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

Enabling Machine Learning Applications Using Arm Ethos-U65 on NXP i.MX 93 Applications Processor

Date: June 6, 4:00 p.m. BST/8:00 a.m. PT
Presentation and Demo
Srikanth Jagannathan, Senior product manager, NXP

This talk introduces the recently launched i.MX 93 applications processor family by describing its SoC architecture along with the components used and the target applications. We will provide details on how the built-in Arm Ethos-U65 is used as an efficient acceleration engine to support ML applications and show how the rich feature set of the i.MX 93 processors, containing both Cortex-A55 and Cortex-M33, support demanding embedded vision applications, such as a driver monitoring system.

Supercharging Functional Safety: The Future of the Automotive Industry

Date: June 13, 4:00 p.m. BST/8:00 a.m. PT
Presentation and Demo

  • Jayant Lavankar, Product Manager, Arm
  • Neil Stroud, General Manager, Automotive and Embedded, CoreAVI

Compute complexity has grown exponentially in recent years within the automotive sector. OEM’s have increased their rich UX cluster graphics with advanced HUD technology, mirror-replacement displays as well as driver assistance packages to name just a few. The industry is not stopping here. This of course puts immense pressure on functional safety requirements to keep drivers, passengers, and pedestrians secure.

In this talk we explore how CoreAVI and Arm are delivering scalable, innovative, safety critical products and solutions for the automotive industry and how they continue to develop solutions to meet increasing demands for future safety requirements.

Accelerate your AI Project Development on STM32 MCUs

Date: June 20, 4:00 p.m. GMT/8:00 a.m. PT
Presentation and Demo

  • Nicolas Gaude, AI Product Marketing Manager, ST
  • Muhammad Shahnawaz, Senior Machine Learning and Data Science Engineer, ST

Deploying artificial neural networks on resource-constrained MCUs poses significant challenges. STMicroelectronics addresses these with AI tools that optimize neural network execution on Arm Cortex-M based STM32 MCUs, offering up to 60% performance improvement and 20% memory footprint reduction. The talk showcases seamless benchmarking via the Developer Cloud and accelerated AI project development using the model zoo, Python wrappers, and Jupyter notebooks.

Tech Talks On-Demand


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.

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