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AI/ML

From the early pioneers of AI to the latest advancements in machine learning, this collection is your gateway to understanding how AI is transforming our world and propelling us into a future where the boundaries between humans and machines continue to blur.

Mark Patrick, Mouser Electronics
October 12, 2020

Seeing Is Believing: Image Recognition on a €10 MCU

This series is exploring the rationale for moving machine learning to the network edge. This article looks in more detail at image recognition, one of the prime use cases for ML at the edge. As explained in previous articles, there are many use cases for machine learning at the network edge. So far, I explained… Read more

AI/ML
Seeing Is Believing: Image Recognition on a €10 MCU

Exploring LIME Explanations and the Mathematics Behind It

By Denis Rothman

How AI Can Help Solve the Challenges of Economic and Financial Inequality

By Cate Lawrence

ML at the Edge: a Practical Example

By Mark Patrick, Mouser Electronics

Google AI Hub: what, why, how

By Paolo Caressa

Genetic Algorithms: A Developer’s Perspective

By Paolo Caressa

Getting started with edge machine learning

By Mark Patrick, Mouser Electronics

The cutting edge of real-time AI

By Mark Patrick, Mouser Electronics

Logging in Python: a broad, gentle introduction

By Riccardo Menoli

TensorFlow Furthers the Development of Machine Learning

By Cate Lawrence

The Evolution of Conversational AI According to Rasa

By Cate Lawrence

How to build a GAN in Python

By Paolo Caressa

IBM Think Digital 2020: AI for Enterprise and the Value of Language

By Cate Lawrence

Epidemic Intelligence, part 2: data, models and machine learning in the age of Coronavirus

By Paolo Caressa

BERT: how Google changed NLP (and how to benefit from this)

By Paolo Caressa

Using Machine Learning to diagnose COVID-19

By Toby Moncaster
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