Webinars

Discover tips and techniques for your Arm-based machine learning projects with our growing bank of webinars.

How to use the MATRIX Creator to unleash the power of voice recognition

Learn how to use the MATRIX Creator to unleash the power of voice recognition. Deploy the Snips voice assistant on the MATRIX Creator using the MATRIX Core programming layer in JavaScript.

Watch now

How to do edge computing everywhere with a mobile developer workstation

Learn how to do edge computing with a solar-powered mobile developer workstation and extreme edge computing box with 96Boards and miniNodes.

Watch now

Enabling industry 4.0 with NXP's MCU-based machine learning solution for power-conscious end nodes

Learn how to make the most of NXP’s Arm Cortex-M33-based MCU for your power-conscious machine learning application.

Watch now

Running and profiling Arm NN on the HiKey 960

Learn how to create Linux applications that load TensorFlow trained Neural Network models, run them on Arm Cortex-A CPUs and Mali GPUs, and profile application performance with Arm Streamline.

Watch now

Image recognition on Arm Cortex-M with CMSIS-NN

Learn how to perform real-time image recognition on a low-power Arm Cortex-M7 processor using the Arm CMSIS-NN library.

Watch now

Even faster CNNs: exploring the new class of winograd algorithms

Convolutional Neural Networks (CNNs) are compute-intensive, with increasingly complex architectures. Learn how the new class of Winograd Algorithms make CNNs faster than before, allowing implementation of workloads like classification and recognition on low-power, Arm-based platforms.

Watch now

Project Trillium: optimizing ML performance for any application

ML processing requirements vary significantly according to workload. There is no one-size-fits-all solution. This webinar discusses how to choose the best ML software and hardware combination for your use case.

Watch now

Compute Library: optimizing computer vision and machine learning on Arm

Explore industry use cases in which the adoption of optimized low-level primitives for Arm processors enabled improved performance and optimal use of heterogeneous system resources.

Watch now

Jump-start machine learning projects with CMSIS-NN on NXP i.MX RT

Learn how to use Arm NN and CMSIS-NN to develop efficient neural network applications for Cortex-M devices. Explore how to use i.MX RT processors with CMSIS-NN to run applications like keyword spotting.

Watch now

Accelerate machine learning using Compute Library and HiKey 960

Learn how to run AI and ML applications on a mobile development platform.




Watch now

Machine learning on deeply embedded and resource-constrained end nodes for the IoT

Learn how hardware technology and software libraries help developers implement tasks like voice recognition without connecting to the cloud.

Watch now