As artificial intelligence becomes more and more powerful, its ability to handle human-like tasks is undeniable. Artificial neural networks can learn to recognize images, use language, or write computer code. Like the brain’s circuits, they reorganize themselves as they learn, adjusting the strengths of their connections to improve their performance.
In the most recent episode of Building 32, Popescu explains how her research sits at the intersection of computational design, digital fabrication, and structural engineering.
MIT CSAIL researchers are joining the National Science Foundation’s (NSF) new Center for Human and Robot Co-Adaptation, where they’ll tackle a crucial question: What happens when assistive robots actually work with us?
