Figure 3 - uploaded by Muhammad Riaz
Content may be subject to copyright.
Erica Humanoid Robot Jia Jia: Jia jia humanoid robot is made by China. Jia jia is first chinese humanoid robot. She looks fairly realistic, with a flexible plastic face.
Source publication
This paper comes out with a fascinating fusion of soft
sets, multisets and rough sets. We introduce novel concepts of soft
multi rough sets (SMR-Sets) and soft multi approximation spaces.
We present some fundamental properties of SMR-approximations
and their related examples. We also discuss the variation between
some properties of Pawlak approxima...
Similar publications
Let D be a distributive lattice, and let L be a frame. In this article, we introduce the notion of L-ideals of D. We show that the set of all L-ideals of D is a distributive lattice, and some essential properties of this lattice are studied. Also, we discuss some special elements of this lattice. Moreover, we define a novel congruence relation for...
Citations
... In fact, she is the first robot to be appointed an ambassador by the United Nations where she serves as the United Nations Development Programme's innovation champion. Sophia now has siblings such as Japanese Erica and Chinese Jia Jia (Riaz et al. 2020). ...
This open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African values, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa.
This is an open access book.
... In fact, she is the first robot to be appointed an ambassador by the United Nations where she serves as the United Nations Development Programme's innovation champion. Sophia now has siblings such as Japanese Erica and Chinese Jia Jia (Riaz et al. 2020). ...
This chapter provides an analysis into the factors that impact the effective adoption and successful implementation of artificial intelligence (AI) technologies in Africa. The study begins by defining the concept of “responsible AI” and what this means specifically for technologies developed and used within Africa. Further sections within the chapter present challenges including digital literacy, lack of local AI talent and governmental barriers that impede. The chapter also goes into an in-depth analysis of the AI startup and research landscape within the African continent, highlighting organisations of interest and concerning trends. ‘Challenges to effective AI adoption and Implementation in Africa’ concludes by envisioning what responsible AI could look like in the African context and provides actionable recommendations for making strides towards this goal.
... In fact, she is the first robot to be appointed an ambassador by the United Nations where she serves as the United Nations Development Programme's innovation champion. Sophia now has siblings such as Japanese Erica and Chinese Jia Jia (Riaz et al. 2020). ...
In the current African society, Artificial Intelligence (AI) is becoming more popular and seeking to cover all facets of human activity. The adoption and use of these modern technologies in the African context are currently low due to some emerging challenges. Consequently, these difficulties may have a direct influence on African economic development. In this paper, we highlight the challenges facing the adoption of AI technologies in Africa which include skills acquisition, lack of structured data ecosystem, ethics, government policies, insufficient infrastructure and network connectivity, uncertainty, and user attitude. Finally, various solutions to enhance AI adoption in Africa were then proposed.
... In fact, she is the first robot to be appointed an ambassador by the United Nations where she serves as the United Nations Development Programme's innovation champion. Sophia now has siblings such as Japanese Erica and Chinese Jia Jia (Riaz et al. 2020). ...
Robots are moving closer to human beings especially in work environments. The entry of co-bots into workspaces raises many questions. One of the key questions surrounds the likely relationship between the co-bots and their co-workers. Are co-bots to be considered as colleagues or are they tools? What ethical issues emerge from this consideration in the context of Kenyan workspaces? This chapter discusses these questions in the Kenyan context. Data for the chapter was collected using qualitative interviews with 20 data scientists selected through information-oriented purposive sampling. The chapter concludes that there are six ethical issues which can influence the perceptions of co-bots by data scientists in Kenya. These include the concept of work as a divine gift to humanity which cannot be shared with machines; the notion that treating co-bots as legal persons equates them to human beings which is viewed as demeaning to humanity; the fear that co-bots will dominate and eventually replace humans in ordinary workspaces thereby denying the latter not just an opportunity to work but to livelihood too; fear of unintended social consequences of “anthropomorphisation”; lack of trust for machines created by limited humans to offer unlimited services and companionship; and discomfort with exotic robots entering professional but also indigenous spaces. Until these ethical issues are addressed comprehensively, it is unlikely that information scientists would unreservedly welcome co-bots into their workspaces as colleagues.
... Jia Jia Humanooid Robot[10] ...
