Chinese Machine Learning Beats Humans in Reading Test

The machine-learning models scored 82.44 on the Stanford Question Answering Dataset, a large-scale reading comprehension test with more than 100,000 questions, compared with 82.304 by humans. Stanford tests are used by several international universities and global technology firms, including Google, Facebook, IBM and Microsoft, to determine whether their machine learning models are able to answer the questions in the data set. Machines have already bested humans in complex games like chess, where skills such as infallible memory and raw computing power align with the intrinsic capabilities of bots. In December last year (2017), DeepMind, Google's artificial intelligence programme, was able to win a game of chess after first learning how to play the game. Where computers have surpassed human ability before in games of chess by using pre-conditioned programming, DeepMind's AlphaZero program experimented by playing games against itself until it had discerned the effectiveness of all possible moves.