Knowledge representation is an important part of artificial intelligence that allows intelligent systems to utilize stored real-world knowledge to solve complex problems. Knowledge representation involves encoding knowledge about objects, events, behaviors, facts, and meta-knowledge in a way that a computer system can manipulate and reason with. It enables machines to not just store data but also learn from experiences to behave intelligently like humans by representing different types of knowledge such as objects, events, performance, meta-knowledge, and facts in a knowledge base.
The Introductory part of 'Basics of Artificial Intelligence at Grade 10.' This presentation is composed of the types of intelligences, domains of AI, etc.
The Introductory part of 'Basics of Artificial Intelligence at Grade 10.' This presentation is composed of the types of intelligences, domains of AI, etc.
Artificial Intelligence
Navya Reddy Karnati (556139)
Venkateshwara Reddy Allu (559524)
Savan Ramparaiya (554616)
Sreehasha sunkara (548576)
Sai Venkat rathan Ravula (550732)
BA63473H4
Introduction:
Artificial intelligence is a new development platform which is able to make tasks with human intelligence. Artificial intelligence plays an important role in coming future to make things much faster without human force. There are lot of advantages using the artificial intelligence. Here the advantages below explained in detail. Here are the examples AI can perform tasks like visual identification, speech recognition, making the decisions and language translations.
Before knowing more about the Artificial intelligence, we need to know about the intelligence, types and components of intelligence.
What is Intelligence?
it is an ability to perform a task or an activity to learn from the experience, store and retrieve information from memory, resolve issues and adopt new situations. There are different types of intelligence detailed in below.
Here are the types below. Linguistic intelligence, Musical intelligence, logical mathematical intelligence, spatial intelligence, Bodily-Kinesthetic intelligence , Intra-personal intelligence, Interpersonal intelligence.
There are more real life examples with use of Artificial intelligence. One of the famous motor company TESLA has announced self-driving cars that are going to drive with using human intelligence so person may not be needed to drive any vehicle. This is the most trending innovation with the help of artificial intelligence. Another important feature here is Navigation System. This is also an important feature that helps us to reach any destination with the help artificial intelligence. With the help of artificial intelligence designing robots which will he be helpful to control terrorist attacks without human force. Robots can be much helpful for the military. Google is also working on the artificial intelligence feature which will be helpful to the public in the form of providing benefits to the common people. There are several google applications everybody is using in today’s world like google maps, drive for sharing the data in the cloud and securing the data and back up the data. To conclude there are many more advantages using the artificial intelligence which can perform the tasks with human intelligence and also explained the real time examples detailed above.
Here are some weak points about the Artificial intelligence. The most weak point about the machine learning is , machines with weak Artificial intelligence are made to respond to specific situations but cannot think for themselves. On the other hand, there are more points about the artificial intelligence. A machine with strong Artificial intelligence is able to think and just act like a human which is an extra ordinary thing. The best real time example here is how the Hollywood movies can have portrayed their movies wi.
Artificial Intelligence
Navya Reddy Karnati (556139)
Venkateshwara Reddy Allu (559524)
Savan Ramparaiya (554616)
Sreehasha sunkara (548576)
Sai Venkat rathan Ravula (550732)
BA63473H4
Introduction:
Artificial intelligence is a new development platform which is able to make tasks with human intelligence. Artificial intelligence plays an important role in coming future to make things much faster without human force. There are lot of advantages using the artificial intelligence. Here the advantages below explained in detail. Here are the examples AI can perform tasks like visual identification, speech recognition, making the decisions and language translations.
Before knowing more about the Artificial intelligence, we need to know about the intelligence, types and components of intelligence.
What is Intelligence?
it is an ability to perform a task or an activity to learn from the experience, store and retrieve information from memory, resolve issues and adopt new situations. There are different types of intelligence detailed in below.
Here are the types below. Linguistic intelligence, Musical intelligence, logical mathematical intelligence, spatial intelligence, Bodily-Kinesthetic intelligence , Intra-personal intelligence, Interpersonal intelligence.
There are more real life examples with use of Artificial intelligence. One of the famous motor company TESLA has announced self-driving cars that are going to drive with using human intelligence so person may not be needed to drive any vehicle. This is the most trending innovation with the help of artificial intelligence. Another important feature here is Navigation System. This is also an important feature that helps us to reach any destination with the help artificial intelligence. With the help of artificial intelligence designing robots which will he be helpful to control terrorist attacks without human force. Robots can be much helpful for the military. Google is also working on the artificial intelligence feature which will be helpful to the public in the form of providing benefits to the common people. There are several google applications everybody is using in today’s world like google maps, drive for sharing the data in the cloud and securing the data and back up the data. To conclude there are many more advantages using the artificial intelligence which can perform the tasks with human intelligence and also explained the real time examples detailed above.
Here are some weak points about the Artificial intelligence. The most weak point about the machine learning is , machines with weak Artificial intelligence are made to respond to specific situations but cannot think for themselves. On the other hand, there are more points about the artificial intelligence. A machine with strong Artificial intelligence is able to think and just act like a human which is an extra ordinary thing. The best real time example here is how the Hollywood movies can have portrayed their movies wi.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
1. Ranjitha M
Department of Computer Science [PG]
Kristu Jayanti College[Autonomous]
Bengaluru
AI-Knowledge Representation
2.
3.
4.
5. The importance of knowledge representation
Contrary to the beliefs of early workers in AI, experience has shown that Intelligent
Systems cannot achieve anything useful unless they contain a large amount of
real-world - probably domain-specific - knowledge.
Humans almost always tackle difficult real-world problems by using their resources
of knowledge - "experience", "training" etc.
This raises the problem of how knowledge can be represented inside a computer,
in such a way that an AI program can manipulate it.
6. Definition and importance of knowledge
What is knowledge representation?
Humans are best at understanding, reasoning, and interpreting knowledge.
Human knows things, which is knowledge and as per their knowledge they perform various actions in
the real world.
But how machines do all these things comes under knowledge representation and reasoning.
Hence we can describe Knowledge representation as following:
Knowledge representation and reasoning (KR, KRR) is the part of Artificial intelligence which concerned
with AI agents thinking and how thinking contributes to intelligent behavior of agents.
It is responsible for representing information about the real world so that a computer can understand
and can utilize this knowledge to solve the complex real world problems such as diagnosis a medical
condition or communicating with humans in natural language.
It is also a way which describes how we can represent knowledge in artificial intelligence.
Knowledge representation is not just storing data into some database, but it also enables an
intelligent machine to learn from that knowledge and experiences so that it can behave
intelligently like a human.
7. What kind of knowledge to Represent:
Object: All the facts about objects in our world domain. E.g., Guitars contains
strings, trumpets are brass instruments.
Events: Events are the actions which occur in our world.
Performance: It describe behavior which involves knowledge about how to do
things.
Meta-knowledge: It is knowledge about what we know.
Facts: Facts are the truths about the real world and what we represent.
Knowledge-Base: The central component of the knowledge-based agents is the
knowledge base. It is represented as KB. The Knowledgebase is a group of the
Sentences (Here, sentences are used as a technical term and not identical with
the English language).
![Ranjitha M
Department of Computer Science [PG]
Kristu Jayanti College[Autonomous]
Bengaluru
AI-Knowledge Representation](https://image.slidesharecdn.com/artificialintelligenceknowledgerepresentation-221216082456-1bb122d3/85/ARtificial-Intelligence-Knowledge-Representation-pptx-1-320.jpg)
