Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

The team used both methods of self-supervised learning to test more than 20 million individual cells and compared them with the results of classical learning methods.

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent ...