Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
MIT professor and CSAIL principal investigator Regina Barzilay was recently elected to the National Academy of Medicine for her work in applying machine learning to health and medicine.
Brooks wins NEC C&C Foundation award for developing core AI tech
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.
The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
The 18 biggest computer science stories of 2018