scholarly journals A.I.- Smart Assistant

2021 ◽  
Vol 9 (VI) ◽  
pp. 2384-2387
Author(s):  
Nayan Srivastava
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Computer Science ◽  
Everyday Life ◽  
Way Of Life ◽  
New Approach ◽  
Artificial Intelligent ◽  
The World ◽  
Technology Intervention ◽  
Computer Based

Artificial Intelligent is widely used when it comes to everyday life. Computer science explains AI research as a study of brilliant agents. Every In almost any direction one turns to today, some computer-based information processing technology intervention, whether by a person knowingly or not. Artificial Intelligence has already changed our way of life. A device that we can see in its nature and take action increases its chances of success goals. Input to the recommendations algorithm can be a file for user database and items, and careless removal will be recommendations. User to install in the system by voice or text. This paper presents a new approach to it. All over the world, many people use the assistant. This paper introduces visual applications an assistant that helps to give humanity a chance at various domains. This paper also describes the annoyance of using visual assistant technology.

Neuroglial Behaviour in Computer Science

2006 ◽  
pp. 1-21 ◽  
Author(s):  
Ana B. Porto ◽  
Alejandro Pazos
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Computer Science ◽  
Glial Cells ◽  
Computational Models ◽  
Brain Circuits

This chapter presents a study that incorporates into the connectionist systems new elements that emulate cells of the glial system. More concretely, we have considered a determined category of glial cells known as astrocytes, which are believed to be directly implicated in the brain’s information processing. Computational models have helped to provide a better understanding of the causes and factors that are involved in the specific functioning of particular brain circuits. The present work will use these new insights to progress in the field of computing sciences and artificial intelligence. The proposed connectionist systems are called artificial neuroglial networks (ANGN).

scholarly journals In Memoriam: RAYMOND REITER June 12, 1939 – September 16, 2002

2002 ◽  
Vol 3 (1) ◽  
pp. i-ix
Author(s):  
Jack Minker
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Representation ◽  
Computer Science ◽  
Theorem Proving ◽  
Royal Society ◽  
Research Scientist ◽  
University Of Toronto ◽  
The World ◽  
In Memoriam ◽  
The University

Raymond Reiter, Professor of computer science at the University of Toronto, a Fellow of the Royal Society of Canada, and winner of the 1993 – IJCAI Outstanding Research Scientist Award, died September 16, 2002, after a year-long struggle with cancer. Reiter, known throughout the world as “Ray,” made foundational contributions to artificial intelligence, knowledge representation and databases, and theorem proving.

scholarly journals Can models of agents be transferred between different areas?

2000 ◽  
Vol 15 (2) ◽  
pp. 197-203 ◽  
Author(s):  
RUTH AYLETT ◽  
KERSTIN DAUTENHAHN ◽  
JIM DORAN ◽  
MICHAEL LUCK ◽  
SCOTT MOSS ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Multi Agent Systems ◽  
Ongoing Research ◽  
Agent Based ◽  
Agent Systems ◽  
Sustained Activity ◽  
Diverse Environment ◽  
The World ◽  
Multi Agent

One of the main reasons for the sustained activity and interest in the field of agent-based systems, apart from the obvious recognition of its value as a natural and intuitive way of understanding the world, is its reach into very many different and distinct fields of investigation. Indeed, the notions of agents and multi-agent systems are relevant to fields ranging from economics to robotics, in contributing to the foundations of the field, being influenced by ongoing research, and in providing many domains of application. While these various disciplines constitute a rich and diverse environment for agent research, the way in which they may have been linked by it is a much less considered issue. The purpose of this panel was to examine just this concern, in the relationships between different areas that have resulted from agent research. Informed by the experience of the participants in the areas of robotics, social simulation, economics, computer science and artificial intelligence, the discussion was lively and sometimes heated.

scholarly journals Uncontrolled mutation of super-intelligent machines may lead to the destruction of humanity

2021 ◽  
Author(s):  
Deep Bhattacharjee ◽  
Sanjeevan Singha Roy
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Theoretical Computer Science ◽  
Cognitive Capacity ◽  
Theoretical Computer ◽  
Intelligent Machines ◽  
Advantages And Disadvantages ◽  
The World ◽  
Technological Singularity

