A technique for more effective multipurpose robots
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
The 10 Design Fellows are MIT graduate students working at the intersection of design and multiple disciplines across the Institute.
MIT Department of Mechanical Engineering grad students are undertaking a broad range of innovative research projects.
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.
Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.
The new approach “nudges” existing climate simulations closer to future reality.
Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.