In these times, the days leading up to Christmas and the holiday season, we thought it would be appropriate and interesting to use our set of tools in our analytical toolbox and take a closer look at one of the holidays core ingredients . We are going to take an introductory look (or listen?) at... Continue Reading →
The Need for Intelligible Artificial Intelligence
Introduction A few years ago, I gave a talk at a healthcare conference organized by Computer Sweden on the importance of AI for the future of healthcare. If I remember correctly, I described a Breast Cancer Detection model I had constructed with the help of annotated data. Some people in the crowd were impressed while... Continue Reading →
Gambling with Reinforcement Learning or playing it safe with Supervised and Unsupervised Learning?
I haven't written a post in a very long time and I have gotten quite a few messages asking when the next post will be published. Too much work, a lovely summer and a lot of thinking about deep learning have kept me from writing and it is the latter I wish to talk... Continue Reading →
AI and the value of work
Introduction For those who follow Sopra Steria Analytics Sweden and expect the customary end-to-end manual to some model or technique, this post will be a major disappointment as it is entirely devoted to a discussion on the impact of AI on labor and on what could be called "the value of work". It is my... Continue Reading →
Understanding object detection using YOLO and training for new objects – Part 1
The field of computer vision for the purpose of object recognition is developing at a fast pace. Apart from the obvious examples of self-driving vehicles, there is a wide range of possible applications, such as the field of predictive maintenance of, for instance, power grids. The identification of power lines at risk (e.g. trees growing... Continue Reading →
Breast Cancer Detection using Deep Learning – speeding up histopathology
Introduction - We do live in a better world A great number of voices claim that the world is in a terrible shape and that an apocalyptic future awaits us. The truth is that life has never been better. We live in a world in which extreme poverty has dropped from 30 percent in 1990... Continue Reading →
Using CNN for Speech Emotion Recognition – What’s wrong with it?
Important note to the reader: This post is a joint work between Serge DE GOSSON DE VARENNES and Micael STARCK. Introduction A great deal of effort has been made in facial emotion recognition in the past years. This is understandable since someone's face is what we are presented in most communicative situations and it is what... Continue Reading →
When AI goes Peltarion
A while ago, I wrote a blog post on convolutional networks (A gentle introduction to Image Recognition by Convolutional Neural Network) in which I described the mathematics and inner workings of these networks. To write the post I created a model to classify "birds" and "airplanes" from a training set containing a total of 8000 images... Continue Reading →