Technique improves the reasoning capabilities of large language models
Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.
Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.
The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
DenseAV, developed at MIT, learns to parse and understand the meaning of language just by watching videos of people talking, with potential applications in multimedia search, language learning, and robotics.
A class this semester challenged students to evaluate technologies to help MIT decarbonize — with implications for organizations across the globe.
In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.
Smaller than a coin, this optical device could enable rapid prototyping on the go.
Ranking at the top for the 13th year in a row, the Institute also places first in 11 subject areas.
The fellowships provide five years of funding to doctoral students in applied science, engineering, and mathematics who have “the extraordinary creativity and principled leadership necessary to tackle problems others can’t solve.”
MIT CSAIL’s frugal deep-learning model infers the hidden physical properties of objects, then adapts to find the most stable grasps for robots in unstructured environments like homes and fulfillment centers.
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
A new quantum-system-on-chip enables the efficient control of a large array of qubits, moving toward practical quantum computing.
A new approach could streamline virtual training processes or aid clinicians in reviewing diagnostic videos.
“Alchemist” system adjusts the material attributes of specific objects within images to potentially modify video game models to fit different environments, fine-tune VFX, and diversify robotic training.
Fifteen new faculty members join six of the school’s academic departments.
Research sheds light on the properties of novel materials that could be used in electronics operating in extremely hot environments.