<span class="vcard">David L. Chandler | MIT News Office</span>
David L. Chandler | MIT News Office

Deep-learning system explores materials’ interiors from the outside

A new method could provide detailed information about internal structures, voids, and cracks, based solely on data about exterior conditions.

Integrating humans with AI in structural design

A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.

A new mathematical approach to understanding zeolites

Study of minerals widely used in industrial processes could lead to discovery of new materials for catalysis and filtering.

Translating proteins into music, and back

By turning molecular structures into sounds, researchers gain insight into protein structures and create new variations.

New 3-D printing approach makes cell-scale lattice structures

System could provide fine-scale meshes for growing highly uniform cultures of cells with desired properties.

President Reif urges “farsighted national strategy” to address China competition

New York Times op-ed by MIT president says a national focus on innovation and research is more effective than only playing defense on trade practices.

AI-based method could speed development of specialized nanoparticles

Neural network could expedite complex physics simulations.

3Q: Anantha Chandrakasan on new MIT–IBM Watson AI Lab

Lab seeks to expand the boundaries of research on artificial intelligence.