A trip into the future [virtual reality and artificial intelligence]

2006 ◽  
Author(s):  
I. Pearson
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
The Future

The Future of eSports

2020 ◽  
pp. 149-164
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Data Privacy ◽  
Future Research ◽  
Business And Society ◽  
Regulatory Issues ◽  
The Future ◽  
Impossible Task ◽  
Research Questions

Predicting the future is a difficult and, arguably, impossible task. This final chapter builds on the past and present and explores macro-level trends and how they may impact the future of eSports. This includes issues related to data privacy, blockchain, artificial intelligence, virtual reality, 5G wireless, and major policy and regulatory issues that may challenge eSports. Together, these trends offer a framework to map out how eSports may impact both business and society. The final section of this chapter synthesizes the detailed research questions from each chapter to guide future research in the field of eSports.

scholarly journals Virtual Reality in Biology: Can We Become Virtual Naturalists?

2021 ◽  
Author(s):  
Juliano Morimoto ◽  
Fleur Ponton
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Virtual Reality ◽  
Virtual Worlds ◽  
Mixed Reality ◽  
Biology Education ◽  
Educational Tool ◽  
Technological Advances ◽  
Biological Interest ◽  
The Future

Technological advances made Virtual and Mixed Reality (VMR) accessible at our fingertips. However, only recently VMR has been explored for the teaching of biology. Here, we highlight how VMR applications can be useful in biology education, discuss about caveats related to VMR use that can interfere with learning, and look into the future of VMR applications in the field. We then propose that the combination of VMR with Machine Learning and Artificial Intelligence can provide unprecedented ways to visualise how species evolve in self-sustained immersive virtual worlds, thereby transforming VMR from an educational tool to the centre of biological interest.

scholarly journals The Era of Immersive Health Technology

2020 ◽  
pp. 40-47
Author(s):  
Robbie Bremner ◽  
Austin Gibbs ◽  
Andrew R. J. Mitchell
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Virtual Reality ◽  
Augmented Reality ◽  
Simulation Training ◽  
Healthcare Professionals ◽  
Review Paper ◽  
Health Technology ◽  
Health Technologies ◽  
The Future

Immersive health technologies are revolutionising the delivery of frontline healthcare, therapeutic techniques, and research. They also offer great potential to improve the training of healthcare professionals through reality-simulation training. This review paper summarises the current developments and uses of four types of immersive health technology: augmented reality, virtual reality, machine learning, and artificial intelligence. Current examples of their use in healthcare, opportunities and pitfalls, and how the use of these technologies could be improved further in the future are highlighted. How technology that once appeared to be only visionary is now part of day-to-day life for many patients and consumers is also addressed.

Artificial Intelligence, Jobs and the Future of Work: Racing with the Machines

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Edvard P.G. Bruun ◽  
Alban Duka
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Basic Income ◽  
Daily Lives ◽  
Future Of Work ◽  
Technological Unemployment ◽  
Current Trends ◽  
Driverless Cars ◽  
The Future ◽  
School Curricula

Abstract Artificial intelligence is rapidly entering our daily lives in the form of driverless cars, automated online assistants and virtual reality experiences. In so doing, AI has already substituted human employment in areas that were previously thought to be uncomputerizable. Based on current trends, the technological displacement of labor is predicted to be significant in the future – if left unchecked this will lead to catastrophic societal unemployment levels. This paper presents a means to mitigate future technological unemployment through the introduction of a Basic Income scheme, accompanied by reforms in school curricula and retraining programs. Our proposal argues that such a scheme can be funded by a special tax on those industries that make use of robotic labour; it includes a practical roadmap that would see a government take this proposal from the conceptual phase and implement it nationwide in the span of one decade.

scholarly journals Virtual Reality in Biology: Can We Become Virtual Naturalists?

2019 ◽  
Author(s):  
Juliano Morimoto ◽  
Fleur Ponton
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Virtual Reality ◽  
Virtual Worlds ◽  
Mixed Reality ◽  
Biology Education ◽  
Educational Tool ◽  
Technological Advances ◽  
Biological Interest ◽  
The Future

Technological advances made Virtual and Mixed Reality (VMR) accessible at our fingertips. However, only recently VMR has been explored for the teaching of biology. Here, we highlight how VMR applications can be useful in biology education, discuss about caveats related to VMR use that can interfere with learning, and look into the future of VMR applications in the field. We then propose that the combination of VMR with Machine Learning and Artificial Intelligence can provide unprecedented ways to visualise how species evolve in self-sustained immersive virtual worlds, thereby transforming VMR from an educational tool to the centre of biological interest.

scholarly journals Virtual Reality in Biology: Can We Become Virtual Naturalists?

2020 ◽  
Author(s):  
Juliano Morimoto ◽  
Fleur Ponton
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Virtual Reality ◽  
Virtual Worlds ◽  
Mixed Reality ◽  
Biology Education ◽  
Educational Tool ◽  
Technological Advances ◽  
Biological Interest ◽  
The Future

Technological advances made Virtual and Mixed Reality (VMR) accessible at our fingertips. However, only recently VMR has been explored for the teaching of biology. Here, we highlight how VMR applications can be useful in biology education, discuss about caveats related to VMR use that can interfere with learning, and look into the future of VMR applications in the field. We then propose that the combination of VMR with Machine Learning and Artificial Intelligence can provide unprecedented ways to visualise how species evolve in self-sustained immersive virtual worlds, thereby transforming VMR from an educational tool to the centre of biological interest.

On Sinofuturism

Screen Bodies ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 46-62
Author(s):  
Yunying Huang
Keyword(s):  
Artificial Intelligence ◽  
Pop Culture ◽  
Chinese People ◽  
Modern Chinese ◽  
The Future ◽  
Dominant Design ◽  
Urban Rural ◽  
Cultural Expressions ◽  
Contemporary Chinese

Dominant design narratives about “the future” contain many contemporary manifestations of “orientalism” and Anti-Chineseness. In US discourse, Chinese people are often characterized as a single communist mass and the primary market for which this future is designed. By investigating the construction of modern Chinese pop culture in Chinese internet and artificial intelligence, and discussing different cultural expressions across urban, rural, and queer Chinese settings, I challenge external Eurocentric and orientalist perceptions of techno-culture in China, positing instead a view of Sinofuturism centered within contemporary Chinese contexts.

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