Simulating data in particle physics is expensive and not perfectly accurate. To get around this, researchers are now exploring the use of foundation models--large AI models trained in a general, task-agnostic way on large amounts of data.
Simulating data in particle physics is expensive and not perfectly accurate. To get around this, researchers are now exploring the use of foundation models--large AI models trained in a general, task-agnostic way on large amounts of data.