scholarly journals First International Conference on Artificial Intelligence, Computational Electronics and Communication System (AICECS 2021)

2022 ◽  
Vol 2161 (1) ◽  
pp. 011001

Preface Welcome to AICECS 2021 The First International conference on Artificial Intelligence, Computational Electronics and Communication System (AICECS) was held in the serene premises of Manipal Institute of Technology, Manipal Academy of Higher Education (Institute of Eminence, declared by Government of India) Manipal in the coastal region of Mangalore. Due to the impact of COVID-19, we organized this conference in virtual mode. AICECS attracted people working in diverse fields: Artificial Intelligence, Computational Electronics and Communication System. The conference was designed to create a platform for researchers from academia and industry, practicing engineers, and students. AICECS 2021 invited full-length original research contributions from science, engineering professionals from industries, R&D organizations, academic institutions, government departments, and research scholars from across the world. The manuscripts were required to contribute original research ideas, developmental ideas, analysis, findings, results, etc. A series of keynote presentations and technical paper presentations were planned to foster vigorous exchange of research findings and ideas among the participants. Each submission has been carefully reviewed at least by a minimum of two reviewers, from a committee composed of 106 members from various institutes. The AICECS 2021 Conference received 149 submissions, from various institutes across the globe, 78 were selected for full presentation at the conference. Acceptance and publication were judged based on the relevance to the conference track, clarity of presentation, originality and accuracy of results and proposed solutions. We would like to thank all authors and conference committee members for their enthusiastic participation and contribution. List of Editers, Disclaimer, About the Institute, Committees, Few Snapshots of Inaugural Function of AICECS 2021 and Keynote Speakers are available in this pdf.

2018 ◽  
Vol 45 (11) ◽  
pp. 1533-1549
Author(s):  
Nurun Naher Moni ◽  
Mohammed Ziaul Haider ◽  
Md Mahedi Al Masud

Purpose The purpose of this paper is to provide a better understanding of the dynamics of institutional practices, socio-economic status and vulnerability of shrimp fry catchers in the south-west region of Bangladesh. Design/methodology/approach This study draws on primary research conducted through face-to-face interviews with women fry collectors in the south-west region of Bangladesh. This study attempts to identify the nature and extent of the impact of institutional practices on the women engaged in catching fry regarding their positioning within the institutional framework. Findings In the coastal region of Bangladesh, the shrimp sector has opened up economic opportunities for women in terms of access to income and employment. However, women have to make a trade-off between employment gain in terms of wage and health hazards caused due to poor working conditions. The findings of the study indicate that shrimp fry catching, complemented by other sources of income, can only help women to survive. The study also finds that the vulnerability of the fry collectors is the end result of mutually interacting institutional practices under different institutional domains. Accordingly, recommendations are made with a view to effectively utilizing social capital at the community level, which will be particularly helpful in raising fry catchers’ voice in the local political arena and strengthening their position in the marketplace. Due to the higher preferences of buyers towards wild fry and the participation of a huge number of people in fry collecting, this study suggests rethinking government intervention in this regard. Originality/value This is original research focusing on the underlying structural and institutional factors behind the marginalization and vulnerability of women and devising policies that will enable modification of the factors that restrain women.


AI Magazine ◽  
2016 ◽  
Vol 37 (3) ◽  
pp. 94-98 ◽  
Author(s):  
Kenneth D. Forbus ◽  
Benjamin Kuipers ◽  
Henry Lieberman

Marvin Minsky, one of the pioneers of artificial intelligence and a renowned mathematicial and computer scientist, died on Sunday, 24 January 2016 of a cerebral hemmorhage. He was 88. In this article, AI scientists Kenneth D. Forbus (Northwestern University), Benjamin Kuipers (University of Michigan), and Henry Lieberman (Massachusetts Institute of Technology) recall their interactions with Minksy and briefly recount the impact he had on their lives and their research. A remembrance of Marvin Minsky was held at the AAAI Spring Symposium at Stanford University on March 22. Video remembrances of Minsky by Danny Bobrow, Benjamin Kuipers, Ray Kurzweil, Richard Waldinger, and others can be on the sentient webpage1 or on youtube.com.


AI Magazine ◽  
2020 ◽  
Vol 41 (1) ◽  
pp. 106-108
Author(s):  
Kenneth Forbus ◽  
Mark Finlayson

Former president of the Association for the Advancement of Artificial Intelligence, and professor at the Massachusetts Institute of Technology Patrick Henry Winston, died July 19, 2019. In this article, former students Kenneth D. Forbus and Mark A. Finlayson provide personal reflections on Winston and the impact he had on their lives and careers.


2020 ◽  
Author(s):  
Christopher Welker ◽  
David France ◽  
Alice Henty ◽  
Thalia Wheatley

Advances in artificial intelligence (AI) enable the creation of videos in which a person appears to say or do things they did not. The impact of these so-called “deepfakes” hinges on their perceived realness. Here we tested different versions of deepfake faces for Welcome to Chechnya, a documentary that used face swaps to protect the privacy of Chechen torture survivors who were persecuted because of their sexual orientation. AI face swaps that replace an entire face with another were perceived as more human-like and less unsettling compared to partial face swaps that left the survivors’ original eyes unaltered. The full-face swap was deemed the least unsettling even in comparison to the original (unaltered) face. When rendered in full, AI face swaps can appear human and avoid aversive responses in the viewer associated with the uncanny valley.


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