ROBOTFORUM-2023 | March 13-15, 2023 | Artificial Intelligence and Robotics World Forum| International Forum on Artificial Intelligence and Robotics (2022)

About The Conference

Dear Colleagues,

It is with great pleasure that we welcome all the researchers in the field ofArtificial Intelligence and Robotics to the International Conference onArtificial Intelligence and Robotics (ROBOTFORUM2023), which will be held inLas Vegas, USA during March 13-15, 2023.

The aim of ROBOTFORUM2023 is to be a premier international forum tohighlighting the novel developments, to share new ideas, research results anddevelopment experiences and providing networking opportunities with the peersto help establish connections for early career scientists to meet a diverse mixof researchers, decision makers to strengthen existing connections and forgenew ones.

Also the main agenda of this conference is to bring together world-leadingacademics, practitioners, industry leaders, policymakers, and businessprofessionals from the fields of Artificial Intelligence and Robotics todevelop practical solutions for current challenges in these fields. Theconference series has featured plenary talks, keynote talks, special sessions,poster presentations, workshops, and contributed papers each year.

We do hope you can make time in your busy schedule to the meeting and shareyour ideas on a topic of your choice and be a part of this successfulconference.

We are looking forward to seeing you in Las Vegas, USA.

Important Dates

Abstract Submission Deadline

January 22, 2023

Earlybird Registration

September 05, 2022

Standard Registration

September 30, 2022

On-spot Registration

March 13, 2023

Plenary Speakers

ROBOTFORUM-2023 | March 13-15, 2023 | Artificial Intelligence and Robotics World Forum| International Forum on Artificial Intelligence and Robotics (1)

Ouri E Wolfson

University of Illinois at Chicago
USA

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Ouri Wolfson's main research interests are in big data, distributed systems, mobile/pervasive computing, smart city, and connectomics. He received his B.A. degree in mathematics, and his Ph.D. degree in computer science from Courant Institute of Mathematical Sciences, New York University. He is currently the Richard and Loan Hill Professor of Computer Science at the University of Illinois at Chicago, and an Affiliate Professor in the Department of Computer Science at the University of Illinois at Urbana Champaign. He is the founder of Mobitrac, a high-tech startup that was acquired by Fluensee Co.; and the founder and president of Pirouette Software Inc. which specializes in mobile data management. He served as a consultant to Argonne National Laboratory, US Army Research Laboratories, DARPA, and NASA. Before joining the University of Illinois he has been on the computer science faculty at the Technion and Columbia University, and a Member of Technical Staff at Bell Laboratories.

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Demetri Terzopoulos

University of California
USA

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Demetri Terzopoulos is a Chancellor's Professor of Computer Science at the University of California, Los Angeles, where he holds the rank of Distinguished Professor and directs the UCLA Computer Graphics & Vision Laboratory. He is also Co-Founder and Chief Scientist of VoxelCloud, Inc., a multinational healthcare AI company. He graduated from McGill University, received his PhD degree('84) in Artificial Intelligence from the Massachusetts Institute of Technology (MIT), and remained a Research Scientist at the MIT Artificial Intelligence Laboratory through 1985. He is or was a Guggenheim Fellow, a Fellow of the ACM, a Life Fellow of the IEEE, a Distinguished Fellow of the IETI, a Fellow of the Royal Society of London and the Royal Society of Canada, a Member of the European Academy of Sciences and the New York Academy of Sciences, and a Life Member of Sigma Xi. His many awards include an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences for his pioneering work on physics-based computer animation, as well as IEEE's Computer Pioneer Award, Helmholtz Prize, and inaugural Computer Vision Distinguished Researcher Award for his pioneering and sustained research on deformable models and their applications. Deformable models, a term he coined, is listed in the IEEE Taxonomy. With his more than 400 published research papers and several volumes, primarily in computer graphics, computer vision, medical imaging, computer-aided design, and artificial intelligence/life, the ISI and other indexes have listed him among the most highly-cited authors in engineering and computer science. He has given more than 500 invited talks worldwide about his research, including well over 100 distinguished lectures and keynote/plenary addresses. He joined UCLA in 2005 from New York University, where he held the Henry and Lucy Moses Endowed Professorship in Science and was Professor of Computer Science and Mathematics at NYU's Courant Institute of Mathematical Sciences. Previously, he was Professor of Computer Science and Professor of Electrical & Computer Engineering at the University of Toronto. Prior to becoming an academic in 1989, he was a Program Leader at Schlumberger corporate research centers in California and Texas.

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Phoebe Chen

La Trobe University
Australia

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Professor Phoebe Chen is Professor and Chair at the Department of Computer Science and Computer Engineering, School of Engineering and Mathematical Sciences, Faculty of Science, Technology and Engineering, La Trobe University, Melbourne Australia. She was Head of Department from Sep 2010 to April 2012. Professor Phoebe Chen hosts the ARC Centre of Excellence in Bioinformatics from 2008 - present and ARC Centre in Bioinformatics from 2003 to 2007.Phoebe finished her Bachelor of Information Technology degree in School of Information Technology and Electrical Engineering of the University of Queensland (UQ), in Brisbane, Australia. After that she finished Honours (First Class) in Information Technology in UQ. Phoebe received her Ph.D. degree in the area of Computer Science (Bioinformatics) in University of Queensland. Phoebe also finished Graduate Certificate in Higher Education from Queensland University of Technology (QUT).

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Simon X Yang

University of Guelph
Canada

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Prof. Simon X. Yang received the B.Sc. degree in engineering physics from Beijing University, China in 1987, the first of two M.Sc. degrees in biophysics from Chinese Academy of Sciences, Beijing, China in 1990, the second M.Sc. degree in electrical engineering from the University of Houston, USA in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, Canada in 1999. Prof. Yang joined the School of Engineering at the University of Guelph, Canada in 1999. Currently he is a Professor and the Head of the Advanced Robotics & Intelligent Systems (ARIS) Laboratory at the University of Guelph in Canada. Prof. Yang has diversified research expertise. His research interests include intelligent systems, robotics, control systems, sensors and multi-sensor fusion, wireless sensor networks, intelligent communication, intelligent transportation, machine learning, and computational neuroscience. Prof. Yang he has been very active in professional activities. Prof. Yang serves as the Editor-in-Chief of International Journal of Robotics and Automation, and an Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Artificial Intelligence, and several other journals. He has involved in the organization of many international conferences.

