Optimising Particle Accelerators with Adaptive Machine Learning

Alexander Scheinker introduces new techniques based on machine learning.

Machine learning has become a staple of research into many of today’s most cutting-edge technologies. Until now, however, it has not been widely considered as a useful tool for online optimisation of the performance of particle accelerators. Through his research, Dr Alexander Scheinker at the Los Alamos National Laboratory in New Mexico, USA, introduces new techniques based on machine learning, […]

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Climate change is driving the expansion of zoonotic diseases

The team researches the spread of zoonotic diseases such as the Zika virus.

Climate change is expanding the range of many infectious diseases. In particular, vector-borne diseases, such as dengue or malaria, are advancing. Predictions of disease risk need to take into account both biological and abiotic factors. Dr Jeanne M. Fair and her colleagues at Los Alamos National Laboratory, New Mexico, USA, are pioneering a multidisciplinary approach to the problem. By combining […]

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Are wildfires following bark beetles more severe?

Are wildfires following bark beetles more severe?

Bark beetles are responsible for large numbers of dead trees in ponderosa pine forests in the United States. The relationship between tree mortality caused by bark beetles and increasingly severe wildfires has been analysed by Carolyn Sieg and colleagues using a detailed physics-based fire behaviour model. The team seeks to understand if fires that follow beetles are more severe, that […]

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