Machine learning speeds up simulations in material science

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence (AI) autonomously acquires ...

New algorithm uses online learning for massive cell data sets

The fact that the human body is made up of cells is a basic, well-understood concept. Yet amazingly, scientists are still trying to determine the various types of cells that make up our organs and contribute to our health.

Boosting computing power for the future of particle physics

A new machine learning technology tested by an international team of scientists including MIT Assistant Professor Philip Harris and postdoc Dylan Rankin, both of the Laboratory for Nuclear Science, can spot specific particle ...

After the Big One: Understanding aftershock risk

In early September 2018, a powerful earthquake on the island of Hokkaido in northern Japan triggered landslides, toppled buildings, cut power, halted industry, killed more than 40 people and injured hundreds. The national ...

Reading the physics hiding in data

Information is encoded in data. This is true for most aspects of modern life, but it is also true in most branches of contemporary physics, and extracting useful and meaningful information from very large data sets is a key ...

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