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Nassir Navab

Technical University of Munich
Germany

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Nassir Navab is a full professor and director of the Laboratories for Computer Aided Medical Procedures (CAMP: http://campar.in.tum.de) at Technical University of Munich (TUM) and an adjunct professor at Johns Hopkins University (http://camp.lcsr.jhu.edu/) with secondary faculty appointments at TUMs Medical School. He is also the director of the biannual Medical Augmented Reality (http://medicalaugmentedreality.org/) school series at Balgrist Hospital in Zurich. He received the prestigious MICCAI Enduring Impact Award in 2021 and IEEE ISMAR 10 Years Lasting Impact Award in 2015. In 2001, while acting as a distinguished member of technical staff at Siemens Corporate Research (SCR) in Princeton, he received the prestigious Siemens Inventor of the Year Award for the body of his work in interventional imaging. He also received the SMIT Technology Award in 2010. Before joining TUM in 2003, he had completed his Ph.D. at INRIA and University of Paris XI in France and had enjoyed a two-year postdoctoral fellowship at MIT Media Laboratory before and nine years of industrial research experience at SCR. He is a Fellow of the MICCAI Society and acted on its board of directors from 2007 to 2012 and from 2014 to 2017. He is also an IEEE Fellow 2022 and one of the founders of IEEE Symposium on Mixed and Augmented Reality (ISMAR) and has been serving on its Steering Committee since 2001. He is the author of hundreds of peer-reviewed scientific papers and 51 granted the US and over 80 international patents. He served as General Chair for MICCAI 2015, ISMAR 2001, 2005, and 2014. He is a funding board member of IPCAI 2010-2021 and Area Chair for ICCV 2022 and ECCV 2020. He is on the editorial board of many international journals including IEEE TMI and MedIA. He is proud of his Ph.D. students, who have received over 50 prestigious awards including MICCAI young investigator awards in 2007, 2009, 2010, 2012, 2015, 2016, 2017, and 2018 and best paper awards at IEEE ISMAR 2005 and 2017, MICCAI MedIA 2016 MICCAI IJCARS 2016 and 2019, IBM best paper award at VOEC-ICCV 2009, IPMI Erbsmann award in 2007 and best poster in 2019, and IPCAI best paper awards in 2014 and 2020. As of January 28, 2022, his papers have received over 48200 citations and enjoy an h-index of 99. His fields of interest include Robotic Imaging, Augmented Reality, Computer-Assisted Interventions, Computer Vision and Machine Learning,

(Video) IREX 2022 - Japan's largest robot exhibition | The latest robots and incredible gadgets!

ROBOTFORUM-2023 | March 13-15, 2023 | Artificial Intelligence and Robotics World Forum| International Forum on Artificial Intelligence and Robotics (6)

Frank Fitzek

Dresden University of Technology
Germany

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Frank H.P.Fitzek is a Professor and head of the "Deutsche Telekom Chair of Communication Networks" at TU Dresden coordinating the 5G Lab Germany. He is the spokesman of the DFG Cluster of Excellence Ceti. He received his diploma (Dipl.-Ing.) degree in electrical engineering from the University of Technology Rheinisch Westfalische Technische Hochschule (RWTH) Aachen, Germany, in 1997 and his Ph.D. in Electrical Engineering from the Technical University Berlin, Germany in 2002 and became Adjunct Professor at the University of Ferrara, Italy in the same year. In 2003 he joined Aalborg University as Associate Professor and later became Professor. He co-founded several start-up companies starting with acti com GmbH in Berlin in 1999. He has visited various research institutes including the Massachusetts Institute of Technology (MIT), VTT, and Arizona State University. In 2005 he won the YRP award for the work on MIMO MDC and received the Young Elite Researcher Award of Denmark. He was selected to receive the NOKIA Champion Award several times in a row from 2007 to 2011. In 2008 he was awarded the Nokia Achievement Award for his work on cooperative networks. In 2011 he received the SAPERE AUDE research grant from the Danish government and in 2012 he received the Vodafone Innovation prize. In 2015 he was awarded the honorary degree "Doctor Honoris Causa" from Budapest University of Technology and Economics (BUTE).

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Carlo Cattani

Tuscia University
Italy

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Carlo Cattani is Professor (Habil. Full Professor, since 2017) of Mathematical Physics and Applied Mathematics at the Department of Economics, Engineering, Society and Enterprise (DEIM) of Tuscia University (VT)-Italy, since 2015. He has been previously appointed as professor/research fellow at the Dept. of Mathematics University of Rome La Sapienza (1980-2004) and Dept. of Mathematics, University of Salerno (2004-2015). Research fellow at the Italian Council of Research, CNR in 1978-1980 and Visiting Research fellow at the Physics Institute of the Stockholm University (1987-1988).His main scientific research interests is focussing onnumerical and computational methods, mathematical models and methods, time series and data analysis, computer methods and simulations. Author of more than 270 scientific paperson international journals and co-author of several books he has given significant contributions to fundamental topics such asnumerical methods, dynamical systems, fractional calculus, fractals, wavelets, nonlinear waves, data analysis. Editor in Chief of the journals Fractal and Fractional and Information Sciences Letters, he is serving also as Editor in Several International Scientific Journals. He has been awarded Honorary professor at the Azerbaijan University (2019), at the BSP University, Ufa-Russia (2009) for his contribution in research and international cooperation, and (in 2018) as adjunct Professor at the Ton Duc Thang University HCMC Vietnam. For the many achievements in research (H-index: Scopus (41), WoS (36), Google Scholar (47))he has beenlisted in the 2020 World Ranking of Scientists (Top 2%), ranking 85th (3d in Italy) for numerical and computational mathematics, and 16th over 335 Italian Mathematicians of this list.

