Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Machine learning algorithms can rapidly analyze vast sums of data, uncovering patterns, insights and trends. This information can then be used to do things like prevent fraud and create hyper ...

→ It doesn’t take much to make machine-learning algorithms go awry → An algorithm can diagnose a cold from changes in someone’s voice From the April 8th 2023 edition ...

The set-up features a quantum photonic circuit built at the Politecnico di Milano (Italy), which runs a machine learning algorithm first proposed by researchers working at Quantinuum (United Kingdom).

A surge of interest in the problem began four years ago with groundbreaking results from the group of Edward Ott, a leading chaos researcher at the University of Maryland.Ott’s team found that a type ...

One early test to showcase this ability involved attempting to steer an autonomous car. A conventional neural network could only analyze visual data from the car’s camera at fixed intervals. The ...