How to assess a general-purpose AI model’s reliability before it’s deployed
A new technique enables users to compare several large models and choose the one that works best for their task.
Human-computer interaction
When to trust an AI model
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
“They can see themselves shaping the world they live in”
Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.
Mouth-based touchpad enables people living with paralysis to interact with computers
The startup Augmental allows users to operate phones and other devices using their tongue, mouth, and head gestures.
School of Engineering welcomes new faculty
Fifteen new faculty members join six of the school’s academic departments.
Using ideas from game theory to improve the reliability of language models
A new “consensus game,” developed by MIT CSAIL researchers, elevates AI’s text comprehension and generation skills.
President Sally Kornbluth and OpenAI CEO Sam Altman discuss the future of AI
The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.
Exploring frontiers of mechanical engineering
MIT Department of Mechanical Engineering grad students are undertaking a broad range of innovative research projects.
Natural language boosts LLM performance in coding, planning, and robotics
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.
MIT faculty, instructors, students experiment with generative AI in teaching and learning
At MIT’s Festival of Learning 2024, panelists stressed the importance of developing critical thinking skills while leveraging technologies like generative AI.