Computer Sciences

Topological data analysis can help predict stock-market crashes

EPFL scientists, together with local startup L2F, have developed a robust model that can predict when a systemic shift is about to occur, based on methods from a branch of mathematics called topological data analysis.

Machine learning & AI

Optimizing neural networks on a brain-inspired computer

Many computational properties are maximized when the dynamics of a network are at a 'critical point," a state where systems can quickly change their overall characteristics in fundamental ways, transitioning e.g. between ...

Engineering

The future of cities in the face of twin crises

Before January this year, many people around the world had never heard of Wuhan. Today, this Chinese megacity—population 11 million—has achieved notoriety as the birthplace of a pandemic.

Automotive

How the road network determines traffic capacity

ETH researchers have shown that we can use the structure of urban road networks to predict their traffic capacity. This information enables urban and transportation planners to quantify how changes will influence traffic ...

Computer Sciences

Stress testing the healthcare system

Scientists at the Complexity Science Hub Vienna (CSH) have developed a stress test to determine the resilience of regional health care in real time. They used a 1:1 computer model of the Austrian primary health care system ...

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