Need a research hypothesis? Ask AI.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
The technique could make AI systems better at complex tasks that involve variability.
An AI method developed by Professor Markus Buehler finds hidden links between science and art to suggest novel materials.
Fifteen new faculty members join six of the school’s academic departments.
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
The MIT and Accenture Convergence Initiative for Industry and Technology announces the 2023-24 graduate fellows.