Engineers design safer cars, more resilient spacecraft, and stronger bridges using complex math problems that drive the underlying processes. Similarly, doctors use mathematical models to predict heart problems with greater accuracy.
These problems, called partial differential equations, are the backbone of engineering and science. But solving them can take days, even weeks, especially for complex shapes.
Now, Johns Hopkins University researchers have created a new AI model called DIMON. It can solve these complex equations thousands of times faster, right on your personal computer.
“While the motivation to develop it came from our own work, this is a solution that we think will have generally a massive impact on various fields of engineering because it’s very generic and scalable,” said Natalia Trayanova, biomedical engineering and medicine professor from the Johns Hopkins University.
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