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Li Xinde

Southeast University
China

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Xinde Li earned his Ph.D. in Control Theory and Control Engineering, from the Department of Control Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China, in 2007. Afterwards, he joined School of Automation, Southeast University, Nanjing, China, where he is currently a professor. He was an Academician of Russian Academy of Natural Sciences elected in 2020 and a cover person of Scientific Chinese in the same year. He was a vice director of Intelligent Robot Committee of Chinese Association for Artificial Intelligence from 2017, a vice director of Intelligent Products and Industry Working Committee of Chinese Association for Artificial Intelligence from 2019. His research interests include Artificial Intelligence, Intelligent Robot, Machine Perception and Understanding, and human-robot interaction, etc. He has undertaken many national key projects, i.e. National 863 key project, JKW key project, etc. and has published more than 80 high-quality papers and 2 books, and owns 17 national invention patents. He also won many prizes, i.e. international contribution prize, Scientific and Technological Progress Award in CAA, etc.

Keynote Speakers

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Hoshang Kolivand

Liverpool John Moores University
UK

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Hoshang Kolivand is an Associate Professor in Human Computer Interaction at Liverpool John Moores University, UK and a Visiting professor at Barath University, India. He received his MSc degree in Applied Mathematics and Computer Science from Amirkabir University of Technology, Tehran, Iran, and his PhD from Universiti Teknologi Malaysia (UTM) in 2013. His background is in 3D maths & Computer Graphics in particular Augmented and Virtual Reality. Over 150 international publications in the area of 3D visualisation, immersive technology & human Computer Interaction. A global leader in this field invited to address the current & future advances of immersive technology in several high-ranked international events.

Invited Speakers

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Lloyd Colegrove

Texas A&M University
USA

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Lloyd F. Colegrove retired after a 29-year career at Dow, as the Director of Data Services and the Director of Fundamental Problem Solving within Manufacturing and Engineering. He was also the Analytics Platform Director for Dow's Manufacturing and Engineering's Industry 4.0 program. Lloyd's background is in Chemical Physics where he obtained a B.S. and Ph.D. from Texas A&M University. He spent 7 years in Polymer Research in Dow (R&D and TS&D) before moving into Manufacturing in an analytical measurement improvement role for plant quality assurance activities and then as a global quality leader for five Dow businesses. He then moved on to establish a new capability called Fundamental Problem Solving, where top chemists and engineers work on complex, often multi-effect, plant problems. With this established, he refocused his efforts working to establish the Data Services group that has developed and deployed novel analytics applications to improve data-based decision making in chemical operations. These efforts have been recognized with many industry awards. Lloyd consults on real-time analytics, artificial intelligence in the chemical industry, and process improvement strategies He is married with two daughters and is an avid cyclist, wilderness backpacker, and landscaper.

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Chien Ho Ko

University of Kansas
USA

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Dr. Chien-Ho Ko is a Research Professor and Director of Craig and Diane Martin National Center for Construction Safety in the Department of Civil, Environmental & Architectural Engineering at the University of Kansas, USA. He has been conferred numerous academic awards, including best paper, outstanding professor, researchawards, and teaching awards. Dr. Ko has published over 40 refereed journal papers and 70 conference papers. In addition, he has participated as Principal Investigator in over 40 research projects funded, e.g., by the National Science Council. Additionally, he is an inventor with more than 30 patents. Dr. Ko is a reviewer for more than 30 different journals, serves on the editorial boards of 20 more, and is the Editor-in-Chief of the Journal of Engineering, Project, and Production Management (Scopus and EiCompendex indexed).

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Swinney Carolyn J

University of Essex
UK

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(Video) Rodney Brooks "The Future of Innovation in Artificial Intelligence and Robotics"

Carolyn J. Swinney received a B.Eng.(hons.) degree (first class) in 2007 and a M.Sc.(dist.) in Electronics Engineering from the University of Essex, Colchester, UK in 2013. She graduated as a Communications and Electronics Engineering Officer in the Royal Air Force in 2014. She currently works within the Air and Space Warfare Centre and is working towards a Ph.D. degree in Electronic Systems Engineering at the University of Essex, Colchester, UK. Her main research interests are signal processing, autonomous vehicles, machine learning and deep learning.

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Enguerran Grandchamp

University of the French West Indies
France

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Member of the LAMIA laboratory at the University of the French West Indies since 2002, I successively worked on combinatorial optimization problems based on metaheuristics (Genetic Algorithms, taboo search, etc.), then on classification (Decision tree , SVM, etc.) and finally on Artificial Intelligence based on classic neural networks (DNN, CNN, etc.) and spiking neural network (SNN, etc.). Our Working Group is particularly interested in SNN because of their smaller size and also lower energy consumption. My current research topics concern the explainability of neural networks as well as the integration of ethics in the development of Artificial Intelligence.

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Ahmed Ragab

Natural Resources
Canada

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Dr. Ahmed Ragab is an AI research scientist working for Natural Resources Canada. Also, he is an adjunct professor at the Department of Mathematics and Industrial Engineering, Polytechnique Montreal. He received a Ph.D. degree in Industrial Engineering from Polytechnique Montreal, Canada. His research interests include AI, Data & Decision Fusion, Image Processing, Causality Analysis, Discrete Event Systems, and Process Mining. His main activities focus on the practical challenges of Big Data and AI in a number of applications including Fault Diagnosis & Prognosis, Supervisory Control, and Systems Design, aiming at reducing energy consumption, Greenhouse gas (GHG) emissions in industrial processes.

