Measuring Machine Learning's Potential

When it comes to AI in drug discovery we don't yet know the limits of its abilities, though we are making progress. What can it do, what can't it do, and what factors will determine the answers to those questions? With the help of Bryn Roberts, Global Head of Operations for Roche Pharmaceutical Research & Early Development in Basel, Switzerland, here we discuss some of the factors that will help us set the upper and lower limits AI's capabilities. In order for a machine to learn, it must be fed categorized data. For example, if you wanted to train a machine to recognize human faces in pictures, you would need to upload pictures and point out the faces in each one in a way the computer can understand.