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We present Monte Carlo Physarum Machine (MCPM): a computational model suitable for reconstructing continuous transport networks from sparse 2D and 3D data. MCPM is a probabilistic generalization of Jones's (2010) agent-based model for simulating the growth of Physarum polycephalum (slime mold). We compare MCPM to Jones's work on theoretical grounds, and describe a task-specific variant designed for reconstructing the large-scale distribution of gas and dark matter in the Universe known as the cosmic web. To analyze the new model, we first explore MCPM's self-patterning behavior, showing a wide range of continuous network-like morphologies—called polyphorms—that the model produces from geometrically intuitive parameters. Applying MCPM to both simulated and observational cosmological data sets, we then evaluate its ability to produce consistent 3D density maps of the cosmic web. Finally, we examine other possible tasks where MCPM could be useful, along with several examples of fitting to domain-specific data as proofs of concept. [ABSTRACT FROM AUTHOR]

The Classification Cube art installation invites participants to become familiar with a machine-learning classification system. Inside a private space within the gallery, participants' bodies are subjected to a classification process that detects their faces and estimates their age, gender, emotion and actions. Participants are also able to see how their own classification compares with how the installation classifies a series of animated figures. Rapidly changing results encourage participants to actively perform their behavior to the system and alter the way it "sees" them. The entanglement with the system raises awareness regarding the effectiveness of machine interpretation. [ABSTRACT FROM AUTHOR]

This article introduces Resonant Waves, a work of interactive new media art that incorporates cymatic patterns into an immersive installation. The authors describe their research and design process in creating Resonant Waves, and they discuss technical details about the installation, highlighting innovative aspects of the project and contextualizing the project in terms of previous cymatics research and related artistic explorations of complex phenomena. Finally, the authors discuss audience reaction to different installations of the project and identify directions for future research in immersive cymatics. [ABSTRACT FROM AUTHOR]

This paper examines the history of the influential Interactive Image computer graphics showcase, which took place at museum and conference venues from 1987 to 1988. The authors present a preliminary exploration of the historical contexts that led to the creation of this exhibition by the Electronic Visualization Lab (EVL), which included the integrated efforts of both artists and computer scientists. In addition to providing historical details about this event, the authors introduce a media archaeology approach for examining the cultural and technological contexts in which this event is situated. [ABSTRACT FROM AUTHOR]

An introduction is presented in which the author highlights issue on topics including artworks and design projects featured in the Institute of Electrical and Electronics Engineers (IEEE) Visualization 2016 and 2017 Arts Program, VISAP'16 and VISAP'17.

An introduction is presented which discusses articles within the issue on topics including role of the public monument," Diastrophisms sound installation and mixed-reality artwork "Inhabitat."

We introduce NeuroCave, a novel immersive visualization system that facilitates the visual inspection of structural and functional connectome datasets. The representation of the human connectome as a graph enables neuroscientists to apply network-theoretic approaches in order to explore its complex characteristics. With NeuroCave, brain researchers can interact with the connectome-either in a standard desktop environment or while wearing portable virtual reality headsets (such as Oculus Rift, Samsung Gear, or Google Daydream VR platforms)-in any coordinate system or topological space, as well as cluster brain regions into different modules on-demand. Furthermore, a default side-by-side layout enables simultaneous, synchronized manipulation in 3D, utilizing modern GPU hardware architecture, and facilitates comparison tasks across different subjects or diagnostic groups or longitudinally within the same subject. Visual clutter is mitigated using a state-of-the-art edge bundling technique and through an interactive layout strategy, while modular structure is optimally positioned in 3D exploiting mathematical properties of platonic solids. NeuroCave provides new functionality to support a range of analysis tasks not available in other visualization software platforms., Competing Interests: Competing Interests: The authors have declared that no competing interests exist.