IBM AI breakthrough sees firm smash Microsoft's image recognition record TheINQUIRER

BIG BLUE IBM has beaten Microsoft's AI image recognition accuracy record by developing distributed deep learning (DDL) software. IBM said that, given any random image from a set of 7.5 million pictures from ImageNet-22K database, the trained AI model achieved 33.8 per cent accuracy, trumping the previous record of 29.8 per cent set by Microsoft back in October 2014. What's more, IBM's system managed to achieve this in seven hours, while the process that allowed Microsoft to set the previous record took 10 days to complete. According to IBM, this is a "milestone in making Deep Learning much more practical at scale--to train AI models using millions of photos, drawings or even medical images--by dramatically increasing the speed and making significant gains in image recognition accuracy possible as evidenced in IBM's initial results." IBM smashed Microsoft's record by developing creating DDL software to help GPUs talk to each other.