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Xiaohui Zou

Sino US Searle Research Center
China

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Dr. Xiaohui.Zou,Director of Sino-US Searle Research Center.1997-2000 PostgraduateDiploma in International Law, Jilin University,2007-2008 DomesticVisiting Scholarof Peking University,2009-2015 China University of Geosciences (Beijing) Instituteof Higher Education, Graduate Supervisor and, Part-time Researcher,2010-2012Visitat the University of California, Berkeley(Invited to Harvard University for exchange),2011-2018 Doctoral supervisor and chief researcher of Sino-US Searle Research Center,2017-2019 Peking University Interdisciplinary Forum Host,2020-2022Tsinghua University Rain Classroom Smart System Studied Series Courses Teaching.

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Guanglei Wu

Dalian University of Technology
China

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Guanglei Wu, Associate ProfessorDr. Guanglei Wu received his PhD in robotics from Aalborg University, Denmark, 2013, and worked as an industrial Postdoc fellow in Aalborg University from 2014 to 2016. He was a visiting scholar in the Research Institute in Communications and Cybernetics of Nantes (currently reorganized as Laboratory of Digital Sciences of Nantes-LS2N) in June-July 2012, in McGill University in Aug. 2015, and in Aarhus University in 2020. Currently, he is an associate professor in School of Mechanical Engineering, Dalian University of Technology (DUT). His research interests include robotic technology, conceptual design and performance evaluation of robots, robot dynamics and control, industrial robots and their applications. He has published one monography by Springer, 9 patents, and over 80 peer-reviewed articles in international journals and conferences. He was the awardee of DUT Xinhai 1000 Youth Talent program, IFToMM Asian MMS & CCMMS 2016, Dept. Sci. Tech. Liaoning province, Longcheng Talent program by Changzhou Municipality. He is the referee for over 50 international journals and conferences in the fields of mechanisms and robots.

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Yousef Farhaoui

Moulay Ismail University
Morocco

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Prof. Dr. Yousef FARHAOUI, is Professor at Moulay Ismail University, Faculty of sciences and Techniques, Morocco. Chair of IDMS Team, Director of STI laboratory. Local Publishing and Research Coordinator, Cambridge International Academics in United Kingdom. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. His research interests include learning, e-learning, computer security, big data analytics, and business intelligence. Farhaoui has three books in computer science. He is a coordinator and member of the organizing committee and also a member of the scientific committee of several international congresses, and is a member of various international associations. He has authored 6 Book and many Book Chapters with Reputed Publishers such as Springer and IGI. He is served as a Reviewer for IEEE, IET, Springer, Inderscience and Elsevier Journals. He is also the Guest Editor of many Journals with Wiley, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in Several Conferences. He is Senior Member of IEEE, IET, ACM and EAI Research Group.

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Luy Nguyen

University of Ho Chi Minh City
Vietnam

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Luy Nguyen Tan currently is an associate professor in automation and control engineering at the Faculty of ElectronicsTechnology, Industrial University of Ho Chi Minh City, Vietnam. He received B.S. and M.Sc.degrees in computer science and automation and control engineering and a Ph.D. degree in automation from the Ho Chi Minh City University of Technology, Vietnam, in 1996,2006, and 2015, respectively. His current research interests include adaptive dynamic programming, distributed control, large-scale systems, and robotic applications. He has published papers in reputational journals and served as a Reviewer for many journals, including IEEE transactions on neural network and learning systems, IEEE transactions on industrial electronics, IEEE transactions on cybernetics, IEEE transactions on system man, and cybernetics, IEEE transactions on industrial informatics.

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K P Sanal Kumar

R V Government College
India

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(Video) Geospatial Workshop 15 March 2022

Dr. K. P. Sanal Kumar received the M.C.A., degree fromM.S.University,Tirunelveli, India in 2000. He received the M.Tech degree in Computer Science and Engineering from Bharath University, Chennai, India in the year 2005. He received the M.Phil degree in Computer Science from M.S University, Tirunelveli, India in the year 2008. He received his Ph.D in Computer Science and Engineering from Annamalai University, Chidambaram, India in 2019. He has been with Annamalai University, Since 2008. Currently he is working as Assistant Professor in the P.G. Department of Computer science at R.V. Government College, Chengalpattu, Tamilnadu, India (on Deputation). He has published 40 papers in international journals and conferences. He has authored 5 Text books including IOT Security, Block Chain Technology, Artificial Intelligence inspired with ML and Data Science, Fundamentals and advanced Guide to ML and Complex Network and Role or Impact of Artificial Intelligence in sustainable smart cities and Urban mobilities. He is a life member of CSI, ISTE, IAENG, IISTEM and Professional Member of IFERP. He is serving as a member of Editorial and Reviewer Boards in many National and International Journals including Elsevier, Springer etc. His research interest includes Image Processing, Soft Computing, Data Mining, Pattern Recognition, Machine Learning, Deep Learning and Wearable Computing etc.

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Ibrahim Cil

Sakarya University
Turkey

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Ibrahim Cil is a Professor in Industrial Engineering at the Sakarya University, Turkey. Prof. Dr. Ibrahim Cilreceived his MSc degree in Industrial Engineering fromYildiz Technical University, and his PhD in Industrial Engineering from Istanbul Technical University, Istanbul, Turkey.His research interests include artificial intelligence, data analytics, business intelligence,data mining, process mining, decision support systems, multi criteria decision making,lean manufacturing and facility planning and layout.He is a member of the organizing committee and also a member of the scientific committee of several international congresses, and is a member of various international associations.He has been the invited speaker, the session chair, and panelist in several conferences.He has published numerous articles in Artificial Intelligence Review, Decision Support Systems, Expert Systems with Applications, Robotics and Computer Integrated Manufacturing, Int J of Computer Integrated Manufacturing, Int J Adv Manufacturing Technology, The Engineering Economist, and others. He managed many projects on Lean Transformation and Industry 4.0 transition in different sectors. He is married, has two sons, is a tennis player, and enjoys hiking in the wild.

