Helping nonexperts build advanced generative AI models
MosaicML, co-founded by an MIT alumnus and a professor, made deep-learning models faster and more efficient. Its acquisition by Databricks broadened that mission.
MosaicML, co-founded by an MIT alumnus and a professor, made deep-learning models faster and more efficient. Its acquisition by Databricks broadened that mission.
The award recognizes his contributions as director of MIT Lincoln Laboratory and as vice chair and chair of the Defense Science Board.
The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.
This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.
LLMs trained primarily on text can generate complex visual concepts through code with self-correction. Researchers used these illustrations to train an image-free computer vision system to recognize real photos.
The SPARROW algorithm automatically identifies the best molecules to test as potential new medicines, given the vast number of factors affecting each choice.
Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.
Multimedia artist Jackson 2bears reimagines the Haudenosaunee longhouse and creation story.
Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.
The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.
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.
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
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.
The startup Augmental allows users to operate phones and other devices using their tongue, mouth, and head gestures.