<span class="vcard">Larry Hardesty | MIT News Office</span>
Larry Hardesty | MIT News Office

Artificial intelligence aids materials fabrication

System could pore through millions of research papers to extract “recipes” for producing materials.

Faster big-data analysis

System for performing “tensor algebra” offers 100-fold speedups over previous software packages.

How neural networks think

General-purpose technique sheds light on inner workings of neural nets trained to process language.

Automatic image retouching on your phone

System can apply a range of styles in real-time, so that the viewfinder displays the enhanced image.

Why do some neighborhoods improve?

Density of highly educated residents, rather than income or housing costs, predicts revitalization.

Peering into neural networks

New technique helps elucidate the inner workings of neural networks trained on visual data.

Computer system predicts products of chemical reactions

Machine learning approach could aid the design of industrial processes for drug manufacturing.

Shrinking data for surgical training

Technique that reduces video files to one-tenth their initial size enables speedy analysis of laparoscopic procedures.

Armando Solar-Lezama: Academic success despite an inauspicious start

Initially turned down by nearly every college he applied to, the computer scientist cleared his own path to MIT.

Explained: Neural networks

Ballyhooed artificial-intelligence technique known as “deep learning” revives 70-year-old idea.