An artificial intelligence can now predict the location and rate of crime across a city a week in advance with up to 90 per cent accuracy. Similar systems have been shown to perpetuate racist bias in policing, and the same could be true in this case, but the researchers who created this AI claim that it can also be used to expose those biases.

Ishanu Chattopadhyay at the University of Chicago and his colleagues created an AI model that analysed historical crime data from Chicago, Illinois, from 2014 to the end of 2016, then predicted crime levels for the weeks that followed this training period.

The model predicted the likelihood of certain crimes occurring across the city, which was divided into squares about 300 metres across, a week in advance with up to 90 per cent accuracy. It was also trained and tested on data for seven other major US cities, with a similar level of performance.

After two years of disruptions, sales of industrial robots increased worldwide in 2021, said the IFR. The organization said demand in Asia and Australia grew the most.

According to the best measures we’ve got, a set of benchmarks called MLPerf, machine learning systems can be trained nearly twice as quickly they could last year. It’s a figure that outstrips Moore’s Law by quite a ways.