI accelerators. This talk presents a new paradigm called RANs which manipulates the amount of non-linearity in deep networks to improve hardware-awareness and efficiency.
Leverage the capabilities of the Ethos-U65 microNPU combined with Cortex-A55 CPUs on NXP's new i.MX 93 applications processor. This talk also covers how to accelerate application development by leveraging solutions and analytics from Arcturus for edge vision applications.
This talk demonstrates how Bondzai's latest AI system, DavinSy solves current tinyML problems (data acquisition, network optimization and model drift) by unlocking training on Arm-powered embedded devices from real live data.
View all Tech Talks On Demand
All Arm Tech Talks are available to watch on-demand on Arm’s YouTube channel. Each talk is live streamed to YouTube and available shortly after the go-live time.
Stay In Touch
Stay up to date with the latest news, insights and resources from Arm and our partners. Subscribe to the news that’s most relevant to you.