Machine learning. Artificial intelligence. Deep learning. Once purely seen as buzzwords, these concepts were eagerly discussed in theoretical conversations and lofty imaginings of what our future may hold. But now we find ourselves firmly in the data age, where artificial intelligence has become a critical tool in processing the staggering amount of information we produce. Machine learning techniques can be used to crunch the numbers and spot patterns where the human brain cannot. Researchers are implementing their latest findings into[...]

Earlier this year OCC embarked on the sponsorship of the Fellow for Artificial Intelligence and Machine Learning at the University of Oxford’s Reuben College. To celebrate this OCC Directors and our Fellow, David Clifton, held a series of discussions exploring AI and David’s research.

In this article, we discuss how to develop a mathematical model to analyse sentiment, using a hypothetical scenario of a client wishing to classify a large volume of user comments as having a positive or negative sentiment. The data in this case consists of online comments on a product. The comments do not have a specific structure but are received as free text.

The use of artificial intelligence (AI) in healthcare has the potential to transform diagnostic techniques and save tens of thousands of lives in the next few decades, according to the UK government.

Social care chatbots will change the way people find the care they need, explains John Boyle.