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Hiroyuki Kameda

Tokyo University of Technology
Japan

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(1)Education:Dr. of Engineering (Ph. D) in University of Tokyo, 1987(2)Career:I have been working at the Tokyo University of Technology.Dean of the Graduate School of Bionics, Computer and Media Sciences (April 2017-March 2019), Dean of the School of Computer Science (April 2013-March 2017),Advisor to President (International Affairs) (April 2009-March 2012), and Professor of the School of Computer Science (April 2007-Present).(3)Research Activities:The core of my research field is Thought and Language.I have been mainly studying various topics in the research field of Thought and Language from the interdisciplinary viewpoint of Computer science, applied informatics, applied linguistics, cognitive science, medical science, health care science, the science of education and etc. for about 30 years.I developed a communication robot PDDIN with an artificial mind to express itself and also guessother's states of mind.I have been also engaged in the studies of acquiring new knowledge, especially, unknown words and unknown syntactic rules by machine learning methodology, e.g., Inductive Logic Programming.At the same time, I have been interested in the education of software engineering, e.g., creating advanced teaching materials and proposing various kinds of teaching methods mainly for software education for novice students, i.e., those in the first year of university. And recently, I have just started to study metaverse, where people learn a foreign language or share things to realize some SDGs.

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Wen-Cheng Lai

National Yunlin University of Science and Technology
Taiwan

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Dr. Wen-Cheng Lai has been working in the field of radio-frequency circuits, analog IC integrated design, microwave antenna, computer and communication, and artificial intelligence for more than 25 years. He has authored/ co-authored more than 250 SCI-indexed journals and IEEE conference/ EI papers. He edited more than 20 SCI-indexed journals. He received his Ph.D. degree from the National Taiwan University of Science and Technology, Taiwan. He is a professor at the National Yunlin University of Science and Technology, Taiwan.

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Tugbagul Altan

Fatih Sultan Mehmet University
Turkey

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Dr. Altan has beena full professor at Fatih Sultan Mehmet vakif University. She received B.Sc. from the computer science department at Istanbul Technical University and a Ph.D. from the computer engineering department of Gebze Technical University. Then she studied machine learning and human-computer interaction and human-robot interaction. She is the founder of Psikojenez Advanced Software and Computer System Start-up company (She won government support).Her research interests mainly include education materials, mobile applications based on augmented reality for kindergarten, children with mental disorders, and autism spectrum disorders. She designs computer interfaces with artificial intelligence and machine learning algorithms for user interfaces.She is a member of many academic associations and she continues her studies with teams from many countries.

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Fadhil Mukhlif

Universiti Teknologi Malaysia
Malaysia

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Fadhil Mukhlif Completed his B.Sc. in Electrical Engineering from University of Tikrit, Iraq in 2010, M.Eng. in Telecommunication Systems from University Technical Malaysia Melaka (UTeM), Malaysia in 2013 and PhD in Computer Networks & Wireless from Faculty of Engineering, University of Malaya (UM), Malaysia in 2020. He is currently a Postdoctoral Research Fellow in the School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia. His research interest mainly includes Computer Networks, AI, Machine & Deep Learning, Telecommunication Networks, UAV, IoT, WSN, Game Theory, Cloud Networks.

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Cao Xinwei

Jiangnan University
China

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Dr. X. Cao obtained her Ph.D. from the School of Management, Fudan University, China. She is now a full professor at the School of Business, Jiangnan University, China. Her research interests include management of robotic systems, portfolio optimization, computational finance, artificial intelligence, and fraud detection. She has published over 30 peer-reviewed papers in premier journals.

(Video) ai.bythebay.io: Stuart Russell, The Future of (Artificial) Intelligence

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Gadissa Olani

Dire Dawa University
Ethiopia

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Dr. Gaddisa Olani received a B.Sc. degree in Computer Science and IT from Wollega University, Ethiopia in 2010, an M.Sc. degree in Computer Science from Addis Aba University, Addis Ababa, Ethiopia in 2013, and a Ph.D. degree in Social Network Analysis and Human-Centered Computing (focus on Artificial Intelligence and It's an application) from the National Tsing Hua University (in collaboration with Academia Sinica), Taiwan in 2020. Currently, he is an Assistant Professor of Computer Science and the dean of the School of Computing at Dire Dawa University in Ethiopia. Dr. Gaddisa has diversified research expertise. His research interests include Natural Language Processing, Computer Vision, Data Science, Cyber Security, and Storage Optimization. He has been very active in professional activities. Dr. Gaddisa serves as the Editor-in-Chief of the Harla Journal of Engineering and Technology and serves as a reviewer in other journals.

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Ahmed M Ibrahim

Norwegian University of Science and Technology
Norway

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Ahmed M. Ibrahim is a researcher and a professional architectural engineer with work experience in mega governmental and private projects in the Kingdom of Saudi Arabia. His core competency is in construction costs management (estimation and cost control) delivering prestigious projects, and working with "class A" construction contracting and consulting companies in Saudi Arabia. He holds B.Sc. and M.Sc. in Architectural Engineering from King Fahd University of Petroleum and Minerals, Dhahran - Saudi Arabia. His research domains of interest are not limited to but mainly focused on architectural engineering, smart cities, facilities management, properties management, and corporate real estate.

ROBOTFORUM-2023 | March 13-15, 2023 | Artificial Intelligence and Robotics World Forum| International Forum on Artificial Intelligence and Robotics (28)

Farah Jemili

University of Sousse
Tunisia

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Farah JEMILI had an Engineer degree in Computer Science in 2002 and a Ph.D. degree in 2010. She is currently an Assistant Professor at the Higher Institute of Computer Science and Telecom of Hammam Sousse (ISITCOM), University of Sousse, Tunisia. She is a senior Researcher at MARS Laboratory(ISITCOM -Tunisia). Her research interests include Artificial Intelligence, Cyber Security, Big Data Analysis, Cloud Computing, and Distributed Systems. She served as a reviewer for many international conferences and journals. She has many publications; 6book chapters, 6 journal publications, and more than 20 conference papers.

