How deep learning can help scientific research

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Whether we take it for granted or not, deep learning algorithms have become an inseparable part of our daily lives. Personalized feeds, face and voice recognition, web search, smart speakers, digital assistants, email, and many other applications that we can't part ways with use deep learning algorithms under the hood. But how effective is deep learning in scientific research, where problems are often much more complex than classifying an image and requirements are much more sensitive than recommending what to buy next? To answer this question, former Google CEO Eric Schmidt and Google AI researcher Maithra Raghu have put together a comprehensive guide on the different deep learning techniques and their application to scientific research.