Can machine-learning models overcome biased datasets

Researchers have applied the tools of neuroscience to study when and how an artificial neural network can overcome bias in a dataset. They found that data diversity, not dataset size, is key and that the emergence of certain types of neurons during training plays a major role in how well a neural network is able to overcome dataset bias. --- Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message