Arm Community
Site
Search
User
Site
Search
User
Groups
Research Collaboration and Enablement
DesignStart
Education Hub
Innovation
Open Source Software and Platforms
Forums
AI and ML forum
Architectures and Processors forum
Arm Development Platforms forum
Arm Development Studio forum
Arm Virtual Hardware forum
Automotive forum
Compilers and Libraries forum
Graphics, Gaming, and VR forum
High Performance Computing (HPC) forum
Infrastructure Solutions forum
Internet of Things (IoT) forum
Keil forum
Morello Forum
Operating Systems forum
SoC Design and Simulation forum
中文社区论区
Blogs
AI and ML blog
Announcements
Architectures and Processors blog
Automotive blog
Graphics, Gaming, and VR blog
High Performance Computing (HPC) blog
Infrastructure Solutions blog
Innovation blog
Internet of Things (IoT) blog
Operating Systems blog
Research Articles
SoC Design and Simulation blog
Tools, Software and IDEs blog
中文社区博客
Support
Arm Support Services
Documentation
Downloads
Training
Arm Approved program
Arm Design Reviews
Community Help
More
Cancel
Arm Community blogs
AI and ML blog
Blogs
Mentions
Sub-Groups
Tags
Jump...
Cancel
AI and ML blog
Tags
Subscribe by email
More
Cancel
By date
By view count
By comment count
Descending
Ascending
Reviewing different Neural Network Models for Multi-Agent games on Arm using Unity
Sofia Jegnell
During the Game Developer Conference (GDC) in March 2023, we showcased our multi-agent demo called Candy Clash, which is a mobile game containing 100 intelligent agents.
September 11, 2023
Part 1: Build dynamic and engaging mobile games with multi-agent reinforcement learning
Koki Mitsunami
Using the Unity ML-Agents Toolkit, we developed Candy Clash demo, the multi-agent system, where dozens of rabbit characters work as a team, aiming to crack their opponent's egg.
August 16, 2023
Benefit of pruning and clustering a neural network for before deploying on Arm Ethos-U NPU
George Gekov
How to design a neural network so that the compiler is able to efficiently compress the weights of your ML model and benefit fully from the capabilities of the Ethos-U hardware?
July 22, 2023
Part 3: Build dynamic and engaging mobile games with multi-agent reinforcement learning
Koki Mitsunami
Using the Unity ML-Agents Toolkit, we developed Candy Clash demo, the multi-agent system, where dozens of rabbit characters work as a team, aiming to crack their opponent's egg.
July 3, 2023
Part 2: Build dynamic and engaging mobile games with multi-agent reinforcement learning
Koki Mitsunami
Using the Unity ML-Agents Toolkit, we developed Candy Clash demo, the multi-agent system, where dozens of rabbit characters work as a team, aiming to crack their opponent's egg.
June 28, 2023
Analyzing Machine Learning models on a layer-by-layer basis
George Gekov
In this blog, we demonstrate how to analyze a Machine Learning model on a layer-by-layer basis.
October 31, 2022
How audio development platforms can take advantage of accelerated ML processing
Mary Bennion
Join DSP Concepts and Alif Semiconductor at Arm DevSummit 2022 to discuss ML techniques commonly used for audio. Discover the features and benefits of the Audio Weaver platform.
October 24, 2022
How to Deploy PaddlePaddle on Arm Cortex-M with Arm Virtual Hardware
Liliya Wu
This blog introduces how to deploy a PP-OCRv3 English text recognition model on Arm Cortex-M55 processor with Arm Virtual Hardware.
August 31, 2022
Usability, performance, and new technologies for Machine Learning: Arm NN in 2021
James Conroy
In this blog post, read about advancements in ML with Arm NN 2021.
February 2, 2022
Vela Compiler: The first step to deploy your NN model on the Arm Ethos-U microNPU
Liliya Wu
As first step to deploy your NN model on Ethos-U, Vela Compiler is open-source and easy-use. Try it out and embrace the improvement of ML ability brought by Ethos-U to embedded system.
January 17, 2022
Optimize a ML model for fast inference on Ethos-U microNPU
Elham Harirpoush
This blog post explains how to optimize a trained deep neural network model to run on Ethos-U55 and Ethos-U65.
January 11, 2022
Arm DevSummit: Sustainable Innovation – Jewel Beetle’s Wildfire Detection Solution
pmallick
This year’s Arm DevSummit Developer Competition winner explains how his wildfire detection solution uses tech to tackle real-life sustainability issues.
December 6, 2021
Paddle-Lite improves performance of mobile devices with Arm technology
Liliya Wu
This Blog mainly introduced how Paddle-Lite improves performance of mobile devices with Arm technology, especially for CPU and Mali GPU.
December 3, 2021
The future of smart cameras is 64-bit processing
ParagBeeraka
Learn more about how the future of smart camera technology will bring with it profound transformations in the way we interact with each other and the world around us.
November 30, 2021
Arm ML Embedded Evaluation Kit
Elham Harirpoush
Build and deploy embedded machine learning applications for Arm Cortex-M55 CPU and Arm Ethos-U55 NPU with Arm ML Embedded Evaluation Kit.
November 22, 2021
Using Arm Streamline for profiling ML workloads
Pavel Rudko
Learn more about how to use Arm Streamline to profile different machine learning workloads for your applications.
November 18, 2021
Unrolling RNN models for Arm Ethos-U55 and U65
Richard Burton
This blog will show you how to train and quantize a recurrent neural network using TensorFlow, then unroll it ready for deployment on Arm Ethos-U55.
November 5, 2021
On-device face recognition with RGB camera on DTVs
Connor Wang
On-device face recognition with RGB cameras on digital televisions (DTVs) is set to become an increasingly important feature for users. Read more in this post.
November 1, 2021
Image recognition on Arm powered microcontrollers
Karl Fezer
In this blog we present a TinyML image recognition demo, on an Arm Cortex-M processor, using TensorFlow along with CMSIS-NN for optimized performance.
October 27, 2021
Advancing interactive intelligence
Kentaro Niikura
In this guest blog post, from Kentaro Niikura, read about how Renesas is implementing an advancement in AI.
October 13, 2021
PyTorch to TensorFlow Lite for deploying on Arm Ethos-U55 and U65
Richard Burton
How to convert models to run Ethos-U55 and Ethos-U65 for models trained in PyTorch.
September 28, 2021
>