  • Robotics and Automation
  • Artificial Intelligence in Robotics
  • Sensing and Understanding the World of Robots
  • Robotic Aspects and their Applications
  • Design, Manufacturing and Controlling of robots
  • The Grand Challenges of Robotic science
  • Impact of Artificial Intelligence on Society and Everyday Life
  • Bio-Inspired Robotics
  • Neural Networks in Robotics
  • Military & Security Robots
  • Cognitive Science
  • Machine Learning
  • Image Recognition
  • Natural Language Processing
  • Neural Networks
  • AI Algorithm
  • Cluster
  • Chatbots
  • AI Deep Learning
  • Semantic Analysis
  • Data Intelligence
  • Complex Networks
  • Neuroinformatics
  • Fuzzy Optimization and Decision Making
  • Mathematics and Artificial Intelligence
  • Data Science, Analytics and Engineering
  • Artificial Intelligence and Society
  • Artificial Intelligence in Education
  • Computational Intelligence
  • Neural Computing and Applications
  • Statistics and Computing
  • Machine Learning Research and Cybernetics

Day 1

Time Session
08:30 - 09:00Registrations
09:00 - 09:30Opening Words
09:30 - 10:45Plenary Presentations
10:45 - 11:00Group Photography followed by Snacks Break
11:00 - 13:00Plenary Presentations
13:00 - 14:00Lunch Break
14:00 - 15:50Invited Presentations
15:50 - 16:05Evening Break and Networking
16:05 - 17:30Invited Presentations

Day 2

Time Session
09:00 - 09:30On-Spot Registrations
09:30 - 10:55Plenary Presentations
10:55 - 11:10Tea/Coffee & Snacks Break
11:10 - 12:50Keynote Presentations
12:50 - 13:50Lunch Break
13:50 - 14:50Hands on Workshop
14:50 - 16:00Speaker Presentations
16:00 - 16:15Evening Break and Networking
16:15 - 17:30Speaker Presentations

Day 3

Time Session
09:00 - 09:30On-Spot Registrations
09:30 - 10:55Speaker Presentations
10:55 - 11:10Tea/Coffee & Snacks Break
11:10 - 12:50Speaker Presentations
12:50 - 13:50Lunch Break
13:50 - 16:15 Poster Presentations
16:15 - 16:45Presenations & Awards
16:45 - 17:00Closing Cermony

Las Vegas, USA

Las Vegas, often known simply as Vegas, is the 26th-most populous city in the United States, the most populous city in the state of Nevada, and the county seat of Clark County. The city anchors the Las Vegas Valley metropolitan area and is the largest city within the greater Mojave Desert. Las Vegas is an internationally renowned major resort city, known primarily for its gambling, shopping, fine dining, entertainment, and nightlife. The Las Vegas Valley as a whole serves as the leading financial, commercial, and cultural center for Nevada.

The city bills itself as The Entertainment Capital of the World, and is famous for its mega casino-hotels and associated activities. It is a top three destination in the United States for business conventions and a global leader in the hospitality industry, claiming more AAA Five Diamond hotels than any other city in the world. Today, Las Vegas annually ranks as one of the world's most visited tourist destinations. The city's tolerance for numerous forms of adult entertainment earned it the title of "Sin City", and has made Las Vegas a popular setting for literature, films, television programs, and music videos. The major attractions in Las Vegas are the casinos and the hotels, although in recent years other new attractions have begun to emerge.

Speaker Registration
$ 749
  • Access to all Conference Sessions
  • Opportunity to give a Keynote/ Plenary/ Workshop
  • Participation Certificate Accredited by our Organizing Committee Member
  • Tea/Coffee & Snack, Lunch during the Conference
Delegate Registration
(No Presentation)
$899
  • Access to all Conference Sessions
  • Participation Certificate Accredited by our Organizing Committee Member
  • Delegates are not allowed to present their papers in Oral or Poster sessions
  • Tea/Coffee & Snack, Lunch during the Conference
Poster
$ 449
  • Access to all Conference Sessions
  • Opportunity to give an Oral/ Poster Presentation
  • Participation Certificate Accredited by our Organizing Committee Member
  • Tea/Coffee & Snack, Lunch during the Conference
Student Delegate/Listener
$ 299
  • Access to all Conference Sessions
  • Opportunity to give an Oral/ Poster Presentation
  • Participation Certificate Accredited by our Organizing Committee Member
  • Tea/Coffee & Snack, Lunch during the Conference
(Video) State of K12 AI Workshop AI Showcase Programming

FAQs

Will there be robots in 2025? ›

Increasingly smart, sophisticated and versatile robots are poised to boost our quality of life in a major way. Our report estimates that 14% of families worldwide will have a smart domestic robot in the home by 2025.

Will there be AI robots in the future? ›

Lest you think you'll escape the robot revolution, experts suggest the machines will be ubiquitous in the coming years. Findings by Pew Research Center indicate that by 2025, AI and robotics will be integrated into nearly every aspect of most people's daily lives.

What is AI WEF? ›

The World Economic Forum (WEF) has released a blueprint for the equitable and inclusive use of artificial intelligence (AI). It is aimed at public and private sector decision-makers involved in the AI ecosystem as well as managers and teams in AI development.

Why artificial intelligence will create more jobs than it destroys? ›

AI will automate many repetitive and sometimes dangerous tasks like data entry and assembly line manufacturing. The technology will also change the nature of work for many other jobs, allowing workers to focus on higher-value and higher-touch tasks that often require interpersonal interactions.

What Year Will robots come out? ›

Affordable robots are here

And last month, Elon Musk announced that the Tesla Bot humanoid robot prototype will be launched in 2022. Futurists therefore predict that fully functioning humanoid personal and professional service robots will be with us within a few years.

