Leonard A. Gould, EECS emeritus professor, dies at 85
Joined MIT faculty in 1953; studied control problems and dynamic modeling.
Department
Electrical Engineering and Computer Science
U.S. News ranks MIT sixth overall among U.S. universities
Institute’s undergraduate engineering program is again ranked No. 1; undergraduate business program is No. 2.
How to clean up oil spills
MIT researchers devise a surprisingly simple but effective method for magnetically separating oil and water.
Deciphering the language of transcription factors
A new method identifies the precise binding sites of transcription factors — proteins that regulate the production of other proteins — with 10 times the accuracy of its predecessors.
15 MIT students named Siebel Scholars
Graduate students in computer science, bioengineering and business honored.
Researchers identify biochemical functions for most of the human genome
New map provides a reference for interpreting function of disease-associated regions.
Mapping neurological disease
New algorithm can analyze information from medical images to identify diseased areas of the brain and connections with other regions.
Making Web applications more efficient
A new system that automatically streamlines database access patterns can make large Web applications up to three times as fast.
Connoisseur of chaos
Where other roboticists try to suppress the complex dynamics of mechanical systems, Russ Tedrake exploits them, to make control more efficient and versatile.
Making crowdsourcing easier
A new system for crowdsourcing database operations spares the user from worrying about the computational details but improves cost effectiveness.
One-molecule-thick material has big advantages
MIT researchers produce complex electronic circuits from molybdenum disulfide, a material that could have many more applications.
New nanoparticles shrink tumors in mice
Particles that shut off cancer genes could also allow researchers to screen potential drug targets more rapidly.
The wisdom of crowds
A recent paper out of Manolis Kellis' group shows the wisdom of crowds when it comes to selecting methods for analyzing gene regulatory networks.