scholarly journals An Overview of Blockchain Integration with Robotics and Artificial Intelligence

Ledger ◽  
2019 ◽  
Author(s):  
Vasco Lopes ◽  
Luís A Alexandre
Keyword(s):  
Artificial Intelligence ◽  
Robotic Systems ◽  
Clear Understanding ◽  
Blockchain Technology ◽  
The Future

Blockchain technology is growing everyday at a fast-passed rhythm and it is possible to integrate it with many systems, namely Robotics with AI services. However, this is still a recent field and there is not yet a clear understanding of what it could potentially become. In this paper, we conduct an overview of many different methods and platforms that try to leverage the power of blockchains into robotic systems, to improve AI services, or to solve problems that are present in the major blockchains, which can lead to the ability of creating robotic systems with increased capabilities and security. We present an overview, discuss the methods, and conclude the paper with our view on the future of the integration of these technologies.

Stepping back to move forward: Centering capital in discussions of technology and the future of work

2020 ◽  
Vol 5 (3-4) ◽  
pp. 129-133
Author(s):  
Benjamin Shestakofsky
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Technological Development ◽  
Structural Features ◽  
Robotic Systems ◽  
Future Of Work ◽  
Technological Unemployment ◽  
The Future ◽  
Constructivist Approaches ◽  
The Relationship

Some researchers have warned that advances in artificial intelligence will increasingly allow employers to substitute human workers with software and robotic systems, heralding an impending wave of technological unemployment. By attending to the particular contexts in which new technologies are developed and implemented, others have revealed that there is nothing inevitable about the future of work, and that there is instead the potential for a diversity of models for organizing the relationship between work and artificial intelligence. Although these social constructivist approaches allow researchers to identify sources of contingency in technological outcomes, they are less useful in explaining how aims and outcomes can converge across diverse settings. In this essay, I make the case that researchers of work and technology should endeavor to link the outcomes of artificial intelligence systems not only to their immediate environments but also to less visible—but nevertheless deeply influential—structural features of societies. I demonstrate the utility of this approach by elaborating on how finance capital structures technology choices in the workplace. I argue that investigating how the structure of ownership influences a firm’s technology choices can open our eyes to alternative models and politics of technological development, improving our understanding of how to make innovation work for everyone instead of allowing the benefits generated by technological change to be hoarded by a select few.

Cross-Industry Use of Blockchain Technology and Opportunities for the Future

2020 ◽  
pp. 64-79
Author(s):  
Dhanalakshmi Senthilkumar
Keyword(s):  
Artificial Intelligence ◽  
Data Storage ◽  
Data Input ◽  
Artificial Intelligence Techniques ◽  
Disruptive Technologies ◽  
Blockchain Technology ◽  
Multiple Data ◽  
The Future ◽  
Multiple Domains

Blockchain and artificial intelligence are two disruptive technologies in the today's world; Blockchain can connect data storage and data users from multiple domains, and different kinds of analytics applications run on top of the data in artificial intelligence techniques. So that Blockchain technology provide the excellent backbone for the development of artificial intelligence algorithms, it is useful to secure the data input from multiple data storage locations and to have whatever applications running on top of the data in a Blockchain visible to everyone. The concept of Blockchain technology and artificial intelligence techniques together develop interesting uses cases and nice applications. When paired with Blockchains, AI is better understood by humans, operates more efficiently, and the blockchains in general more efficiently. AI and Blockchain together support B2B environment and getting better outcomes.

scholarly journals Designing Robots for the Battlefield: State of the Art

2021 ◽  
pp. 131-146
Author(s):  
Bruce A. Swett ◽  
Erin N. Hahn ◽  
Ashley J. Llorens
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
Arms Race ◽  
Robotic Systems ◽  
Applied Physics ◽  
Johns Hopkins University ◽  
The Future ◽  
Future Direction ◽  
And Control ◽  
The Relationship

