Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy.
Undergraduate engineering and computer science programs are No. 1; undergraduate business program is No. 2.
With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems.
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.
A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.
The Jameel World Education Lab awards more than $900K in Education Innovation Grants to researchers across MIT.
The system could be used for battery-free underwater communication across kilometer-scale distances, to aid monitoring of climate and coastal change.
Through the PKG Public Service Center’s social impact internships, MIT students leverage their analytical, technical, and creative problem-solving skills for public good.
By synchronizing media streams transmitted from the cloud to two devices, researchers could improve cloud gaming and AR/VR applications.
“Natural collaborator and advocate for students” will oversee the educational experience of the Institute’s 7,000 graduate students.
MIT graduate students in technology and policy aim to make an impact in resource-constrained communities through energy research and real-world application.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.