To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have good quality, and assessing its quality has been overlooked.
How to ensure high-quality synthetic wireless data when real-world data runs dry
Reader’s Picks
-
The frequency and length of daily phone use continues to rise, especially among young people. It’s a global concern, driving [...]
-
Developmental research often tells us how egocentric children are. Yet all too often we hear of children who are forced [...]
-
Being from Buffalo means getting to eat some of the best wings in the world. It means scraping snow and [...]