A machine-learning algorithm developed by scientists at Columbia University can approximate the behaviour of simple animal organisms. The algorithm recognised 10 Hydra behaviours, and analysed how these behaviours occur in respond to stimuli, such as changing the brightness of its environment or feeding it. The algorithm, called a neural network, is able to learn how an organism responds in response to certain stimuli and then use that knowledge to predict what it will do next. The algorithm was able to recognise and replicate the creatures’ behaviour, including their responses to stimuli and environments.
A machine-learning algorithm developed by scientists at Columbia University can approximate the behaviour of simple animal organisms. The algorithm, called a neural network, is able to learn how an organism responds in response to certain stimuli and then use that knowledge to predict what it will do next. The algorithm was able to recognise and replicate the creatures’ behaviour, including their responses to stimuli and environments.