MIT scientists build a system that can generate AI models for biology research
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
With a minor in literature and environmental sustainability, the biology alumna considers perspectives from Charles Darwin to Annie Dillard.
A new technique produces perovskite nanocrystals right where they’re needed, so the exceedingly delicate materials can be integrated into nanoscale devices.
A new computational method facilitates the dense placement of objects inside a rigid container.
A longtime beloved MIT faculty member, Thornton was an adventurer who advocated exploration in all aspects of life.
The new strategy may enable engineered T cells to eradicate solid tumors such as glioblastoma.
Training artificial neural networks with data from real brains can make computer vision more robust.
Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.
The international partnership focuses on climate and sustainability.
Enjoy these recent titles from Institute faculty and staff.
MAGE merges the two key tasks of image generation and recognition, typically trained separately, into a single system.
The first RNA-guided DNA-cutting enzyme found in eukaryotes, Fanzor could one day be harnessed to edit DNA more precisely than CRISPR/Cas systems.
The system analyzes the likelihood that an attacker could thwart a certain security scheme to steal secret information.
Work could lead to heady applications in novel electronics and more.