Algorithms can beat humans at reading comprehension, but they still don't understand language

One of the core features of the Mind AI reasoning engine -- and we're getting closer to releasing a public demo of it soon--is its ability to perform natural language reasoning. If you follow the latest developments in AI from industry leaders in Silicon Valley, you are probably more familiar with the term "natural language processing." Natural language processing is a subfield of artificial intelligence research focused on training computers to manipulate human language. Most approaches build on the latest advances in machine learning and neural networks. As modern computing continues to provide greater processing power, scientists are able to fine-tune the algorithms that search for patterns in massive repositories of human language until they are able to pass a variety of tests designed to measure a machine's ability to process and manipulate human language. These tests evaluate reading comprehension and the ability to finish a sentence in a logical way.