What will robots be like in 2050? ›

Future robots 2050 will also provide emotional support to humans; AI researcher David Levy predicted that humanoid robots would be developed by 2050 with emotions and the capability to making a relationship with humans via intelligent talks.

What exactly AI means? ›

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

What are the differences between machine learning and deep learning? ›

Machine Learning means computers learning from data using algorithms to perform a task without being explicitly programmed. Deep learning uses a complex structure of algorithms modeled on the human brain. This enables the processing of unstructured data such as documents, images, and text.

Where is the headquarters of World Economic Forum located? ›

Established in 1971 as a not-for-profit foundation, the Forum is headquartered in Geneva, Switzerland. It engages the foremost political, business, cultural and other leaders of society to shape global, regional and industry agendas. This is how we got here.

Will AI take away jobs? ›

AI is and will continue to replace some jobs. Workers in industries ranging from healthcare to agriculture and industrial sectors can all expect to see disruptions in hiring due to AI. But demand for workers, especially in robotics and software engineering, are expected to rise thanks to AI.

What jobs will be replaced by AI? ›

Based on the nature and type of these jobs, here is a rundown of the jobs that AI machines are most likely to perform in the future:
  • Customer service executives. ...
  • Bookkeeping and data entry. ...
  • Receptionists. ...
  • Proofreading. ...
  • Manufacturing and pharmaceutical work. ...
  • Retail services. ...
  • Courier services. ...
  • Doctors.
5 Oct 2021

Is AI replacing humans? ›

Robots and artificial intelligence (AI) are expected to permeate our daily lives by 2025. This could have huge implications on several business sectors, most notably healthcare, customer service and logistics.

Is the future of robotics a threat to the humanity? ›

Robots will increase economic growth and productivity and create new career opportunities for many people worldwide. However, there are still warnings out there about massive job losses, forecasting losses of 20 million manufacturing jobs by 2030, or how 30% of all jobs could be automated by 2030.

How intelligent will artificial intelligence become by 2030 Any guess? ›

By 2030, AI will likely no longer be getting adopted with simple scenarios and applications. It will be expected to detect life-threatening diseases in the nascent stage, predict weather conditions of a large area over several months and become a digital collaborator to the human race.

What is the price of a human robot? ›

Human Robot at Rs 50000 | Robot in Kolkata | ID: 20711176691.

Can a human become a robot? ›

To date, we have not been able to completely replicate all features of a human being in a robotic form. Walking, for example, has proved to be a very difficult human feature to replicate.

How much does it cost to buy a robot? ›

New robots equipped with controllers and teach pendants are usually priced in the range between $50,000 - $80,000. A popular 6-axis model sells for about $60,000, but the customer must keep in mind that the actual robot is only a fraction of the cost for the complete system.

What will artificial intelligence be like in 20 years? ›

Rethinking the ways we work

In twenty years, nearly all data will become digitized, making it possible to use AI for decision-making and optimization. AI and automation will replace most blue-collar work and “make” products for minimal marginal cost.

What will artificial intelligence be like in 50 years from now? ›

The future of AI in fifty years…

For AI to really become 'intelligent' it must acquire general intelligence – not the siloed, specific task-based intelligence it has now. To achieve general intelligence AI needs to have a human-like understanding and comprehension of multiple things.

Can AI take over the world? ›

No, AI will not take over the world. Movies like I, Robot are science fiction, with an emphasis on the word fiction. All that said, AI is a powerful business tool that is supporting companies and their customer service strategies. It's creating a better customer experience.

Is Siri an AI? ›

Siri is Apple's personal assistant for iOS, macOS, tvOS and watchOS devices that uses voice recognition and is powered by artificial intelligence (AI).

What are the 4 types of AI? ›

According to the current system of classification, there are four primary AI types: reactive, limited memory, theory of mind, and self-aware.

Is AI difficult to learn? ›

Learning AI is not an easy task, especially if you're not a programmer, but it's imperative to learn at least some AI. It can be done by all. Courses range from basic understanding to full-blown master's degrees in it.

What should I learn first AI or ML? ›

So, should I learn machine learning or artificial intelligence first? If you're looking to get into fields such as natural language processing, computer vision or AI-related robotics then it would be best for you to learn AI first.

Is deep learning easier than machine learning? ›

Machine learning models are easy to build but require more human interaction to make better predictions. Deep learning models are difficult to build as they use complex multilayered neural networks but they have the capability to learn by themselves. Feature engineering is done explicitly by humans.

What will our diets look like in 2030? ›

Our diets in the next decade may include more fruit and vegetables, whole grains and vegetarian food and alternatives such as artificial meat, soy products and even insects. We will still eat meat, he wrote, “but perhaps more like our parents and grandparents, see it as a treat to savour every few days”.

What are the benefits of the world economic Forum? ›

For more than 50 years, the Forum has engaged global Partners to drive significant impact – creating historic initiatives, industry breakthroughs, economic solutions and tens of thousands of projects and collaborations – improving the state of the world.

What does the world Forum do on Earth Day? ›

The World Economic Forum's Climate Initiative supports the scaling and acceleration of global climate action through public and private-sector collaboration. The Initiative works across several workstreams to develop and implement inclusive and ambitious solutions.

What jobs will never be replaced by technology? ›

That said, let's take a look at the seven jobs that won't be automated.
  • Teachers and Educators. The first job or career path landing on our list is teaching and educating. ...
  • Programmers and Systems Analysts. ...
  • Healthcare Workers and Carers. ...
  • Social Workers. ...
  • Lawyers. ...
  • Project Managers. ...
  • Designers and Artists.
24 Feb 2021

What jobs Will AI never replace? ›

Psychologists, caregivers, most engineers, human resource managers, marketing strategists, and lawyers are some roles that cannot be replaced by AI anytime in the near future”.

How do you stop AI from taking over? ›

The best and most direct way to control AI is to ensure that its values are our values. By building human values into AI, we ensure that everything an AI does meets with our approval. But this is not simple.

