Predicting the Future of AI with AI

The amount of scientific research in AI has been growing exponentially over the last few years, making it challenging for scientists and practitioners to keep track of the progress. Reports suggest that the number of ML papers doubles every 23 months. One of the reasons behind it is that AI is being leveraged in diverse disciplines like mathematics, statistics, physics, medicine, and biochemistry. This poses a unique challenge of organising different ideas and understanding new scientific connections. To this end, a group of researchers led by Mario Krenn and others from the Max Planck Institute for the Science of Light (MPL), Erlangen, Germany, the University of California, the University of Toronto, etc., jointly released a study on high-quality link prediction in an exponentially growing knowledge network.