Limitations Of Artificial Intelligence

Artificial Intelligence is a groundbreaking technology that is now an established field. It is being used to mimic human capabilities such as speaking, listening, learning, and planning by using different algorithms to process data and produce results depending on the information provided by the user. Artificial Intelligence has been used in several industries when it comes to data processing and decision making. Artificial Intelligence has been invented to help decision and solutionmaking processes using a problem-solving approach. The development of Artificial Intelligence software provides efficiency and acceleration on different kinds of workflows, which will help organizations increase their profit and reduce wastage and costs due to poor productivity. There are already many applications that Artificial Intelligence powers; some of these are Web Search, Cybersecurity, and Machine Translations. All people are now having the benefit of using Artificial Intelligence, and it is beneficial for humanity. Artificial Intelligence has many positive aspects as it produces substantial results in people\u27s daily lives and businesses today; some of the most common Artificial Intelligence technologies used by the industry are robots and Virtual Assistants. Artificial Intelligence are powered by Natural Language Processing (NLP) and Speech Recognition Platform (SRP), but it is not limited to these two (2); many factors need to be considered, but these branches help in interpretation and manipulation of the commands stipulated. Indeed, Artificial Intelligence is rapidly advancing, and many organizations are willing to try and test out what is available in the market. However, others are not convinced with the Artificial Intelligence as there are alleged ethical issues that might cause accountability in a particular manner. This thesis will explain how Artificial Intelligence is used in different fields like Law, Medicine, the Military, and others while discussing the limitations present

Where is the intelligence in computational intelligence?

Intelligence is a controversial term to define in a universally acceptable way. However, the term is very frequently used in various fields of computer science like web intelligence, machine intelligence, artificial intelligence and overall in the computational intelligence. Some sort of intelligence has already been introduced to different advanced technologies. The future advancement of the intelligent technologies requires a clear definition of intelligence to work with. This paper tries to find out the answer of the crucial question, where and in which cases intelligence might exist in case of intelligent technologies and in the field of computational intelligence in general

APLIKASI PENCATATAN NILAI KEAKTIFAN INDIVIDU DI LABORATORIUM ARTIFICIAL INTELLIGENT INSTITUT TEKNOLOGI TELKOM

ABSTRAKSI: Laboratorium Artificial Intelligence (AI) merupakan bagian dari kelompok Laboratorium Teori Informatika dan Pemrograman yang ada pada Jurusan Teknik Informatika di Institut Teknologi Telkom yang menangani riset tentang kecerdasan buatan. Untuk dapat mengikuti kegiatan Laboratorium Artificial Intelligent, mahasiswa dapat bergabung dalam Study Group di Laboratorium Artificial Intelligent. Pada Laboratorium Artificial Intelligent terdapat 3 tingkatan anggota yaitu Study Group, Asisten Riset, dan Asisten Laboratorium. Untuk dapat menjadi anggota Laboratorium Artificial Intelligent, mahasiswa perlu melalui suatu proses rekruitasi. Oleh karena itu pada Proyek Akhir yang berjudul ”Aplikasi Pencatatan nilai Keaktifan Individu di Laboratorium Artificial Intelligent Institut Teknologi Telkom” ini dibangun suatu aplikasi yang dapat digunakan untuk mencatat nilai pada proses rekruitasi, presensi, mencatat nilai individu, serta untuk rekap penilaian di Laboratorium Artificial Intelligent Institut Teknologi Telkom. Selain itu, aplikasi ini juga dapat digunakan untuk memasukkan jadwal Study Group. Aplikasi ini dibangun menggunakan PHP sebagai scripting untuk aplikasi web, dan MySQL sebagai databasenya. Selain itu, sebagai editor penulisan program dalam pembangunan aplikasi digunakan Adobe Dreamweaver CS3.Kata Kunci : Artificial Intelligent, penilaian, presensi.ABSTRACT: Artificiall Intelligence Laboratory is a part of the group of Informatics and Programming Theories Laboratories at Departement of Informatics Engineering. Telkom Institute of Technology concerning researches about artificial intelligence. In order to attend Artificiall Intelligence Laboratory’s activities, students may join the Study Group of the laboratory. Artificiall Intelligence Laboratory has three degrees of members : Study Group, Research Assistants, and Laboratory Assistants. To be a member, a student needs to pass a recruitment process. Thus, an application is built in this final project titled “Software Application For Recording Individual Activeness Score At Artificial Intelligence Laboratory Telkom Institut Of Technology” for recording score in the recruitment process, taking attendance of members, recording individual activeness score, and for score recapitulation at Artificiall Intelligence Laboratory Telkom Institut Of Technology. Moreover, this application can also be used for Study Group scheduling. This application is built using PHP for the web application scripting, and MySQL for the database. Adobe Dreamweaver CS3 is chosen as the editor in writing the program code.Keyword: Artificial Intelligence, scoring, attendance

