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.
One year ago our new Konica Minolta Laboratory Europe website appeared on line for the first time. Let me share with you some data looking back over this first foundation year: 43 Pages and 38 blog posts covering our categories of News, Healthcare technologies, AI for business, Digital Workplaces, Computer Vision and Robotics. Almost 11,000 users with more than 37,000 page views.
Monday 12th February 2018. Konica Minolta opened a new research facility in Rome, Italy - confirming its transformation into a platform-led, IoT business and demonstrating to continue investing in innovation.
Konica Minolta, for the second consecutive year, is supporting the Machine Learning (ML) Conference Prague, one of the largest conferences covering ML in Europe. After last year’s talk by Wojciech Indyk focusing on Predictive Maintenance, Konica Minolta will take part in the event again with a presentation on Care Support Solution, given by Satoshi Kondo, Head of the Image Recognition Group of IoT Service Platform Development Operations in Japan.