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Gal Raz, Giancarlo Valente, Michele Svanera, Sergio Benini, and András Bálint Kovács

correlates of shot-scales ( Figure 3 ): first, fMRI data was collected from healthy volunteers while they were watching at least one of these clips. Second, we applied a machine-learning approach on this data and developed a computational model that

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Ted Nannicelli

advanced by art historians Alois Riegl and Heinrich Wölfflin. To do this, they apply a machine-learning model to neurological data supplied by a set of fMRI scans. Methodology is the explicit topic of our third article, by Jose Cañas-Bajo, Teresa Cañas

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Andrew J. Ball

technologies, but with a renewed attention to such areas as intermediality, human–machine interface, virtual and augmented reality, artificial intelligence, generative art, smart environments, immersive and interactive installations, machine learning

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Synthetic Beings and Synthespian Ethics

Embodiment Technologies in Science/Fiction

Jane Stadler

humans (AI, machine learning, natural language processing, and computer vision) 5 include fears about uncontrolled release leading to ecological and social disruption and the misuse of knowledge leading to privacy and biosecurity issues, techno

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When the Future Is Hard to Recall

Episodic Memory and Mnemonic Aids in Denis Villeneuve’s Arrival

Hannah Chapelle Wojciehowski

durability of episodic memories over periods of up to one year. In addition, these scientists developed a machine-learning approach that demonstrated that a computer algorithm could predict the visual, auditory, and emotional content that viewers would or

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A Spectre Haunting Europe

Angela Merkel and the Challenges of Far-Right Populism

Joyce Marie Mushaben

gender regime and social hierarchy to a small part of the brain known as the amygdala; this cerebral component is responsible for “threat” or “reward” as well as “fight or flight” processing. Using functional magnetic resonance imaging and “machine-learning

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(Un)seen Seas

Technological Mediation, Oceanic Imaginaries, and Future Depths

Stephanie Ratté

propose that autonomous operations reflect a “necessary convergence between the fields of autonomy, machine learning, and robotics to tackle real-world problems of scientific interest in detecting and tracking episodic events” ( 2007: 1099 ). In this, the

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Documenting Sea Change

Ocean Data Technologies, Sciences, and Governance

Kathleen M. Sullivan

Support Ocean Planning: Challenges and Best Practices from the Northeast United States and Elsewhere . Boston : SeaPlan . Mackenzie , Adrian . 2015 . “ The Production of Prediction: What Does Machine Learning Want? ” European Journal of Cultural

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Distributional Concept Analysis

A Computational Model for History of Concepts

Peter De Bolla, Ewan Jones, Paul Nulty, Gabriel Recchia, and John Regan

Resources,” https://concept-lab.lib.cam.ac.uk (accessed 13 April 2019). 22 See David M. Blei, Andrew Y. Ng, and Michael I. Jordan, “Latent Dirichlet Allocation,” Journal of Machine Learning Research 3 (2003): 993–1022. 23 See Kevin M. Quinn, Burt L

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A Crystal Ball for Forests?

Analyzing the Social-Ecological Impacts of Forest Conservation and Management over the Long Term

Daniel C. Miller, Pushpendra Rana, and Catherine Benson Wahlén

.1126/science.aan0568 Jean , Neal , Marshall Burke , Michael Xie , W. Matthew Davis , David B. Lobell , and Stefano Ermon . 2016 . “ Combining Satellite Imagery and Machine Learning to Predict Poverty .” Science 353 ( 6301 ): 790 – 794