MIT scientists tune the entanglement structure in an array of qubits
The advance offers a way to characterize a fundamental resource needed for quantum computing.
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.
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.
MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.
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.
The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.
Graduate student Hammaad Adam is working to increase the supply of organs available for transplants, saving lives and improving health equity.
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
For two decades, MIT-Mexico has funded student internships and teaching, as well as faculty research collaborations.
Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.
Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.
The low-cost hardware outperforms state-of-the-art versions and could someday enable an affordable, in-home device for health monitoring.
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.