Which jobs will disappear by 2030? ›

5 jobs that will disappear by 2030
  • Travel agent. It amazes me that a travel agent is still a job in 2020. ...
  • Taxi drivers. ...
  • Store cashiers. ...
  • Fast food cooks. ...
  • Administrative legal jobs.
30 May 2022

What will be the most in demand jobs in 2030? ›

15 Jobs You'll Be Recruiting for in 2030
  • Organ creator. ...
  • Augmented-reality journey builder. ...
  • Metaverse planner. ...
  • Biofilm installer. ...
  • Earthquake forecaster. ...
  • Makeshift structure engineer. ...
  • Algorithm bias auditor. ...
  • Rewilder.

Which AI jobs are safe? ›

The list is based on my 38 years of work in AI research, products, business, and investment.
  • Psychiatry. ...
  • Therapy. ...
  • Medical care. ...
  • AI-related research and engineering. ...
  • Fiction writing. ...
  • Teaching. ...
  • Criminal defense law. ...
  • Computer science and engineering.

Will man be ever replaced by machines? ›

Artificial Intelligence assists people with repetitive and time-consuming jobs. Artificial intelligence or AI performs various everyday tasks with expertise and almost all repetitive tasks can be automated by using AI. But, can AI actually replace humans? The answer is simply, NO!

Can we live without AI? ›

Without AI, we would have to waste hours surfing the internet for a good movie. AI is also enabling real-time streaming for us. It is helping the entertainment industry to customize and transmit content in real-time. According to research, by 2022 live streaming videos will hold 82% of all traffic on the internet.

Can computers replace human minds? ›

AI has been widely used in each aspect of human life, even surpassing human intelligence in some areas. AI can, to some extent, replace humans to complete the tasks of recognition, decision-making, and control. In terms of recognition, AI can distinguish, classify, and retrieve information.

How Much Will robots cost in the future? ›

How Much Do New Robots Cost? Complete with controllers and teach pendants, new industrial robotics cost from $50,000 to $80,000. Once application-specific peripherals are added, the robot system costs anywhere from $100,000 to $150,000.

How close are AI robots? ›

However, given how fast technology advances, we may only be a few decades. Experts expect and predict the first rough artificial general intelligence to be created by around 2030, not too far off. However, experts expect that it won't be until 2060 until AGI has gotten good enough to pass a "consciousness test".

What percentage of human tasks will be replaced by machine learning by year 2025? ›

According to a report by the World Economic Forum, 50% of tasks in the workplace will be automated by machine by 2025 compared to 29% as of now.

What is the future of AI and robotics? ›

In the future AI powered robots will be able to perform complex and dangerous operations. Although this technology may seem extremely fictitious, AI robots are set to change humanity. Robots of the future will have the capacity to take over risky jobs like handling radioactive substances or disabling bombs.

How much does a robotic arm cost for humans? ›

Typically, an industrial robotic arm will cost anywhere between $25,000 and $400,000.

What is the price of a human robot? ›

Human Robot at Rs 50000 | Robot in Kolkata | ID: 20711176691.

How much does an AI robot cost? ›

In comparison, custom AI solutions cost anywhere from $6000 to over $300,000.
...
*AI services are only available to current clients.*
AI TypeCost
Custom AI solution$6000 to $300,000 / solution
Third-party AI software$0 to $40,000 / year

Can AI outsmart humans? ›

The AI can outsmart humans, finding solutions that fulfill a brief but in ways that misalign with the creator's intent. On a simulator, that doesn't matter. But in the real world, the outcomes could be a lot more insidious.

Can a human be turned into a robot? ›

To date, we have not been able to completely replicate all features of a human being in a robotic form. Walking, for example, has proved to be a very difficult human feature to replicate.

How far away is true AI? ›

In all cases, majority of participants expected AI singularity before 2060. Source: Survey distributed to attendees of the Artificial General Intelligence 2009 (AGI-09) conference In 2009, 21 AI experts participating in AGI-09 conference were surveyed. Experts believe AGI will occur around 2050, and plausibly sooner.

What jobs can AI replace? ›

7. 12 jobs that robots will replace in the future
  • Customer service executives. Customer service executives don't require a high level of social or emotional intelligence to perform. ...
  • Bookkeeping and data entry. ...
  • Receptionists. ...
  • Proofreading. ...
  • Manufacturing and pharmaceutical work. ...
  • Retail services. ...
  • Courier services. ...
  • Doctors.
5 Oct 2021

Will automation reduce jobs? ›

In the long run, automation will replace jobs that are highly repetitive and require little skill. For example, most of the jobs that have a lower risk of being replaced by automation include: Jobs with high levels of creativity and autonomy. Jobs that require a lot of social interaction.

Why computers Cannot replace humans? ›

AI-based machines don't have emotional intellect.

Businesses can not replace all their customer service with AI. People want to have personal interactions as robots are not able to show empathy and feelings to customers. Thus, without personal interaction businesses can end up losing customers.

What are the negative effects of artificial intelligence? ›

Here are some key ones:
  • AI Bias. Since AI algorithms are built by humans, they can have built-in bias by those who either intentionally or inadvertently introduce them into the algorithm. ...
  • Loss of Certain Jobs. ...
  • A shift in Human Experience. ...
  • Global Regulations. ...
  • Accelerated Hacking. ...
  • AI Terrorism.

Do robots have feelings? ›

Abstract. Astoundingly, recent technological advancements have enabled robots to display emotions. Yet, while emotional expression is valued in the field of service, understanding emotions in human-robot interaction remains underexplored.

Is the future of robotics a threat to the humanity? ›

Robots will increase economic growth and productivity and create new career opportunities for many people worldwide. However, there are still warnings out there about massive job losses, forecasting losses of 20 million manufacturing jobs by 2030, or how 30% of all jobs could be automated by 2030.

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