scholarly journals AIive: Interactive Visualization and Sonification of Neural Networks in Virtual Reality

Author(s):  
Zhuoyue Lyu ◽  
Jiannan Li ◽  
Bryan Wang
Leonardo ◽  
2017 ◽  
Vol 50 (1) ◽  
pp. 94-95 ◽  
Author(s):  
Jung Nam ◽  
Daniel F. Keefe

Spatial Correlation is an interactive digital artwork that provides a new window into the process of creating freeform handcrafted virtual sculptures while standing in an immersive Cave virtual reality (VR) environment. The piece originates in the lab, where the artist’s full-body, dance-like sculpting process is recorded using a combination of spatial tracking devices and an array of nine synchronized video cameras. Later, in the gallery, these raw data are reinterpreted as part of an interactive visualization that relates the three spaces in which the sculpture exists: 1) the physical lab/studio space in which the sculpture was created, 2) the digital virtual space in which the sculpture is mathematically defined and stored, and 3) the physical gallery space in which viewers now interact with the sculpture.


Author(s):  
Feiyu Zhu ◽  
Yu Pan ◽  
Tian Gao ◽  
Harkamal Walia ◽  
Hongfeng Yu

2021 ◽  
pp. 49-52
Author(s):  
Gaurvi Vikram Kamra ◽  
Ankur Sharma

The concept of "articial intelligence" (AI) refers to machines that are capable of executing human-like tasks. AI can also be dened as a eld concerned with computational models that can reason and act intelligently. Perspicacious software for data computation has become a necessity as the amount of documented information and patient data has increased dramatically. The applicability, limitations, and potential future of AI-based dental diagnoses, treatment planning, and conduct are described in this concise narrative overview. AI has been used in a variety of ways, from processing of data and locating relevant information to using neural networks for diagnosis and the introduction of augmented reality and virtual reality in dental education. AI-based apps will improve patient care by relieving the dental workforce of tedious routine duties, improving population health at lower costs, and eventually facilitating individualized, anticipatory, prophylactic, and collaborative dentistry. The convergence of AI and digitization has ushered in a new age in dentistry, with tremendously promising future prospects.The applicability, limitations, and potential future of AI-based dental diagnoses, treatment planning, and conduct are described in this concise narrative overview.


2020 ◽  
Vol 153 (15) ◽  
pp. 154105
Author(s):  
Silvia Amabilino ◽  
Lars A. Bratholm ◽  
Simon J. Bennie ◽  
Michael B. O’Connor ◽  
David R. Glowacki

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