To excel at engineering design, generative AI must learn to innovate, study finds
AI models that prioritize similarity falter when asked to design something completely new.
AI models that prioritize similarity falter when asked to design something completely new.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
The challenge involves than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.
EECS professor appointed to new professorship in the MIT Schwarzman College of Computing.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
Training artificial neural networks with data from real brains can make computer vision more robust.
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
Computational chemists design better ways of discovering and designing materials for energy applications.
A new tool brings the benefits of AI programming to a much broader class of problems.