scholarly journals Digital Employee using Capabilities of Artificial Intelligence to Human Intelligence

Author(s):  
Shubham Jain ◽  
Yash Sharma ◽  
Nishi Sharma

Using the concept of Artificial Intelligence, a virtual assistant named "Gabriel" has been Developed to aid in education, market, business and many other fields.[4] The uniqueness of this bot is that it is programmed in python and is stored in raspberry pi providing the user friendly environment by moving along with user. It uses numerous python Libraries to help perform various functions that enable the Assistant to assist its user in day to Day activities. The Assistant can convert text to speech and vice versa using pyttsx3 and speech Recognition libraries respectively. Also, it can scrape the information from Wikipedia and visit any Website. It can be used to surf YouTube and visit any YouTube channel. The Assistant Comes with games such as flappy bird, tic-tac-toe and snake developed by the programmer. Also, the Assistant has an in-built calculator that too developed by the programmer. This Research is to develop an assistant who is highly compatible with human life. This employee comes with a self-made library called ‘the_gmail_sender’ that sends Gmail taking Voice input from the user

Author(s):  
Shubham Jain ◽  
Shreya Joshi ◽  
Ruchi Parashar

This research paper gives a comprehensive view of a virtual assistant named “Alpha” which is developed using the concept of Artificial intelligence, to aid in education, market, business and many other fields.This bot is programmed in python and is stored in raspberry pi, providing it a user friendly environment by making the bot move along with the user. A virtual assistant is an application that takes voice input, processes it and then gives output according to the input. Alpha is a real time, interactive bot and it is built on the latest technologies. It uses numerous python Libraries to help perform various functions that enable the Assistant to assist its user in day to day activities. The Assistant can convert text to speech and vice versa using gTTS and speech Recognition libraries respectively. It is a multilingual digital employee that speaks, listens and comprehends over 26 languages. It has other interesting features of face recognition and registration, smog sensing and alcohol sensing. It is also capable of making payments using the QR scanner feature added to it.


Author(s):  
Joel O. Afolayan ◽  
Roseline O. Ogundokun ◽  
Abiola G. Afolabi ◽  
Adekanmi A. Adegun

Artificial intelligence (AI) is a broad and complex area of study, which can be difficult for non-specialists to understand. Yet, its ultimate promise is to create computer systems that manifest human intelligence. This chapter coins “Machinzation” for the application of literary machine (computer) to human operations. This clearly has major implications for library and information science profession. In principle and practice, AI has penetrated virtually all walks of human life. Many authors have previously provided in-depth overviews of AI technologies. Service is the vocal point of librarianship and particularly in the era where information is the fifth and most important factor of production. Cloud computing stems from the principle of AI while when applied into the operations and routines in libraries and information center gives a brand new concept “CloudLibrarianship.” The new concept is dealt with in this work. Emergence of this concept opens up the entrepreneur opportunities in the information sector of the economy-inforpreneurship. This chapter therefore examines certain key aspects of AI that determine its potential utility as a tool for enhancing and supporting library operations.


Artificial Intelligence and Machine Learning are driving IT industry to new landscape. This system “The TalkBot” overcomes this problem and provides farmers the better opportunity to obtain the desired information and to scale up with upcoming market trends and technologies in a user friendly manner. TalkBot is actually a chatbot, which is a virtual conversational assistant, through which the users can communicate with the bot as if they are conversing with humans. The focus is on developing the bot in a more intellectual way, that it can even recognize not so well grammatically defined sentences, misspelled words, incomplete phrases, etc.,. This can help people to converse easily with the bot, since this system uses the Natural Language Processing technique to parse the user queries, identify the key words, match them with Knowledge Base and respond with the accurate results. To make the responses more understandable, the responses are generated using classification algorithms and produce non textual responses so that it can be easily perceived by the users. Bot also has an ability to provide voice oriented responses using text to speech techniques..


2021 ◽  
Vol 10 (02) ◽  
pp. 01-05
Author(s):  
R. Samyuktha ◽  
B. Gayathri

While examining the historical backdrop of clinical procedure, we can understand that medical practitioner have/had created and refined instruments for complicated surgeries. Development in clinical progressions is on a standard with that saw in the sickness causing specialists and infections. Since ancient time, clinical practices were performed using obtrusive medical procedures without sedation, which resulted in high mortality and post-surgery complications. This led to the emergence of effective, safe and user friendly medical instruments and procedures with little to moderately death rate. At present obtrusive methodologies are negligibly practiced, but provides less twisted related complexities, fast organ work return, and more limited hospitalizations. The success of these methods has prompted for higher acknowledgment of picture guided surgeries. We present an Internet Of things (IOT) and Artificial Intelligence (AI) based model that includes a computer generated experience based (VR-based) User interface and some benefits and limitations. It can be done by Raspberry pi, android application and also done by Sap cloud system.