<p>If in future, the highly intelligent machines control the world, then what would be its advantages and disadvantages? Will, those artificial intelligence powered superintelligent machines become an anathema for humanity or will they ease out the human works by guiding humans in complicated tasks, thereby extending a helping hand to the human works making them comfortable. Recent studies in theoretical computer science especially artificial intelligence predicted something called ‘technological singularity’ or the ‘intelligent explosion’ and if this happens then there can be a further stage as transfused machinery intelligence and actual intelligence where the machines being immensely powerful with a cognitive capacity more than that of humans for solving ‘immensely complicated tasks’ can takeover the humans and even the machines by more intelligent machines of superhuman intelligence. Therefore, it is troublesome and worry-full to think that ‘if in case the machines turned out against humans for their optimal domination in this planet’. Can humans have any chances to avoid them by bypassing the inevitable ‘hard singularity’ through a set of ‘soft singularity’. This paper discusses all the facts in details along with significant calculations showing humanity, how to avoid the hard singularity when the progress of intelligence is inevitable. </p>

A Study of the Multipurpose Intelligent Guided Vehicle for Education

1999 ◽  
Vol 11 (4) ◽  
pp. 336-341
Author(s):  
Kouki Yamaji ◽  
◽  
Shinichiro Kamiya ◽  
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Everyday Life ◽  
Technical Education ◽  
Sensory Function ◽  
Computer Hardware ◽  
Good Teaching ◽  
Teaching Aids ◽  
Robot Technology

The robots have been utilized widely not only for manufacturing but also for various other fields. And they are becoming more popular with us in everyday life. So higher technical education and good teaching aids about robots are hoped. But as the robot technology is composed of computer science, computer hardware, sensor, mechanism and the artificial intelligence, it has been separately developed in these fields. In these days the technical education which cross over these fields is hoped. This paper reports the automatically guided vehicle which can be used as the teaching aids fors the moving mechanism, sensory function and artificial intelligence.

scholarly journals Uncontrolled mutation of super-intelligent machines may lead to the destruction of humanity

2021 ◽  
Author(s):  
Deep Bhattacharjee ◽  
Sanjeevan Singha Roy
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Theoretical Computer Science ◽  
Cognitive Capacity ◽  
Theoretical Computer ◽  
Intelligent Machines ◽  
Advantages And Disadvantages ◽  
The World ◽  
Technological Singularity

<p>If in future, the highly intelligent machines control the world, then what would be its advantages and disadvantages? Will, those artificial intelligence powered superintelligent machines become an anathema for humanity or will they ease out the human works by guiding humans in complicated tasks, thereby extending a helping hand to the human works making them comfortable. Recent studies in theoretical computer science especially artificial intelligence predicted something called ‘technological singularity’ or the ‘intelligent explosion’ and if this happens then there can be a further stage as transfused machinery intelligence and actual intelligence where the machines being immensely powerful with a cognitive capacity more than that of humans for solving ‘immensely complicated tasks’ can takeover the humans and even the machines by more intelligent machines of superhuman intelligence. Therefore, it is troublesome and worry-full to think that ‘if in case the machines turned out against humans for their optimal domination in this planet’. Can humans have any chances to avoid them by bypassing the inevitable ‘hard singularity’ through a set of ‘soft singularity’. This paper discusses all the facts in details along with significant calculations showing humanity, how to avoid the hard singularity when the progress of intelligence is inevitable. </p>

scholarly journals Chatbot and its Practical Applications in the Materialistic World

2019 ◽  
Vol 8 (4) ◽  
pp. 4459-4463
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industrial Revolution ◽  
Gradual Increase ◽  
The Other ◽  
Way Of Life ◽  
Practical Applications ◽  
Other Hand ◽  
The World ◽  
Different Types

