Konica Minolta, for the second consecutive year, is supporting the Machine Learning (ML) Conference Prague, which, with more than 1000 expected attendees, is one of the largest conferences covering ML in Europe. Taking place in Rudolfinum, a neo-renaissance building in Prague usually associated with music and art, from the 23rd to 25th March, the ML Prague conference will hold several workshops, and offer many practical and advanced-level talks about AI, Deep Learning, and ML that will be led by top-speakers from around the world.
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. This solution, launched in 2016, is a monitoring system for nursing care workflow, which at its core comprises a sensor box that provides 24-hour monitoring using near-infrared and microwave sensors. Within his presentation, Dr. Kondo will describe the Care Support Solution with a particular focus on the computer vision technologies employed within the system, that offers a one-stop service that covers both the nursing care frontlines and administrative work such as record keeping.
Care Support Solution is one of several innovations that Konica Minolta is investigating in its laboratories worldwide including a wound assessment system, currently under development in our labs in San Francisco. Konica Minolta is devoting considerable investment towards digital healthcare solutions as described in our white paper ‘Insights from Data’ that outlines our manifesto on the application of artificial intelligence in medical imaging.
Finally, if you are curious to know more about Konica Minolta initiatives in ML and computer vision technologies, do not miss the opportunity to visit our booth at the conference in Prague, where you will also be able to see and touch our vision for an artificial intelligence platform we are developing called Cognitive Hub.