The advance offers a way to characterize a fundamental resource needed for quantum computing.

For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.

Surprising “photomolecular effect” discovered by MIT researchers could affect calculations of climate change and may lead to improved desalination and drying processes.

Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.

A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.

A communication system whose users reveal only a few verified aspects of their identity can empower less confident participants to speak up, researchers report.

Sensors that detect plant signaling molecules can reveal when crops are experiencing too much light or heat, or attack from insects or microbes.

MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.

In research that may lead to next-generation airplanes and spacecraft, MIT engineers used carbon nanotubes to prevent cracking in multilayered composites.

A CSAIL study highlights why it is so challenging to program a quantum computer to run a quantum algorithm, and offers a conceptual model for a more user-friendly quantum computer.