These days Chat has become the new way of conversation and changed the way of life and the view that the world used to see before and due to Industrial revolution 4.0 , the gradual increase in machine learning and artificial intelligence fields has gone to higher and many companies are reaching customers to get their products with more ease . This is where chatbots are used. It all started with one question! can machines think? The concept of chatbots came into existence to check whether the machines could fool users and make them think that they are actually talking to humans and not robots. On the Other hand, with the Successes Rate of Chat bots, Different companies Started using machines for having conversations with their customers about everything which made their work simpler and reduced the need of man power. There are many different types of building a chatbot but this paper will mainly concentrate on building a Chatbot using TensorFlow API in python

The Summers and Winters of Artificial Intelligence

2019 ◽  
pp. 168-179
Author(s):  
Tad Gonsalves
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Commercial Activities ◽  
Deep Blue ◽  
John Mccarthy ◽  
The World ◽  
Digital Equivalent

Artificial intelligence (AI) is a branch of computer science whose aim is to make computers intelligent. These “intelligent” activities include thinking, reasoning, receiving stimuli from the environment and responding to them, solving puzzles, speaking and understanding language, etc. It was John McCarthy who coined the word artificial intelligence at the conference on computers in Dartmouth in 1954, indicating that its goal was to achieve a digital equivalent of human-level intelligence. In the 1970s, AI entered a low-productive period known as the AI winter. During this period, scientific and notably commercial activities in AI dropped dramatically. The victory of IBM's Deep Blue AI program over the reigning world chess champion in 1997 is probably hailed as the biggest achievement of AI. Yet another great AI achievement is the victory of IBM's Watson over the world Jeopardy champions in 2011. This chapter is a brief outline of how, through numerous ups and downs, AI has come to be where it currently is, and where we might expect it to be heading in the next couple of decades.

Mirror of induction as a system of self-determination of artificial intelligence

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Evgeniy Makarov
Keyword(s):  
Artificial Intelligence ◽  
Natural Environment ◽  
Intelligent Agent ◽  
The Self ◽  
Self Determination ◽  
Philosophical Approach ◽  
Artificial Intelligent ◽  
World Picture ◽  
The World

his article provides a philosophical approach to the problem of induction for an Embedded in environment intelligent agent. The current hypothesis considers a model of artificial intelligent provided that the World-picture embedded in agent which is surrounded by natural environment. Also when the agent is out of data about its environment, it must achieve the self-capability to fill data about the World in the epistemology process. Otherwise, the agent must be able to close the gaps in its internal World. The agent, as it accumulates knowledge, must be aware of itself as a part of something greater, calculate the substance from which it was created, for this purpose an epistemological approach in learning is proposed. In conclusion, it is suggested that artificial intelligence is more likely to appear in an environment whеre it has undeniable advantages over natural intelligence, this space is virtual.

Bio-sensored Diagnostic Kit for Detecting Tuberculosis Using Artificial Intelligence Through Neural Networks

2020 ◽  
Author(s):  
S Tamilselvi ◽  
N.M Saravana Kumar ◽  
S Lavanya ◽  
K Hariprasath ◽  
A Kavinya ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Infected Person ◽  
Medical Field ◽  
Mycobacterium Tuberculosis Infection ◽  
Major Health Problem ◽  
Major Health ◽  
Artificial Intelligent ◽  
The World ◽  
The Way

Abstract The advancement and well-developed technologies in global medical field, tuberculosis remains a major health problem. To solve the problem of tuberculosis, artificial intelligence (AI) provides the way for solving problem in real world and enlightens the world in bringing a human's brain to a machine. This paper aims to detect the presence of mycobacterium tuberculosis infection within a short span of time compared to ancient technique. It is designed in such a way that the breath of the infected person can be used to diagnose the disease at premier stage. The main objective is to design and implement a portable diagnostic kit for Tuberculosis using Neural Networks and Artificial Intelligence. The tool kit called Electronic Nose which is significant artificial intelligent component constructed through neural network contains a biosensor having an electrode coated with the galectin. The signals of hybridization on binding will be captured and processed by machine learning sensor and the output is displayed using artificial intelligence. Earlier case of diagnosis approached on the basis of grouping microorganisms days together. But this study faster to find the report in an hour. Therefore the time taken for diagnosing the presence of the bacterium can be reduced and this also paves the way for starting the treatment immediately.

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