Where Things Go Wrong: Perspective on Cascading Failures

By Aditi Risbud Bartl

Sometimes, one darn thing leads to another in a series of cascading failures. Understanding the weak points that lead to such cascades could help us make better investments in preventing them.

Professor Raissa D’Souza in the UC Davis College of Engineering studies complex systems and how they can go wrong.

In the Nov. 17 issue of Science, Raissa D’Souza, professor of computer science and mechanical and aerospace engineering at UC Davis, wrote a perspective article about cascading failures that arise from the reorganization of flows on a network, such as in electric power grids, supply chains and transportation networks.

Pattern Discovery over Pattern Recognition: A New Way for Computers to See

Jim Crutchfield wants to teach a machine to “see” in a new way, discovering patterns that evolve over time instead of recognizing patterns based on a stored template.

It sounds like an easy task – after all, any animal with basic vision can see a moving object, decide whether it is food or a threat and react accordingly, but what comes easily to a scallop is a challenge for the world’s biggest supercomputers.


CORI at Lawrence Berkeley Lab is one of the world’s fastest computers. It is named after Gerty Theresa Cori, the first woman to win a Nobel Prize for Physiology or Medicine. (NERSC/LBL photo)