At the end of the 2019 edition of the Machine Learning Conference of Prague, we spent some time together with one of the event’s speaker, Tomaso Poggio: as one of the founders of computational neuroscience, he is a devote supporter of interdisciplinarity as a fundamental instrument for bridging brains and machines to increase our chances to arrive at understanding and developing a ‘real artificial intelligence’
For the third consecutive year, Konica Minolta participated in the Machine Learning Prague conference. The main topic was centred on practical applications of various branches of machine learning. At our booth our researchers showcased our current projects in the field of advanced multimedia analytics: Visual Quality Inspection and Customer Behaviour Analysis, as well as the Cognitive Hub and IoT solutions and services.
One of the elements of success in online shopping, is the possibility to analyse the client, to follow them along their journey and to derive useful information that may improve their experience within the retail environment. Customer Experience (CX) Management has become a fundamental component in every marketing strategy and its attempt to increase clients’ satisfaction. With the benefit of new technologies and new analysis models, today it is now possible to provide consumer behaviour analysis for brick and mortar shops.
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.