What are the painpoints and the root causes of stress within the context of Industry 4.0? Konica Minolta Laboratory Europe collaborated with Unismart, within the co-innovation project Contamination Lab, an opportunity for young talents to turn their creativity and ideas into innovative solutions. Within this project, five students with very different backgrounds embraced the challenge introduced from Konica Minolta to them, to identify new solutions for digitising manufacturing.
Despite their complexity, Deep Convolutional Neural Networks (CNN) are nowadays state of the art in pattern recognition and achieve results comparable to human classifying images. As described in one of our recent publication, we can get a better knowledge about CNN to improve the learning procedure and detect corruptions in data sets.
How can a commercially-available tracking system that was originally used for gaming, be applied to recognise and monitor the performance of exercises used in rehabilitation? This question is at the basis of a project of the BioRobotics Institute of Sant’Anna School of Pisa, Italy, that has been carried out in the London Exploration Lab of Konica Minolta Laboratory Europe.
And another conference on AI? On the 18–19th April, I took part in AI Expo Global, an event hosted at the Olympia National, London, in which more than 10,000 attendees discussed not only AI and Business Intelligence, but also topics like IoT, Big Data & Analytics and the emergence of blockchain
How I met Sudha Jamthe, a noted author of several books on IoT, who is now focusing her attention on the driverless world and how I got invited to the IoT Summit in San Francisco on the 12th April: a few keywords from this event that illustrate the wide spread of IoT and Machine Learning within very different applications.