On the Path to the Responsible AI

On the Path to the Responsible AI

Many industries, especially the media, are enthusiastic about using machine learning (ML) to enhance the analysis of large datasets. Annotated data is essential for machine learning and artificial intelligence (AI) training. While incorrectly annotated, poorly chosen,...
How to satisfy data-hungry machine learning

How to satisfy data-hungry machine learning

Machine learning requires large quantities of labeled training data (for more insights, read more in this post). That means, in order to reach acceptable performance, current speech recognition systems training demands thousands of hours of transcribed speech. For...
A Yummy Piece of Cake

A Yummy Piece of Cake

What does machine learning in the language field have to do with a cake, you might ask yourself? And how does it come that in the end we can produce better subtitles? Don’t look any further- read on! Let them be cake! Facebook’s AI Director Yann LeCun...
Spoken Languages – Learn like a child

Spoken Languages – Learn like a child

Making “sense” of speech with Curriculum Learning Methods Humans need about two decades to be trained as fully functional adults of our society. Quite some time and still pretty fast in contrast to where we are, if we want to copy the learning curve from a human to a...