To do this, they used machine learning methods to design the surfaces required for specific transformations. Through this technique, they successfully designed a wide array of arbitrary linear ...

(Link) This work reviews the literature on analogy, introduces a new model of analogy, and presents a series of experiments that test and confirm the utility of this model to describe and predict ...

One approach, developed by scientists at Brookhaven Lab and Stony Brook University, was to use an energy-recovery linear accelerator ... Model of particle physics. "Learning more about the ...

Such optimization has conventionally been achieved either by testing combinations of variables manually or by using machine-learning ... intuitive meaning and takes linear correlations between ...

An international research team has sparked interest in the scientific community with results in quantum physics ... on the principles of linear algebra and a clear definition of stability.

Machine learning can get a boost from quantum physics. On certain types of machine ... even though Google’s quantum computer is noisy, meaning errors can slip into calculations.

Showing a sense of timeliness not always apparent in its deliberations, Sweden’s Royal Academy of Science has stretched the definition of physics ... good at learning to extract patterns from ...