The presentation will describe the challenge of eInclusion in the technological design
process, which impedes the complete integration of people with disabilities and elderly
in Information Society. To face this challenge, the INREDIS project aims to face 
individual needs of users instead of addressing the needs of the average user, by 
proposing basic technologies that enables the creation of personalized channels for
communication and interaction with the technological environment. For this purpose, 
Machine Learning can help constructing effective methods to reflect user needs, 
preferences and expectations (and their evolution over time) on user interfaces,
consequently improving satisfaction and performance. In particular, academia and 
industry within the INREDIS consortium explore together the potential of Machine 
Learning on multimodal services and ubiquitous assistive technologies, as well as 
adaptive user interfaces according to user and technological capabilities.