Uber Creates A Learning Algorithm Which Generates Training Data For Other AI Models

Uber's centre for advanced artificial intelligence research and platforms powers applications in computer vision, natural language processing, deep learning, advanced optimization methods, and intelligent location and sensor processing across the company. The organisation has been doing a lot of researches under these areas for quite a time now. For instance, improving location accuracy with sensing and perception, leveraging computer vision to make Uber safer and efficient, enhancing real-time forecasting, utilising conversational AIs and much more. One important thing to build these models is that they are data-hungry models. Also, producing a large amount of human labelled data is both time-consuming and costlier in manner.