... © 2020 -IOS Press and the authors. All rights reserved Garg and Arora [10,11], Hashmi et al. [13], Hashmi and Riaz [14], Jose and Kuriaskose [15], Kaur and Garg [16], Kumar and Garg [17], Karaaslan [18], Liu et al. [20], Naeem et al. [21][22][23], Peng and Yang [24], Peng and Yuan [25], Peng et al. [26], Peng and Selvachandran [27], Peng and Liu [28],Yu et al. [54], Riaz et al. [29][30][31][32][33], Riaz and Hashmi [34][35][36], Riaz and Tehrim [37][38][39], Shabir and Naz [40] and Tehrim and Riaz [42]. ...
The q-rung orthopair fuzzy numbers (q-ROFNs) are used to deal with vague and uncertain information and they are superior to the intuitionistic fuzzy numbers (IFNs) and the Pythagorean fuzzy numbers (PFNs). In this paper, we introduce two operators namely q-rung orthopair fuzzy hybrid weighted arithmetic geometric aggregation (q-ROFHWAGA) operator and q-rung orthopair fuzzy hybrid ordered weighted arithmetic geometric aggregation (q-ROFHOWAGA) operator. The suggested operators q-ROFHWAGA and q-ROFHOWAGA are superior to the existing operators defined on q-ROFNs. We present an application of the proposed operator of q-ROFHWAGA to multiple-attribute decision-making (MADM) in computer numerical control (CNC) machine. Furthermore, we present TOPSIS method based on q-ROFNs for MADM in transport policy problem.
The objective of this paper is to present the concept of a refined neutrosophic vector space. Weak(strong) refined neutrosophic vector spaces and subspaces, and, strong refined neutrosophic quotient vector spaces are studied. Several interesting results and examples are presented. It is shown that every weak (strong) refined neutrosophic vector space is a vector space and it is equally shown that every strong refined neutrosophic vector space is a weak refined neutrosophic vector space.
The objective of this paper is to present the concept of a refined neutrosophic vector space. Weak(strong) refined neutrosophic vector spaces and subspaces, and, strong refined neutrosophic quotient vector spaces are studied. Several interesting results and examples are presented. It is shown that every weak (strong) refined neutrosophic vector space is a vector space and it is equally shown that every strong refined neutrosophic vector space is a weak refined neutrosophic vector space.
Interval-valued intuitionistic fuzzy numbers (IVIFNs) are better in modelling real-life problems more naturally, and it can apply to many fields such as Pattern Recognition, Decision Making, Cluster Analysis, Medical Diagnosis, Image Processing, etc. Especially similarity measures defined on the class of IVIFNs does play a significant role in the field of Pattern Recognition and Decision Making. Many authors from all over the world were trying to define a standard method (Similarity measure) that can be suitable for most of the problems. Unfortunately, each of the similarity measures has certain drawbacks as well as some advantages among different similarity measures available in the literature. Most of the similarity measures defined in the particular class (subset) of IVIFNs. These issues open up a pathway for further/ future research. In this study, we aim at introducing a new similarity measure defined in another class of an IVIFNs that can cover more IVIFNs in it. In this paper, first, we define a new similarity measure on the class of interval-valued intuitionistic fuzzy numbers (IVIFNs) based on the non-hesitance score function defined on the class of IVIFNs. Second, we discuss the drawback of various existing similarity measures and compare them with the proposed similarity measures using different cases. Third, the efficacy of the proposed similarity measure to familiar existing methods is studied using illustrative examples. Finally, the applicability of the proposed method in solving pattern recognition problem is depicted.
Most of the real life problems embroil uncertainties,
imprecision and vagueness. Fuzzy multisets and Pythagorean fuzzy
sets, initially suggested by Yager, are signi¯cant mathematical mod-
els to handle such real world problems. By combining these two
notions, we introduce a new kind of hybrid mathematical model:
Pythagorean fuzzy multisets (PFM-sets). We present some prime
concepts of Pythagorean fuzzy multisets and establish various alge-
braic operations on them along with some important results. We
render two applications to multi-attribute group decision making
(MAGDM), accompanied by algorithms and °ow charts, estab-
lished on PFM-sets: One in therapeutic analysis linking medical
and mathematical sciences and the other in pattern recognition.
