Models can be as straightforward as a really good metaphor. For example, human memory has at times been “modeled” as a tape recorder, a subway map, an aviary (Plato), a purse, a computer ...

Common types of AI models include machine learning, deep learning, natural language processing, computer vision, generative AI, and hybrid AI. ( Jump to Section ) ...

Past studies of other models have also shown this sort of behavioral shift, or “model drift,” over time. That alone could be a big problem for developers and researchers who’ve come to rely ...

Astronomers run computer simulations, like Bolshoi (a still image of which is shown here), to learn how the universe’s large-scale structure has evolved over billions of yeas.

Our knowledge of future climate change is largely dependent on complex computer simulation models. These models are huge – they are made up of more than 1 million lines of computer code representing ...

Model independence. Escape from Model Land draws on research carried out by David Tuckett from University College London, who has studied how people make decisions under conditions of “radical ...

Much of current science deals with even more complicated systems, and similarly lacks exact solutions. Such models have to be “computational” – describing how a system changes from one ...

The underlying science behind climate models has greatly improved in the past couple of decades, partly due to a concerted research effort known as the Coupled Model Intercomparison Project.

Models can be as straightforward as a really good metaphor. For example, human memory has at times been “modeled” as a tape recorder, a subway map, an aviary (Plato), a purse, a computer ...