AI

Articles

Read up on topics around AI, machine learning, and deep learning in these articles written by our own founders and rockstar engineers.

AI

New Perspectives on Transfer Learning: Structuring ML Concepts

This last installment introduces Hybrid Processing and maps it together with Active Learning and Transductive & Inductive Semi-Supervised Learning in a novel framework.

Sebastian Schaal
AI

Processing Unlabeled Data in Machine Learning - Structuring ML Concepts

In this post, I finally found personal closure on the topic of how AL translates to some real-world scenario and introduce Hybrid Processing as a new paradigm.

Sebastian Schaal
AI

The Four “Pure” Learning Styles in Machine Learning - Structuring ML Concepts

People are starting to realize that some techniques that were previously regarded as Unsupervised Learning should more aptly be named Self-Supervised Learning. Let’s expand on that.

Sebastian Schaal
AI

AI and the Question of Explainability

Do we need to understand our models in order to trust them?

Arianna Dorschel
AI

Data Privacy in Machine Learning

Data privacy - one of machine learning’s biggest challenges and how to tackle it.

Arianna Dorschel
AI

The Deep Learning Toolset

Every problem worth solving needs great tools for support. Deep learning is no exception. If anything, it is a realm in which good tooling will become ever more important over the coming years.

Timon Ruban
AI

Mythbusters: 7 Common Myths About AI

Artificial Intelligence is one of the most hyped topics of recent years. Naturally, a lot of superficial knowledge has found its way into the press and the minds of the general public. In this post, I want to uncover a few of those misconceptions.

Sebastian Schaal
AI

A Refresher on Batch (Re-)Normalization

If you’re like me, you enjoy throwing CNNs at every pictorial problem that comes your way. If you’re like me, then you have heard of BatchNorm.

Timon Ruban

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