AI, Robotics, and the Future of Jobs

This report is the latest in a sustained effort throughout 2014 by the Pew Research Center's Internet Project to mark the 25th anniversary of the creation of the World Wide Web by Sir Tim Berners-Lee (The Web at 25).The report covers experts' views about advances in artificial intelligence (AI) and robotics, and their impact on jobs and employment

AI in Retail Industry: Reshaping Shopping Experience and Business Profitability

Abstract Artificial Intelligence (AI) is depicted as the actions of machines doing tasks that usually require human intelligence. Though this idea of Artificial Intelligence can be traced back to Greek mythology, it was only during modern history, the world witnessed the development of programme-driven computer machines. Now it has become a web of millions of codes and algorithms and is increasingly playing an integral role in every industry sector. E-commerce Industry had once disrupted the age-old traditional retail industry, especially in India where the retailers now largely depend on these platforms for their product’s sale. Today it's coming in the form of Artificial Intelligence which will be a great advantage for the retail industry. To be competitive today, retailers need to respond to their customers like never before, at the same time reducing the amount of waste and inefficiency in their operations. They can get there with data, but it takes intelligent analysis to make sense of the vast amount of data. This article analyses the emerging trends and practices of using Artificial Intelligence in retail industry in order to enhance customer experiences and result in value additions to retail businesses. Keywords: Artificial Intelligence, Retail Business, Digital Retailing, Smart Retailin

Intelligent Agricultural Machinery Using Deep Learning

Artificial intelligence, deep learning, big data, self-driving cars, these are words that have become familiar to most people and have captured the imagination of the public and have brought hopes as well as fears. We have been told that artificial intelligence will be a major part of our lives, and almost all of us witness this when decisions made by algorithms show us commercial advertisements that specifically target our interests while using the web. In this paper, the conversation around artificial intelligence focuses on a particular application, agricultural machinery, but offers enough content so that the reader can have a very good idea on how to consider this technology for not only other agricultural applications such as sorting and grading produce, but also other areas in which this technology can be a part of a system that includes sensors, hardware and software that can make accurate decisions. Narrowing the application and also focusing on one specific artificial intelligence approach, that of deep learning, allow us to illustrate from start to end the steps that are usually considered and elaborate on recent developments on artificial intelligence

Temporal Data Modeling and Reasoning for Information Systems

Temporal knowledge representation and reasoning is a major research field in Artificial Intelligence, in Database Systems, and in Web and Semantic Web research. The ability to model and process time and calendar data is essential for many applications like appointment scheduling, planning, Web services, temporal and active database systems, adaptive Web applications, and mobile computing applications. This article aims at three complementary goals. First, to provide with a general background in temporal data modeling and reasoning approaches. Second, to serve as an orientation guide for further specific reading. Third, to point to new application fields and research perspectives on temporal knowledge representation and reasoning in the Web and Semantic Web