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TVM 2020
Karl Fezer
What is TVM? A quick guide on why developers focused on ML Deployment should be aware.
December 2, 2020
Accelerating Edge Computing with Arm Ethos-N78 and Artisan Physical IP on GLOBALFOUNDRIES’ 12LP+ Specialty Solution
Lakshmi Jain
In this blog, read about how to accelerate Edge Computing with Arm Ethos-N78 and Artisan.
November 4, 2020
Arm Ethos-U65: Powering innovation in a new world of AI devices
Tanuj Arora
Read about Arm Ethos-U65 and the expansion of Artificial Intelligence (AI).
October 19, 2020
New Arm ML Guide: Add a new operator to Arm NN
Kevin May
Read the announcement of the new Machine Learning how-to guide - Add a new operator to Arm NN.
October 19, 2020
Imagimob: The Fastest Path from Data Collection to Embedded AI Application
Mary Bennion
Learn how to collect data and deploy to an embedded device. This blog will show you how to do this for headphones with gesture recognition features using the world's smallest radar system by Acconeer
October 19, 2020
Making the most of Arm NN for GPU inference: OpenCL Tuner
Roberto Lopez Mendez
This blog explores how to make the most of Arm NN for GPU inference through the new OpenCL Tuner.
October 15, 2020
Smart Pruning: Improve Machine Learning Performance on Mobile
Joshua Sowerby
This blog describes what smart pruning is and how it improves machine learning performance on mobile.
October 12, 2020
How to build scalable Next Best Action solution in pure SQL with Hivemall
dkovachev
In this blog, read about Hivemall with Next Best Action (NBA) and how to build scalable solutions.
September 10, 2020
Hybrid Computer Vision Recognition for Security Applications
Alex Avramenko
Read this blog, written by Elaine Lin from ZKTeco, about computer vision for security applications.
September 2, 2020
AnchorZ: DZ Authentication: Re-thinking Traditional Authentication Technology
Mary Bennion
In this blog, Masaaki Tokuyama, Founder & CEO, AnchorZ Inc. describes a different approach to device security by using biometrics combined with user behavior.
August 18, 2020
SensiML: Good data in, good model out, good result
Mary Bennion
Read this blog written by Chris Rogers, CEO SensiML.
August 13, 2020
Super Resolution on Arm NPU
Alex Avramenko
Read about super resolution on Arm NPU, content written by Alex Shang, Yabin Zheng, Mary Bennion, and Alex Avramenko. Background In the consumer electronics industry, high resolution has become widespread…
August 5, 2020
Fluent.ai efficient multilingual speech recognition and understanding on Arm Cortex MCUs
Mary Bennion
In this blog, written by Vikrant Tomar, Sam Myer and Kirsten Joe of Fluent.ai, read about multilingual speech recognition for Arm Cortex MCUs.
July 27, 2020
Using PSA Security Toolbox to protect ML on the edge
Michael Vakulenko
In this blog, read about Platform Security Architecture (PSA) and the Security Architecture Toolbox used to protect Machine Learning (ML) models on the edge.
July 17, 2020
Embedded AI for Healthcare: How We Built COVID-Net for Embedded Devices
Mary Bennion
In this blog, read about what COVID-Net is doing in embedded healthcare.
July 16, 2020
Unlocking the power of collaborative learning on Arm MCUs
Mary Bennion
Read this blog from Alexander Eroma, head of Intelligence at Octonion about collaborative learning with Arm MCUs.
July 6, 2020
TinyML: TVM Taming the Final (ML) Frontier
Mary Bennion
In this blog, read about TinyML and the optimization of TVM.
June 8, 2020
Introducing Arm’s AI Virtual Tech Sessions for Software Developers
Mary Bennion
Join Arm's AI virtual tech talk series covering the latest trends in machine learning development, including deployment, optimization, best practices, as well as new ML technologies shaping the industry…
June 8, 2020
Building Bazel and TensorFlow 2.x on AArch64
Matthew Du Puy
In this blog, read the steps in order to build Bazel and TensorFlow on AArch64.
June 3, 2020
Unlocking AI on Arm Microcontrollers with Deep Learning Model Optimization
Mary Bennion
Read about the emergence of AI and deep learning on embedded devices and platforms.
April 21, 2020
Train a TinyML model to recognize sounds that uses 23 kB of RAM
Mary Bennion
Read about how to train a TinyML model to recognize sounds.
April 6, 2020
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