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.
How a quantum scientist, a nurse, and an economist are joining the fight against global poverty
The MITx MicroMasters in Data, Economics, and Design of Policy program educates learners around the world using its data-driven approach to poverty alleviation.
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.
Robotic palm mimics human touch
MIT CSAIL researchers enhance robotic precision with sophisticated tactile sensors in the palm and agile fingers, setting the stage for improvements in human-robot interaction and prosthetic technology.
New tool empowers users to fight online misinformation
The Trustnet browser extension lets individuals assess the accuracy of any content on any website.
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.
How AI might shape LGBTQIA+ advocacy
New “AI Comes Out of the Closet” system seeks to merge artificial intelligence and LGBTQIA+ support.
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.
To build a better AI helper, start by modeling the irrational behavior of humans
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
A faster, better way to prevent an AI chatbot from giving toxic responses
Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.