On the Bare Necessity of Psychological Safety

The what, why and how of effective teams

A Refresher on Batch (Re-)Normalization

This post assumes you have a CS231n-ish level of understanding of neural networks (aka you…

Data Privacy in Machine Learning: A technical deep-dive

The Deep Learning Toolset — An Overview

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. We are still in the relatively early days of the deep learning…

A Short Primer on the Electronics Industry

The Electronics industry has long innovation cycles, but uses short acronyms: We can deal with both.

Mythbusters: 7 Common Myths about AI

Artificial Intelligence is one of the most hyped topics of recent years. Naturally, a lot of…

The Second Paradigm Shift in AI

With the advent of deep learning there has been a major shift in how AI engineers work. Now it looks…

The Future of Education and How AI Can Help Shape It

AI and the Question of Explainability

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

Yet another primer on the electronics industry

The what, why, why now and what next of Luminovo.