The Algorithm that Ate the Street: A Recursive Urbanism

Guzzado's photos of urban spave

Paul Guzzardo’s work examines the intersection of artificially intelligent machines and the City Street. The impact of each on the other is explored through probes, or what he calls The Storyboards. Guzzardo’s storyboards simultaneously examine and sketch the digitisation of the human experience. As artists, architects, and writers explore the world of “machines and us,” Guzzardo is keen to find […]

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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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