Thanks to technological advances, we can now profile gene expression across thousands or millions of individual cells in parallel. This new type of data has led to the intriguing discovery that individual cell profiles can reflect the imprint of time or dynamic processes.

MIT researchers have developed a cryptographic system that could help neural networks identify promising drug candidates in massive pharmacological datasets, while keeping the data private.

Editing genes with CRISPR-Cas9 allows scientists to break DNA at specific locations, but this can create “spelling errors” that alter the function of genes.

A study by MIT researchers has uncovered a new way of telling how well people are learning English: tracking their eyes.

Read about the biggest technologies developed in computer science over the last year!