scholarly journals Don't Trust Your Eyes: Image Manipulation in the Age of DeepFakes

2021 ◽  
Vol 6 ◽  
Author(s):  
Johannes Langguth ◽  
Konstantin Pogorelov ◽  
Stefan Brenner ◽  
Petra Filkuková ◽  
Daniel Thilo Schroeder
Keyword(s):  
Artificial Intelligence ◽  
Image Manipulation ◽  
The Political ◽  
Fake News ◽  
Novel Technology ◽  
Political Impact ◽  
The Future ◽  
Recent Developments ◽  
Video Material

We review the phenomenon of deepfakes, a novel technology enabling inexpensive manipulation of video material through the use of artificial intelligence, in the context of today’s wider discussion on fake news. We discuss the foundation as well as recent developments of the technology, as well as the differences from earlier manipulation techniques and investigate technical countermeasures. While the threat of deepfake videos with substantial political impact has been widely discussed in recent years, so far, the political impact of the technology has been limited. We investigate reasons for this and extrapolate the types of deepfake videos we are likely to see in the future.

scholarly journals Prvih 20 godina časopisa National Security and the Future

2020 ◽  
Vol 20 (3) ◽  
pp. 7-52
Author(s):  
Miroslav Tuđman
Keyword(s):  
National Security ◽  
Critical Infrastructure ◽  
The Political ◽  
Fake News ◽  
The Past ◽  
Clear Vision ◽  
Information Operations ◽  
The Future ◽  
History Of

The author gives an overview of the history of National Security and the Future (NSF). The first editorial board accepted a clear vision and mission of the NSF. That is why the NSF had to react to the political circumstances in which the journal has operated for 20 years. In the first period, international circumstances and the policy of detuđmanization directly influenced the choice of topics and papers published in the journal. For the past five years, the NSF has paid particular attention to the security of national and European critical infrastructure. A total of 257 texts were published on more than 8,000 pages and authored by 134 authors from 25 countries. The NSF has published studies on historical forgery, information operations, production of "fake news" and contributions to the theory and methodology of intelligence activities.

The Lakefront Today

2021 ◽  
pp. 281-298
Author(s):  
Joseph D. Kearney ◽  
Thomas W. Merrill
Keyword(s):  
Public Trust ◽  
The Political ◽  
Boundary Line ◽  
Deep Tunnel ◽  
The South ◽  
The Public ◽  
The Past ◽  
Public Trust Doctrine ◽  
The Future ◽  
Recent Developments

This chapter reviews how the political settlements and legal understandings canvassed in the account continue to affect the Chicago lakefront today. It offers brief snapshots of five more recent developments on the lakefront that reflect the influence of the past — and that may be indicative of the future. The chapter begins by recounting the boundary-line agreement of 1912 which planted the seeds of the Illinois Central's demise on the lakefront. Today, the railroad has largely disappeared from the lakefront, in both name and fact. The chapter then shifts to discuss the Ward cases, which continue to affect the shape of the lakefront. It chronicles the success of Millennium Park and the Illinois Supreme Court's demotion of the public dedication doctrine to a statutory right limited to Grant Park. The chapter also recounts the Deep Tunnel project and the challenges in the South Works site. Ultimately, it discusses the appearance of the public trust doctrine on the lakefront, being invoked by preservationist groups to challenge both a new museum and the construction of President Barack Obama's presidential library (called the Obama Presidential Center).

scholarly journals Artificial Intelligence for Microscopy: What You Should Know

2019 ◽  
Author(s):  
Lucas von Chamier ◽  
Romain F. Laine ◽  
Ricardo Henriques
Keyword(s):  
Artificial Intelligence ◽  
Image Segmentation ◽  
Deep Learning ◽  
Information Content ◽  
Biomedical Research ◽  
Cell Biology ◽  
Future Directions ◽  
New Horizons ◽  
The Future ◽  
Recent Developments