AbstractThere is currently a global arms race for the development of artificial intelligence (AI) and unmanned robotic systems that are empowered by AI (AI-robots). This paper examines the current use of AI-robots on the battlefield and offers a framework for understanding AI and AI-robots. It examines the limitations and risks of AI-robots on the battlefield and posits the future direction of battlefield AI-robots. It then presents research performed at the Johns Hopkins University Applied Physics Laboratory (JHU/APL) related to the development, testing, and control of AI-robots, as well as JHU/APL work on human trust of autonomy and developing self-regulating and ethical robotic systems. Finally, it examines multiple possible future paths for the relationship between humans and AI-robots.

scholarly journals Intraocular Robotic Surgical Systems

2022 ◽  
Author(s):  
Matthew J. Gerber ◽  
J. P. Hubschman
Keyword(s):  
Clinical Trials ◽  
Treatment Options ◽  
Robotic Systems ◽  
Clear Understanding ◽  
Important Work ◽  
Future Directions ◽  
Start Up ◽  
The Future ◽  
History Of ◽  
Clinical Adoption

Abstract Purpose of Review In this review, we provide a brief history of intraocular robotic surgical systems and review the latest technological advancements. The goals are to (a) provide readers with a clear understanding of the important work that has been done in this field; (b) illuminate existing challenges towards full clinical adoption; and (c) speculate on future directions. Recent Findings The majority of work on intraocular robotic surgical systems has been done in university research settings, although two systems have been evaluated in human clinical trials and one system is commercially available for use in human patients. Summary The future of robotic systems in intraocular surgical procedures will depend on the results of ongoing clinical trials and the success of recent start-up companies. Many challenges remain before such systems can become safe and effective treatment options. However, the future of intraocular robotic surgical systems is bright and full of promise.

The Modern Paradigm of Justice: Challenges of the Time

2021 ◽  
Vol 7 ◽  
pp. 5-9
Author(s):  
O. V. Kachalova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Personal Identification ◽  
Alternative Methods ◽  
High Tech ◽  
Criminal Cases ◽  
Blockchain Technology ◽  
Digital Identification ◽  
The Future ◽  
Main Ideas ◽  
Traditional Approaches

The future of modern justice is based on the idea of its anthropocentricity, according to which the center of application of any state activity is a person. The main ideas that make up the vector of the development of modern justice, discussed in the world community, are the focus of the courts on reducing conflicts in society, extending the state's services to the judicial sphere, digitalizing the process of administering justice, including using the capabilities of artificial intelligence and blockchain technology in judicial activity. A worldwide trend that has been widely developed in recent decades is the development of compromise methods for resolving legal conflicts, which involves the development of pre-trial mechanisms for resolving disputes, the expansion of alternative methods for resolving criminal cases of crimes that do not pose a great public danger, and the development of mediation. An important role in this should be assigned to the court, which informs the population about the possibilities for resolving disputes, and also creates the necessary prerequisites for resolving them. The paradigm of modern justice is changing before our eyes: the traditional approaches to justice are being replaced by its understanding as a state service for resolving legal disputes (which is the main part of justice), which must meet the requirements of accessibility, speed and quality. The state can provide this service independently through the functioning of the judicial system or delegate part of the authority for its implementation to private entities (commercial arbitration, arbitration courts, public courts. In the context of technologicalization of society, the philosophy of justice is transformed from ritualism and ritualism to convenience and accessibility. IT-technologies in justice and judicial management, smart courts, artificial intelligence, blockchain in judicial activity have become realities in the judicial systems of many countries Artificial intelligence does not replace the court, but is an auxiliary tool for administering justice. Programs developed on the basis of artificial intelligence help the court decide. Blockchain allows you to quickly integrate large amounts of data with low costs, can be used to track the arrest of property and securities, personal identification and digital identification of legal entities, drives, arrests, convictions, offenses, property, wills, licensing, etc. The future is in fast, high-tech, high-quality and affordable justice.

scholarly journals Cognitive Internet of Vehicles: Motivation, Layered Architecture and Security Issues

2019 ◽  
Author(s):  
Khondokar Fida Hasan
Keyword(s):  
Artificial Intelligence ◽  
Transportation System ◽  
Security Requirements ◽  
Security And Privacy ◽  
Local Network ◽  
Practical Implementation ◽  
Clear Understanding ◽  
Technological Evolution ◽  
Security Issues ◽  
The Future

