Define artificial intelligence.
Mention the four approaches to AI.
What are the capabilities of AI that have to process with computer?
Mention the foundations of AI?
Mention the crude comparison of the raw computational resources available to computer and human brain.
Briefly explain the history of AI.
What are rational action and intelligent agent?
Define artificial intelligence.
Mention the four approaches to AI.
What are the capabilities of AI that have to process with computer?
Mention the foundations of AI?
Mention the crude comparison of the raw computational resources available to computer and human brain.
Briefly explain the history of AI.
What are rational action and intelligent agent?
Artificial Intelligence an Amazing presentation By Group4.
Group4 is a unique group of Govt.postgraduate College sheikhupura affiliated with Punjab University of Punjab,Pakistan..
Contact details..
Shamimaqsoodulhassan@yahoo.com or Shamimaqsood@gmail.com
Phone Number: 03045128753
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
AI is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for the use of information), reasoning (using the rules to reach approximate or final conclusions) and self-correction. Particular applications of the AI include expert system speech recognition and artificial vision.
Artificial Intelligence power point presentationDavid Raj Kanthi
A presentation about the basic idea about the present and future technologies which are dependent on the "ARTIFICIAL INTELLIGENCE".
AI is a branch of science which deals with the thinking, predicting, analyzing which are done by the computer itself.
The present presentation slides consists of the AI with machine learning and deep learning, goals of AI, Applications of AI and history of the Artificial intelligence etc.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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.
Artificial Intelligence an Amazing presentation By Group4.
Group4 is a unique group of Govt.postgraduate College sheikhupura affiliated with Punjab University of Punjab,Pakistan..
Contact details..
Shamimaqsoodulhassan@yahoo.com or Shamimaqsood@gmail.com
Phone Number: 03045128753
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
AI is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for the use of information), reasoning (using the rules to reach approximate or final conclusions) and self-correction. Particular applications of the AI include expert system speech recognition and artificial vision.
Artificial Intelligence power point presentationDavid Raj Kanthi
A presentation about the basic idea about the present and future technologies which are dependent on the "ARTIFICIAL INTELLIGENCE".
AI is a branch of science which deals with the thinking, predicting, analyzing which are done by the computer itself.
The present presentation slides consists of the AI with machine learning and deep learning, goals of AI, Applications of AI and history of the Artificial intelligence etc.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
2. 2
What is AI?
• The branch of computer science called Artificial Intelligence
is said to have been born at a conference held at
Dartmouth, USA, in 1956
• The scientists attending that conference represented several
different disciplines: mathematics, neurology,
psychology, electrical engineering, etc
• They had one thing in common:
They all were trying to use the recently developed
computers to simulate various aspects of human
intelligence
3. 3
What is AI?
• Artificial Intelligence may be defined as the branch of
computer science that is concerned with the
automation of intelligent behavior
• An exact definition of intelligence is not easy to formulate
• However, there are some general abilities which are
universally considered as intelligent
4. 4
What is AI?
According to Douglas Hofstadter these are:
- To respond to situations very flexibly
If the same response is exhibited each time, the behavior
is called mechanical.
To survive in changing environments, one need to exhibit
innovative behavior (e.g. art of begging)
- To make sense out of ambiguous or contradictory messages
We understand such messages because our knowledge
and experience allows us to place them in context.
(e.g. time flies like an arrow, buy this washing powder
versus buy that washing powder)
5. 5
What is AI?
- To recognize the relative importance of different elements
of a situation
(e.g. quality versus price of a commodity)
- To find similarities between situations despite differences
which may separate them
(e.g. chairs in two different pictures)
- To draw distinctions between situations despite similarities
which may link them
(e.g. differences in two cars)
These abilities are largely due to knowledge and experience,
which allows you to place an information in its wider context
6. 6
What is AI?
Another definition of intelligence:
It is the ability to
- perceive inter-relationship of facts
- learn and understand from experience
- acquire and retain knowledge
- respond quickly and successfully to a new
situation
7. 7
What is AI?
Turing test was proposed in 1950.
It is a test to decide whether or not a particular
machine is intelligent.
Predicted that by 2000, a machine might have a 30%
chance of fooling a lay person for 5 minutes
8. 8
What is AI?
- Contact only through monitor and keyboard
- Machine tries to pose as a human
- If the player cannot distinguish between human and
machine, then machine is considered intelligent
Revised Turing Test: A human converses with an unseen
respondent and attempts to determine whether it is a
man or machine. If the computer fools you into
thinking that it is a human, than that machine is
intelligent
9. 9
What is AI?
Sometimes it is possible to program computers to carry on
shallow conversations, in limited areas, and thus fool
unsuspecting humans into believing that they are
addressing other humans.
Example: Program ELIZA simulating a psychiatrist.
Person: I miss my children
ELIZA: “Why do you miss your children?”
or “ Tell me more about your family”
ELIZA is programmed to ask pre-determined questions
and parrot segments of your responses back to you.
Hence Turing test may not be such a good judge of
machine intelligence after all
10. 10
What is AI?
This leads us to the issue of “understanding”
Even though a machine may be exhibiting intelligent
behaviour, it does not “understands” what it is doing
Searle’s Chinese Room Example
Strong and Weak AI
11. 11
Major AI Areas
1. Expert Systems
An ES is a computer program designed to act as an expert in a
particular domain (area of expertise). It typically includes a sizeable
knowledge base, consisting of facts about the domain and rules
for application to those facts. Medical (e.g. PXDES, MYCIN)
and Agriculture (e.g. AGREX)
2. Natural Language Processing
Goal is to enable people and computers to communicate in
ordinary or natural English.
- Comprehension of natural language:
Keyboard input (e.g. MS Word Processor), speech
recognition (e.g. IBM VoiceType Dictation , BBN
corporation: voice activated browsers, speaker
identification for security and Operetta™)
- Generation of natural language.
12. 12
Major AI Areas
3. Machine learning
Field of study that gives computer the ability to learn without
being explicitly programmed (Arthur Samuel, 1956)
ML learning provides best methods for
developing particular kinds of software, in
applications where:
1. Application is too much
complex for people to manually
design the algorithm. For instance,
soft- wares for sensor-based
prediction tasks such as speech
recognition and computer vision.
13. 13
Major AI Areas
3. Machine learning
Field of study that gives computer the ability to learn without
being explicitly programmed (Arthur Samuel, 1956)
ML learning provides best methods for
developing particular kinds of software, in
applications where:
2. Applications require that the
software customize to its operational
environment after it is fielded. For
example, speech recognition system
that customize to the user who purchase
the software or recommenders
14. 14
Major AI Areas
4. Robotics and Computer Vision
Factory automation
Autonomous vehicles
Robots: Electromechanical devices programmed to
perform manual tasks. Not all robots are
intelligent. Some are pre-programmed by
conventional techniques and are dumb. An
intelligent robot usually includes some kind of
sensory apparatus that allows it to respond to
changes in its environment.
Computer Vision: it is field that include methods for
acquiring, processing, analyzing and understanding
images in order to produce numerical and symbolic
information. For example, medical image processing
is an application of computer vision