Artificial Intelligence based on Deep Learning is opening new horizons in Biomedical research and promises to revolutionize the Microscopy field. Slowly, it now transitions from the hands of experts in Computer Sciences to researchers in Cell Biology. Here, we introduce recent developments in Deep Learning applied to Microscopy, in a manner accessible to non-experts. We overview its concepts, capabilities and limitations, presenting applications in image segmentation, classification and restoration. We discuss how Deep Learning shows an outstanding potential to push the limits of Microscopy, enhancing resolution, signal and information content in acquired data. Its pitfalls are carefully discussed, as well as the future directions expected in this field.

scholarly journals Artificial intelligence for microscopy: what you should know

2019 ◽  
Vol 47 (4) ◽  
pp. 1029-1040 ◽  
Author(s):  
Lucas von Chamier ◽  
Romain F. Laine ◽  
Ricardo Henriques
Keyword(s):  
Artificial Intelligence ◽  
Image Segmentation ◽  
Deep Learning ◽  
Information Content ◽  
Biomedical Research ◽  
Future Directions ◽  
New Horizons ◽  
The Future ◽  
Recent Developments

Abstract Artificial Intelligence based on Deep Learning (DL) is opening new horizons in biomedical research and promises to revolutionize the microscopy field. It is now transitioning from the hands of experts in computer sciences to biomedical researchers. Here, we introduce recent developments in DL applied to microscopy, in a manner accessible to non-experts. We give an overview of its concepts, capabilities and limitations, presenting applications in image segmentation, classification and restoration. We discuss how DL shows an outstanding potential to push the limits of microscopy, enhancing resolution, signal and information content in acquired data. Its pitfalls are discussed, along with the future directions expected in this field.

Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society

2021 ◽  
Vol 32 (3) ◽  
pp. 675-687
Author(s):  
Hemant Jain ◽  
Balaji Padmanabhan ◽  
Paul A. Pavlou ◽  
T. S. Raghu
Keyword(s):  
Artificial Intelligence ◽  
Special Section ◽  
Human Intelligence ◽  
Work Organizations ◽  
Research Directions ◽  
Research Issues ◽  
Future Of Work ◽  
The Future ◽  
Recent Developments ◽  
Working Together

Recent developments in artificial intelligence (AI) have increased interest in combining AI with human intelligence to develop superior systems that augment human and artificial intelligence. In this paper, augmented intelligence informally means computers and humans working together, by design, to enhance one another, such that the intelligence of the resulting system improves. Intelligence augmentation (IA) can pool the joint intelligence of humans and computers to transform individual work, organizations, and society. Notably, applications of IA are beginning to emerge in several domains, such as cybersecurity, privacy, counterterrorism, and healthcare, among others. We provide a brief summary of papers in this special section that represent early attempts to address some of the rapidly emerging research issues. We also present a framework to guide research on IA and advocate for the important implications of IA for the future of work, organizations, and society. We conclude by outlining promising research directions based on this framework for the information systems and related disciplines.

scholarly journals Artificial Intelligence for Microscopy: What You Should Know

2019 ◽  
Author(s):  
Lucas von Chamier ◽  
Romain F. Laine ◽  
Ricardo Henriques
Keyword(s):  
Artificial Intelligence ◽  
Image Segmentation ◽  
Deep Learning ◽  
Information Content ◽  
Biomedical Research ◽  
Cell Biology ◽  
Future Directions ◽  
New Horizons ◽  
The Future ◽  
Recent Developments

Artificial Intelligence based on Deep Learning is opening new horizons in Biomedical research and promises to revolutionize the Microscopy field. Slowly, it now transitions from the hands of experts in Computer Sciences to researchers in Cell Biology. Here, we introduce recent developments in Deep Learning applied to Microscopy, in a manner accessible to non-experts. We overview its concepts, capabilities and limitations, presenting applications in image segmentation, classification and restoration. We discuss how Deep Learning shows an outstanding potential to push the limits of Microscopy, enhancing resolution, signal and information content in acquired data. Its pitfalls are carefully discussed, as well as the future directions expected in this field.

