Bringing together an AI network for eyecare to prevent avoidable visual impairment

Nearly 285 million people around the world suffer from some form of visual impairment. Recent medical data indicates that nearly 70% of these cases could have been prevented with early detection and screening. Today, eyecare is set to leverage Artificial Intelligence (AI) and machine learning to help millions of people to predict and reduce the…


Making Ruuh converse like humans

Co-authored by Meghana Joshi and Abhay Prakash It’s easy to take the ability to converse for granted. Being able to listen to a question, detect the underlying emotion, infuse the speaker’s background and apply it in the right context may seem simple for humans, but computers have struggled with it. If chatbots can understand the…


Humanizing Artificial Intelligence (AI) with Deep Learning

Emotions run deep in every conversation we humans have. Deciphering these underlying emotions is the key to making machine interactions more human.  Detecting emotions in text is difficult enough for human beings, let alone artificially created machines, as many of our emotions are conveyed through expressions and tone of voice. At Microsoft, we are working…