Note — Mar 17, 2019

How Artificial Intelligence Is Changing Science

Seen in → No.71

Source →

Basically it’s changing science how it’s changing lots of other things; simply new maths on larger sets of data. Still, quite interesting to see how that’s done and the way models are used. Also good to pair with the article above since both are centred on variations of GANs (generative adversarial network).

The Square Kilometer Array, a radio telescope slated to switch on in the mid-2020s, will generate about as much data traffic each year as the entire internet. […]

One such approach, known as generative modeling, can help identify the most plausible theory among competing explanations for observational data, based solely on the data, and, importantly, without any preprogrammed knowledge of what physical processes might be at work in the system under study. Proponents of generative modeling see it as novel enough to be considered a potential “third way” of learning about the universe. […]

More broadly, generative modeling takes sets of data (typically images, but not always) and breaks each of them down into a set of basic, abstract building blocks — scientists refer to this as the data’s “latent space.” The algorithm manipulates elements of the latent space to see how this affects the original data, and this helps uncover physical processes that are at work in the system.