The future of otology

2019 ◽  
Vol 133 (09) ◽  
pp. 747-758 ◽  
Author(s):  
R K Jackler ◽  
T A Jan
Keyword(s):  
Artificial Intelligence ◽  
Digital Technology ◽  
Organ Of Corti ◽  
Clinical Impact ◽  
Surgical Practice ◽  
Renaissance Period ◽  
The Future ◽  
Recent Developments ◽  
Consumer Device ◽  
Potential Clinical Impact

AbstractBackgroundThe field of otology is increasingly at the forefront of innovation in science and medicine. The inner ear, one of the most challenging systems to study, has been rendered much more open to inquiry by recent developments in research methodology. Promising advances of potential clinical impact have occurred in recent years in biological fields such as auditory genetics, ototoxic chemoprevention and organ of Corti regeneration. The interface of the ear with digital technology to remediate hearing loss, or as a consumer device within an intelligent ecosystem of connected devices, is receiving enormous creative energy. Automation and artificial intelligence can enhance otological medical and surgical practice. Otology is poised to enter a new renaissance period, in which many previously untreatable ear diseases will yield to newly introduced therapies.ObjectiveThis paper speculates on the direction otology will take in the coming decades.ConclusionMaking predictions about the future of otology is a risky endeavour. If the predictions are found wanting, it will likely be because of unforeseen revolutionary methods.

Fake news and manipulated data, the new GDPR, and the future of information

2017 ◽  
Vol 34 (2) ◽  
pp. 81-85 ◽  
Author(s):  
Manny Cohen
Keyword(s):  
Artificial Intelligence ◽  
Data Protection ◽  
Fake News ◽  
Information Industry ◽  
Major Topic ◽  
Interesting Insight ◽  
The Future ◽  
General Data ◽  
Industry Area ◽  
Insight Into

Manny Cohen, a veteran of 40 years in research and information and one of the founders of the tech industry area around Shoreditch and Old Street, now known as silicon roundabout in London; gives an interesting insight into the current and future structures and changes in the information industry. He then discusses and describes the ramifications of a major topic of today, that is the issues around Fake News. What happens when the truth can be changed? Also discussed are the industry requirements around the GDPR (General Data Protection Regulations) and how Artificial intelligence is needed to guide the industries’ future and the search for the truth.

THE GENESIS OF CONSERVATIVE IDEOLOGY, DEVELOPMENT TRENDS AND PROSPECTS IN THE POLITICAL REFORM OF MODERN COUNTRIES (ON THE EXAMPLE OF RUSSIA AND FRANCE)

2020 ◽  
Vol 10 (4) ◽  
pp. 38-43
Author(s):  
MARIETA EPREMYAN ◽  
Keyword(s):  
Political Reform ◽  
Point Of View ◽  
The Political ◽  
Development Trends ◽  
Conservative Ideology ◽  
The World ◽  
Christian Conservatism ◽  
The Future ◽  
Conservative Policy ◽  
Depth Interviews

The article examines the epistemological roots of conservative ideology, development trends and further prospects in political reform not only in modern Russia, but also in other countries. The author focuses on the “world” and Russian conservatism. In the course of the study, the author illustrates what opportunities and limitations a conservative ideology can have in political reform not only in modern Russia, but also in the world. In conclusion, it is concluded that the prospect of a conservative trend in the world is wide enough. To avoid immigration and to control the development of technology in society, it is necessary to adhere to a conservative policy. Conservatism is a consolidating ideology. It is no coincidence that the author cites as an example the understanding of conservative ideology by the French due to the fact that Russia has its own vision of the ideology of conservatism. If we say that conservatism seeks to preserve something and respects tradition, we must bear in mind that traditions in different societies, which form some kind of moral imperatives, cannot be a single phenomenon due to different historical destinies and differing religious views. Considered from the point of view of religion, Muslim and Christian conservatism will be somewhat confrontational on some issues. The purpose of the work was to consider issues related to the role, evolution and prospects of conservative ideology in the political reform of modern countries. The author focuses on Russia and France. To achieve this goal, the method of in-depth interviews with experts on how they understand conservatism was chosen. Already today, conservatism is quite diverse. It is quite possible that in the future it will transform even more and acquire new reflections.

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