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
Session: Presentation and Demo
Speaker:
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
Session: Presentation and Demo
Speaker:
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
Session: Presentation and Demo
Speaker:
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
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.
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