Puzzling out climate change | MIT News
Shreyaa Raghavan’s journey into solving some of the world’s toughest challenges started with a simple love for puzzles. By high school, her knack for problem-solving naturally drew her to computer…
Shreyaa Raghavan’s journey into solving some of the world’s toughest challenges started with a simple love for puzzles. By high school, her knack for problem-solving naturally drew her to computer…
In this tutorial, we will learn how to build an interactive health data monitoring tool using Hugging Face’s transformer models, Google Colab, and ipywidgets. We walk you through setting up…
During a meeting of class 6.C40/24.C40 (Ethics of Computing), Professor Armando Solar-Lezama poses the same impossible question to his students that he often asks himself in the research he leads…
Recent advancements in generative AI are creating exciting new possibilities in healthcare, especially within mental health services, where patient engagement is often a significant challenge. A recent observational study published…
The MIT Stephen A. Schwarzman College of Computing has received substantial support for its striking new headquarters on Vassar Street in Cambridge, Massachusetts. A major gift from Sebastian Man ’79,…
Recent advancements in RL for LLMs, such as DeepSeek R1, have demonstrated that even simple question-answering tasks can significantly enhance reasoning capabilities. Traditional RL approaches for LLMs often rely on…
Proteins are the workhorses that keep our cells running, and there are many thousands of types of proteins in our cells, each performing a specialized function. Researchers have long known…
Reasoning language models have demonstrated the ability to enhance performance by generating longer chain-of-thought sequences during inference, effectively leveraging increased computation. However, a major limitation is the lack of control…
While early language models could only process text, contemporary large language models now perform highly diverse tasks on different types of data. For instance, LLMs can understand many languages, generate…
Understanding videos with AI requires handling sequences of images efficiently. A major challenge in current video-based AI models is their inability to process videos as a continuous flow, missing important…