scholarly journals INNOVATION IN RETAIL

2021 ◽  
Vol 14(63) (2) ◽  
pp. 129-134
Author(s):  
Marius Bălășescu ◽  

This paper proposes an investigation of the trend concerning both to innovation in the field of retail trade and involvement of technology in streamlining the purchasing process, starting from the example given by Amazon- that is, implementing artificial intelligence and sensor-based systems in cashless stores, Amazon Go. The purpose of this scientific approach is to understand the influence of technological developments within the retail field and to analyze the current state of innovation in this industry for a possible shaping of the future buying experience.

Author(s):  
Mohammad Hosein Rezazade Mehrizi ◽  
Peter van Ooijen ◽  
Milou Homan

Abstract Objectives Why is there a major gap between the promises of AI and its applications in the domain of diagnostic radiology? To answer this question, we systematically review and critically analyze the AI applications in the radiology domain. Methods We systematically analyzed these applications based on their focal modality and anatomic region as well as their stage of development, technical infrastructure, and approval. Results We identified 269 AI applications in the diagnostic radiology domain, offered by 99 companies. We show that AI applications are primarily narrow in terms of tasks, modality, and anatomic region. A majority of the available AI functionalities focus on supporting the “perception” and “reasoning” in the radiology workflow. Conclusions Thereby, we contribute by (1) offering a systematic framework for analyzing and mapping the technological developments in the diagnostic radiology domain, (2) providing empirical evidence regarding the landscape of AI applications, and (3) offering insights into the current state of AI applications. Accordingly, we discuss the potential impacts of AI applications on the radiology work and we highlight future possibilities for developing these applications. Key Points • Many AI applications are introduced to the radiology domain and their number and diversity grow very fast. • Most of the AI applications are narrow in terms of modality, body part, and pathology. • A lot of applications focus on supporting “perception” and “reasoning” tasks.


2021 ◽  
Author(s):  
Adam Buday ◽  
◽  
Viliam Ažaltovič

The aim of this paper is the analysis of the contemporary state of implementation of artificial intelligence in the area of unmanned aerial vehicles (UAV), and a proposal of further use of artificial intelligence systems in this area in the future. We analyse three essential areas in which artificial intelligence systems are currently being implemented to some extend – path following, object detection and tracking, and anti—collision systems. In each mentioned area we apply different solution methods, technical requirements, but also advantages and disadvantages of those solutions. We present an overview of artificial intelligence as a scientific branch. Finally, we present an overview of how artificial intelligence in the field of UAV could be implemented in the future, based on an analysis of the current state and direction of research and development in the present. We describe the possibilities of use artificial intelligence systems in two areas that are currently receiving the most attention at concept level, namely the flight of autonomous UAV swarms and the improvement of communication and data exchange between individual UAVs using artificial intelligence.


Author(s):  
Rohil Malpani ◽  
Christopher W. Petty ◽  
Neha Bhatt ◽  
Lawrence H. Staib ◽  
Julius Chapiro

AbstractThe future of radiology is disproportionately linked to the applications of artificial intelligence (AI). Recent exponential advancements in AI are already beginning to augment the clinical practice of radiology. Driven by a paucity of review articles in the area, this article aims to discuss applications of AI in nononcologic IR across procedural planning, execution, and follow-up along with a discussion on the future directions of the field. Applications in vascular imaging, radiomics, touchless software interactions, robotics, natural language processing, postprocedural outcome prediction, device navigation, and image acquisition are included. Familiarity with AI study analysis will help open the current “black box” of AI research and help bridge the gap between the research laboratory and clinical practice.


Author(s):  
Michael Dunn ◽  
Tony Hope

The future of medical ethics, the ways in which it will develop and change, will be largely determined by the nature of the new situations that arise. ‘A glance into the future’ suggests that these are likely to be of two broad types: scientific and technological developments such as gene therapy, stem cell research, synthetic biology, and advances in information technology and artificial intelligence; and social and cultural changes as a result of the increasing international context of our lives. The challenges from both technology and globalization make it crucially important for medical ethics to continue to progress through the process of rational argument and the assessment of evidence.