Over the past few years, we have experienced great technological advancements in the information and communication field, which has significantly contributed to reshaping the Intelligent Transportation System (ITS) concept. Evolving from the platform of a collection of sensors aiming to collect data, the data exchanged paradigm among vehicles is shifted from the local network to the cloud. With the introduction of cloud and edge computing along with ubiquitous 5G mobile network, it is expected to see the role of Artificial Intelligence (AI) in data processing and smart decision imminent. So as to fully understand the future automobile scenario in this verge of industrial revolution 4.0, it is necessary first of all to get a clear understanding of the cutting-edge technologies that going to take place in the automotive ecosystem so that the cyber-physical impact on transportation system can be measured. CIoV, which is abbreviated from Cognitive Internet of Vehicle, is one of the recently proposed architectures of the technological evolution in transportation, and it has amassed great attention. It introduces cloud-based artificial intelligence and machine learning into transportation system. What are the future expectations of CIoV? To fully contemplate this architecture’s future potentials, and milestones set to achieve, it is crucial to understand all the technologies that leaned into it. Also, the security issues to meet the security requirements of its practical implementation. Aiming to that, this paper presents the evolution of CIoV along with the layer abstractions to outline the distinctive functional parts of the proposed architecture. It also gives an investigation of the prime security and privacy issues associated with technological evolution to take measures.

scholarly journals Artificial Intelligence : The Supermind - A Review

2022 ◽  
pp. 194-203
Author(s):  
Shruti Sunil Ajankar ◽  
Aditi Rajesh Nimodiya
Keyword(s):  
Artificial Intelligence ◽  
Clear Understanding ◽  
Human Capabilities ◽  
Health Security ◽  
Intelligent Machines ◽  
Advantages And Disadvantages ◽  
Business Application ◽  
The Future ◽  
Main Driver ◽  
The Moment

Artificial intelligence (AI) is one of the most important technologies in the world today. In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial Intelligence is impacting the future of virtually every industry and every human being. AI has acted as the main driver of emerging technologies like big data, robotics, and IoT, and it will continue to act as a technological innovator for the foreseeable future. AI is simply the study of how to make computer do things which at the moment people do the better. There are many ways to define AI, but one simple definition is “intelligence demonstrated by machines”. Primary goal of AI is to improve computer behaviour so that it can be called intelligent. AI is ubiquitous and is not only limited to computer science but has evolved to include other areas like health, security, education, music, art, and business application. This paper gives an overview of how the AI actually works, its scopes , the different applications of AI, its advantages and disadvantages and many more topics which will give a clear understanding inspite of the boundlessness of AI.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

Future Education within Disruptive Technologies Developments

2020 ◽  
Vol 26 (2) ◽  
pp. 288-293
Author(s):  
Codrin-Leonard Herţanu
Keyword(s):  
Artificial Intelligence ◽  
New Paradigm ◽  
Contemporary World ◽  
Disruptive Technologies ◽  
Educational Domain ◽  
Blockchain Technology ◽  
How People Learn ◽  
Future Education ◽  
Present World ◽  
Technology Domain

AbstractOur contemporary world is on the verge of crucial changes of an unparalleled pace. The ‘technological changeover’ is the new paradigm caused by the unprecedented evolution of the disruptive technologies. The present world has the tendency to evolve at least exponential, therefore future educational environment is fairly different than its present layout. An entire array of nowadays studies widely recognizes that the progress of the disruptive technologies will pose a meaningful impact over the educational system evolution. Among the most spectacular technologies with disruptive features we should encounter Artificial Intelligence, Blockchain Technology, Cloud Computing, and the like. In an era of technological disruption the education is seen as the new currency. With the help of Artificial Intelligence, for instance, the education system could track how people learn from kindergarten to retirement. Besides, the technology domain will move the centre of gravity from the institutional area to that of the education’s beneficiaries, as we might expect that they will recruit and employ the needed teacher staff, not the institutions. Moreover, the education’s recipients will be the main creators of tomorrow’s professions and within their community the overarching events will happen and the main decisions will be taken in the educational domain.

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