A faster, better way to train general-purpose robots
Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.
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Making it easier to verify an AI model’s responses
By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.
Combining next-token prediction and video diffusion in computer vision and robotics
A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.
An exotic-materials researcher with the soul of an explorer
Associate professor of physics Riccardo Comin never stops seeking uncharted territory.
MIT economists Daron Acemoglu and Simon Johnson share Nobel Prize
Along with James Robinson, the professors are honored for work on the relationship between economic growth and political institutions.
New 3D printing technique creates unique objects quickly and with less waste
By using a 3D printer like an iron, researchers can precisely control the color, shade, and texture of fabricated objects, using only one material.
Artificial intelligence meets “blisk” in new DARPA-funded collaboration
Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.
On technology in schools, think evolution, not revolution
Associate Professor Justin Reich’s work shows high-tech tools infuse into education one step at a time, as schools keep adapting and changing.
Modeling relationships to solve complex problems efficiently
Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.
Translating MIT research into real-world results
MIT’s innovation and entrepreneurship system helps launch water, food, and ag startups with social and economic benefits.
How AI is improving simulations with smarter sampling techniques
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
AI pareidolia: Can machines spot faces in inanimate objects?
New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.
MIT launches new Music Technology and Computation Graduate Program
The program will invite students to investigate new vistas at the intersection of music, computing, and technology.
New security protocol shields data from attackers during cloud-based computation
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
Startup helps people fall asleep by aligning audio signals with brainwaves
Elemind, founded by researchers from MIT, has developed a headband that uses acoustic stimulation to move people into a sleep state.