Magnetic robots walk, crawl, and swim
New soft-bodied robots that can be controlled by a simple magnetic field are well suited to work in confined spaces.
New soft-bodied robots that can be controlled by a simple magnetic field are well suited to work in confined spaces.
PhD student Will Sussman studies wireless networks while fostering community networks.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
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.