The Latest in Artificial Intelligence Trends, Technologies, and Best Practices
This series of talks brings you the latest AI trends, technologies, and best practices from experts at Arm and our partner ecosystem. From the latest cutting-edge research to real-world use cases, code examples, workshops and demos.
If you are interested in our series of talks about AI and machine learning, sign up now.
Schedule of Upcoming AI Tech Talks
Getting Started with Arm NN on Android, in just five minutes
November 30th, 2021, 8:00 a.m. PST, 4:00 p.m. UK
Arm NN provides best-in-class machine learning performance for Arm-based Android devices and can be simply integrated into your solution using Android Studio.
In this talk, we describe the setup, which takes just five minutes! We also provide some helpful demonstrations of Arm NN performance across a number of common use cases.
Improve PyTorch App Performance with Android NNAPI Support
December 14th, 2021, 8:00 a.m. PST, 4:00 p.m. UK
The Android Neural Networks API (NNAPI) is designed by Google for running computationally intensive operations for ML on Android mobile devices. It provides a single set of APIs to benefit from available hardware accelerators, including GPUs, DSPs, and NPUs.
In this talk, we share our experience in running PyTorch Mobile with NNAPI on various mobile devices. We hope this provides developers with a sense of how these models are executed on mobile devices through PyTorch with NNAPI.
Neuton.AI
Most neural networks are based on predetermined architectures. During optimization, only neuron parameters are optimized, while the architecture remains predetermined, increasing network size unnecessarily. This Neuton talk shows how a different approach to neural network architectures can result in models that are both 1000x smaller and faster.
Arduino
Building a small, intelligent device that can recognize words, gestures, and even people or animals is now easier, thanks to new hardware, out-of-the-box libraries, and support from the tinyML community. In this talk, Arduino co-founder Massimo Banzi provides a series of examples showing how you can create tinyML projects with Arduino.
SLAMCore
Spatial AI technologies give autonomous robots and drones both pose awareness and a geometric/semantic understanding of their environments. In this talk, SLAMcore explores the use of Spatial AI in robotic applications, examining VI-SLAM, SLAMcore Spatial AI SDK on Arm-based systems, and featuring a demo of Spatial AI on Arm processors.
View the Arm AI Tech Talk YouTube Playlist
Every two weeks, we discuss and explore some of the latest trends, technologies, and best practices in the exciting world of AI, featuring incredible partners from the AI Ecosystem, as well as speakers across Arm.
Join the Arm AI Partner Program
If you are interested in presenting your project or learnings at our AI Tech Talk series and have an AI solution based on Arm IP, you can benefit from a host of co-marketing opportunities as part of the Arm AI Partner Program, including Arm AI Tech Talks. Find out more and join the program today.
Additional AI Resources
Discover additional content and other resources of interest