Author(s):  
Jonathan Jonathan ◽  
Yohanes Suyanto

Singing is a work of art that can not be separated from human life. It then makes a research about develop the art of singing by technology will brings a useful impact for such a wide aspect of human life. This research is trying to synthesize singing voice with TTS (text-to-speech) technology, as it capability to produce sound with certain pronunciation at certain frequency of sound. Inputs that used in the system are texts of song in TXT format that contain the information of numbered musical notation and lyrics in Indonesian. These inputs will converted to a phonetic transcription, for then synthesize of song voice can done based on the transcription. In general, the system made successfully synthesize song voices with some feature that based on the convention of numbered musical notation. Based on 30 people of respondents, the song voice synthesized has 81.71% of accuracy with 6.24% of deviation standard. The syntax of song text also reputed as a user-friendly convention with only up to 3 times re-compilation done to synthesize 8 bar of song text by each of respondents without any error.


Over the previous few centuries, technology has converted massively from being a desktop personal computer to handheld mobile phones, with lower energy consumption of raw computing power. This computability is now incorporated with other systems as well as isolated to a single device. This paradigm was first noted in cyber-physical systems with the introduction of cloud services. The evolution of Artificial Intelligence(AI) with cloud computing and the importance of this field in human life, induce us to make simple and efficient talkative assistant robot for indoor navigation. The navigation system in outdoor typically rely upon Global Positioning System (GPS) but the indoor navigation systems have to rely on different technologies, as GPS signals cannot be received indoors. Thus, several technologies have been proposed and implemented over the past decade to improve navigation in indoors. But they were costly and less effective. Therefore, we have proposed a system that assists humans to find their location in a conversational manner. The suggested system was constructed by introducing the advantages of a personal assistant device, Amazon Alexa, the cloud services of Amazon and its voice services for indoor navigation. A Raspberry Pi 3 Model B is used as the element of the hardware to provide our system with intelligent characteristics. You can trigger the speech service using the "Alexa" keyword. Using the voice command, the skill / application we created can be initiated. It operates a script on the cloud once Alexa is enabled, which runs a subroutine on the Raspberry Pi 3 in-turn to provide a path for that specific place. Once the Raspberry Pi calculation is finished, it sends the message back to Alexa. Alexa transforms the text into a voice and informs the user path.


2012 ◽  
Vol 21 (2) ◽  
pp. 60-71 ◽  
Author(s):  
Ashley Alliano ◽  
Kimberly Herriger ◽  
Anthony D. Koutsoftas ◽  
Theresa E. Bartolotta

Abstract Using the iPad tablet for Augmentative and Alternative Communication (AAC) purposes can facilitate many communicative needs, is cost-effective, and is socially acceptable. Many individuals with communication difficulties can use iPad applications (apps) to augment communication, provide an alternative form of communication, or target receptive and expressive language goals. In this paper, we will review a collection of iPad apps that can be used to address a variety of receptive and expressive communication needs. Based on recommendations from Gosnell, Costello, and Shane (2011), we describe the features of 21 apps that can serve as a reference guide for speech-language pathologists. We systematically identified 21 apps that use symbols only, symbols and text-to-speech, and text-to-speech only. We provide descriptions of the purpose of each app, along with the following feature descriptions: speech settings, representation, display, feedback features, rate enhancement, access, motor competencies, and cost. In this review, we describe these apps and how individuals with complex communication needs can use them for a variety of communication purposes and to target a variety of treatment goals. We present information in a user-friendly table format that clinicians can use as a reference guide.


2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.


2019 ◽  
Vol 24 (2) ◽  
pp. 241-258
Author(s):  
Paul Dumouchel

The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the sense and meaning of such comparisons. Comparing artificial intelligence with human intelligence could allow us to understand both forms better. This paper thus aims to compare and distinguish these two forms of intelligence, focusing on three issues: forms of embodiment, autonomy and judgment. Doing so, I argue, should enable us to have a better view of the promises and limitations of present-day artificial intelligence, along with its benefits and dangers and the place we should make for it in our culture and society.


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