Whether it is from DNA databases, online social networks or solar farms, Big Data is being used to train artificial intelligence systems to solve real-world problems. But vast datasets, or fast data streams, do not always produce information that is in a form machine learning systems can cope with. Smart software developed by the MAESTRA project aims to fix this.
Artificial intelligence is hot news right now, with its stellar game playing, speech recognition and health diagnosis feats regularly hitting the headlines. But building learning systems is not as easy as some of the media coverage might suggest: the machine learning technology at the heart of AI faces computationally-difficult tasks in a great many applications.
Further details: Learning from massive, incompletely annotated, and structured data