MIT researchers make language models scalable self-learners
The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.
Topic
Electrical engineering and computer science (EECS)
Download RSS feed: News Articles / In the Media / Audio
Meet the tight-knit technical staff who help MIT.nano handle any challenge
All together, a core group of MIT.nano staffers has more than 400 years of technical experience in nanoscale characterization and fabrication.
Scaling audio-visual learning without labels
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
New tool helps people choose the right method for evaluating AI models
Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.
A more effective way to train machines for uncertain, real-world situations
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
CoCo: A real-time co-creative learning platform for young people
Media Lab PhD students Manuj Dhariwal and Shruti Dhariwal introduce a new paradigm of creative collaboration in digital learning environments.
Fueled by problem-solving
Undergraduate research helped feed physics and EECS major Thomas Bergamaschi’s post-MIT interest in tackling challenges.
MIT students Rupert Li and Audrey Xie named 2023-24 Goldwater Scholars
Undergraduates whose research areas explore discrete math and neural networks honored for their academic achievements.
Celebrating the impact of IDSS
A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.
Kelsey Merrill ’22 named to 2023 ALL IN Student Voting Honor Roll
The current MEng student is one of 175 students nationwide honored for nonpartisan democratic engagement work.
Probabilistic AI that knows how well it’s working
It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.
MIT community members who work to eradicate sexual violence recognized at 2023 Change-Maker Awards
Violence Prevention and Response and the Institute Discrimination and Harassment Response Office celebrate students and employees for their efforts in combating sexual misconduct.
Helping robots handle fluids
Researchers create a new simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.
A better way to match 3D volumes
By mapping the volumes of objects, rather than their surfaces, a new technique could yield solutions to computer graphics problems in animation and CAD.
Researchers use AI to identify similar materials in images
This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.