Author(s):  
John W. Warren

In their third decade, depending on one’s definition, eBooks are still in their incunabula moment. While eBooks began to emerge prior to the year 2000, they began to garner a more robust market after the launch of Amazon’s Kindle and Apple’s iPhone, both in 2007, and Apple’s iPad in 2010. At least by some measures, eBooks today are thriving, and are bound to continue to evolve, just as publishing itself has evolved over more than five centuries. This article examines the current state and potential future of digital publishing, including enhanced eBooks, hypertext, interactivity, artificial intelligence, augmented reality, data- and gesture-based manipulation, and other evolutionary features that transform the eBook into a fundamentally different, immersive experience in reading and engagement.


2021 ◽  
Author(s):  
Jaya Verma ◽  
Deepak Kumar

Batteries based on metals-ions have the potential to meet the future needs of electric vehicle applications. This article reviews the key technological developments and scientific challenges of a broad range of Li-ion, Mg-ion and Al-ion batteries for electric vehicles.


2020 ◽  
Vol 2 (2) ◽  
pp. 73-77
Author(s):  
Mario Khreiche

Inhuman Power: Artificial Intelligence and the Future of Capitalism by Nick Dyer-Witheford, Atle Mikkola Kjøsen, and James Steinhoff is part of the Digital Barricades series that addresses concerns in the nexus of digital media, geopolitics, and political economy. In this wider context, Inhuman Capital assesses the relationship of AI and capitalism with a twofold purpose. On an empirical level, the book surveys the current state of AI research and development while, on a theoretical level, it explores in depth the utility of Marxist thought toward an analysis of a capitalist project beyond and without human involvement. Despite their unambiguous ideological leanings, the authors’ deliberate situating of the work among literature in the discourse, the attention to underlying political economies, and a detailed overview of AI technologies - and this can be said at the outset of the review - are certain to broaden the prospective readership of Inhuman Power beyond academic circles.


2017 ◽  
Author(s):  
Ruud Hortensius ◽  
Felix Hekele ◽  
Emily S. Cross

Given recent technological developments in robotics, artificial intelligence and virtual reality, it is perhaps unsurprising that the arrival of emotionally expressive and reactive artificial agents is imminent. However, if such agents are to become integrated into our social milieu, it is imperative to establish an understanding of whether and how humans perceive emotion in artificial agents. In this review, we incorporate recent findings from social robotics, virtual reality, psychology, and neuroscience to examine how people recognize and respond to emotions displayed by artificial agents. First, we review how people perceive emotions expressed by an artificial agent, such as facial and bodily expressions and vocal tone. Second, we evaluate the similarities and differences in the consequences of perceived emotions in artificial compared to human agents. Besides accurately recognizing the emotional state of an artificial agent, it is critical to understand how humans respond to those emotions. Does interacting with an angry robot induce the same responses in people as interacting with an angry person? Similarly, does watching a robot rejoice when it wins a game elicit similar feelings of elation in the human observer? Here we provide an overview of the current state of emotion expression and perception in social robotics, as well as a clear articulation of the challenges and guiding principles to be addressed as we move ever closer to truly emotional artificial agents.


Author(s):  
Roger Campione

Resumen: El Transhumanismo es una perspectiva que aboga por la posibilidad de mejorar la condición humana física, emocional y cognitiva utilizando el progreso y la tecnología. Las cuestiones que plantea requieren asumir dos premisas, una normativa y otra empírica: la primera es que la formación para el uso de las tecnologías requiere una educación ética y jurídica, además de científica. La segunda implica que en un futuro próximo habrá robots muy sofisticados y dotados de inteligencia artificial avanzada que podrán tomar decisiones operativas, así que ¿cómo regular estas capacidades? Las aplicaciones en el ámbito sanitario muestran los términos del trilema normativo relativo a la distinción conceptual entre “terapia”, “mejora” y “superación” de la condición humana. Abstract: Transhumanism stands up for the physical, emotional and cognitive human enhancement by progress and technology. The issues in question involve both a normative and an empirical assumption: the first one undertakes that the use of new technologies demands not only a scientific approach but also an ethical and legal one. The second means that in the near future advanced robots with artificial intelligence will make working decisions. So, how shall we have to rule those abilities? Many health implementations show the normative trilemma posed by the conceptual difference between therapy, enhancement and going beyond the human condition.


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