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.

New research found a way to both improve the accuracy of deepfake detection algorithms while also enhancing fairness.

Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.

MIT CSAIL researchers are using ideas from game theory to improve the reliability of language generation in language models.

The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.

Quantum computing has huge promise from a technical perspective, but the practical benefits are less clear.

The new approach “nudges” existing climate simulations closer to future reality.

Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects.

With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.

Novel method makes tools like Stable Diffusion and DALL-E-3 faster by simplifying the image-generating process to a single step while maintaining or enhancing image quality.