Machine-learning models can make mistakes and be difficult to use, so scientists have developed explanation methods to help users understand when and how they should trust a model’s predictions. These explanations are often complex, however, perhaps containing information about hundreds of model features. And they are sometimes presented as multifaceted visualizations that can be difficult for users who lack machine-learning expertise to fully comprehend. To help people make sense of AI explanations, MIT researchers used large language models (LLMs) to transform plot-based explanations into plain language. They developed a two-part system that converts a machine-learning explanation into a paragraph of […]

Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory and MIT professor of electrical engineering and computer science, was recently named a co-recipient of the 2024 John Scott Award by the board of directors of City Trusts. This prestigious honor, steeped in historical significance, celebrates scientific innovation at the very location where American independence was signed in Philadelphia, a testament to the enduring connection between scientific progress and human potential. The Scott Award, the first science award in America established to honor Benjamin Franklin’s scientific legacy, recognized Rus alongside professors Takeo Kanade from Carnegie Mellon University and Vijay […]

MIT Technology Review’s How To series helps you get things done.  Today, OpenAI released its video generation model Sora to the public. The announcement comes on the fifth day of the company’s “shipmas” event, a 12-day marathon of tech releases and demos. Here’s what you should know—and how you can use the video model right now. What is Sora? Sora is a powerful AI video generation model that can create videos from text prompts, animate images, or remix videos in new styles. OpenAI first previewed the model back in February, but today is the first time the company is releasing it for […]