In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. - Wikipedia
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: Speech recognition, Learning, Planning and Problem solving - [Source: https://www.techopedia.com/definition/190/artificial-intelligence-ai]
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. - Wikipedia
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include: Speech recognition, Learning, Planning and Problem solving - [Source: https://www.techopedia.com/definition/190/artificial-intelligence-ai]
Understanding artificial intelligence and it's future scopeChaitanya Shimpi
In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
The following presentation is about the artificial intelligence and its future,scope and growth. It also discuses about the history and various applications of AI in current industry.
About
What is Artificial Intelligence(AI)? , Evolution , Applications of AI? , Features of AI , What is Intelligence and its types?,
What are Agents and Environment? , Fear of AI , Machine Learning , Difference between AI, ML and Deep Learning ,
Applications of ML , Algorithms of AL and ML , Future of AI
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
The English translation of the content presented at the joint meeting of
Research Meeting for Embodied Approach
http://www.geocities.jp/body_of_knowledge/
and
Meta-theoretical Studies of Mind Science
http://www.isc.meiji.ac.jp/~ishikawa/kokoro.html
on July 11th, 2015.
Ref. Phenomenology of Artefacts
http://rondelionai.blogspot.jp/2014/02/phenomenology-of-artefacts.html
The Japanese (original) version: https://www.slideshare.net/naoyaarakawa39/201507-50448060
The following presentation is about the artificial intelligence and its future,scope and growth. It also discuses about the history and various applications of AI in current industry.
About
What is Artificial Intelligence(AI)? , Evolution , Applications of AI? , Features of AI , What is Intelligence and its types?,
What are Agents and Environment? , Fear of AI , Machine Learning , Difference between AI, ML and Deep Learning ,
Applications of ML , Algorithms of AL and ML , Future of AI
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
The English translation of the content presented at the joint meeting of
Research Meeting for Embodied Approach
http://www.geocities.jp/body_of_knowledge/
and
Meta-theoretical Studies of Mind Science
http://www.isc.meiji.ac.jp/~ishikawa/kokoro.html
on July 11th, 2015.
Ref. Phenomenology of Artefacts
http://rondelionai.blogspot.jp/2014/02/phenomenology-of-artefacts.html
The Japanese (original) version: https://www.slideshare.net/naoyaarakawa39/201507-50448060
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.
Describe what is Artificial Intelligence. What are its goals and Approaches. Different Types of Artificial Intelligence Explain Machine learning and took one Algorithm "K-means Algorithm" and explained
Artificial Intelligence lecture notes. AI summarized notes for introduction to machine learning, symbol based and constructionist learning, also deep learning organized here for reading and may be for self-learning, I think.
Artificial Intelligence lecture notes. AI summarized notes on uncertainty and handling it through fuzzy logic, tipping problem scenarios are seen in it, for reading and may be for self-learning, I think.
Artificial Intelligence lecture notes. AI summarized notes for expert systems, inference mechanisms and so on, this is reading and may be for self-learning, I think.
Lec 3 knowledge acquisition representation and inferenceEyob Sisay
Artificial Intelligence lecture notes. AI summarized notes for knowledge reasoning and knowledge representation, its for you in order for reading and may be for self-learning, I think.
Artificial Intelligence lecture notes. AI summarized notes for heuristically informed searches and types of searches in ai ( ai search algorithms ) and machine learning as well, just for reading and may be for self-learning, I think.
Security and Privacy Challenges in Cloud Computing EnvironmentsEyob Sisay
Unique Security and Privacy Implications, Analyzing Route Security Properties and Open Areas for Research in Cloud Computing starting from its characteristics like: on-demand (it functions when needed), rapid elasticity (scaling up or down) and resource utilization enhances by automated resource allocation, load balancing, and metering tools.
A Survey on Wireless Mesh Networks (WMN)Eyob Sisay
The network architectures of WMNs, Critical factors influencing protocol design or its design factors and Open Areas for Research on WMNs are discussed in this slide.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
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.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
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.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
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.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
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.
2. OUTLINE
• What is artificial Intelligence?
• Foundations of Artificial Intelligence
• History and Evolution of Artificial Intelligence
• Overview of Key Ideas of Artificial Intelligence
• Knowledge Representation and Reasoning
• Rule-based Expert Systems
• Search
• Learning
• Applications of Artificial Intelligence in Medicine
4. Ex-1: Searching a path …
4
Different mice might follow different paths based to their intelligence
In other words: The problem can be solved in many ways
Ability to solve problems demonstrates Intelligence
5. Ex-2: Next number in the sequence
…
• Consider the following sequence …
1,3,7,13,21,__
• What is the next number ?
5
• Key: Adding the next EVEN number …
1+2 = 3; 3+4 = 7; 7+6 = 13; 13+8 =21; 21+10 = 31
1,3,7,13,21,31
Ability to solve problems demonstrates Intelligence
6. What Demonstrates Intelligence?
• Ability to solve problems
• Ability to think, plan and schedule
• Ability to memorize and process information
• Ability to answer fuzzy questions
• Ability to learn and recognize
• Ability to understand and perceive
• And many more …
6
Food for thought: Can only humans beings and animals possess these
qualities?
7. What if?
• A machine searches through a mesh and finds a path?
• A machine solves problems like the next number in the
sequence?
• A machine develops plans?
• A machine diagnoses and prescribes?
• A machine answers ambiguous questions?
• A machine recognizes fingerprints?
• A machine understands?
• A machine perceives?
• A machine does MANY MORE SUCH THINGS …
• A machine behaves as HUMANS do? HUMANOID!!!
Artificial Intelligence
7
8. What is Artificial Intelligence?
• Artificial: Not natural or real, made by the art of man
• Intelligence: 1) The power of perceiving, learning,
understanding and knowing; mental ability.
2) News, information.
(Oxford Advanced Learners Dictionary of Current English)
9. What is Artificial Intelligence?
• Artificial Intelligence is the design and study of computer programs that
behave intelligently. (Dean, Allen.)
• The branch of computer science that is concerned with the automation of
intelligent behavior. (Luger, Stubblefield)
• “The science and engineering of making intelligent machines, especially
intelligent computer programs” (John McCarthy )
• Artificial Intelligence is the art of making computers work the way they do
in the movies. (Unknown)
10. What is Artificial Intelligence?
Systems that THINK Like Humans
• “[The automation of] activities that we associate with human thinking,
activities such as decision making, problem solving, learning …”
(Bellman, 1978)
• “The exciting new effort to make computers think … machines with
minds, in the full and literal sense” (Haugeland, 1985)
• “The study of computation that make it possible to perceive, reason
and act” (Winston 1992)
• “The study of mental faculties through the use of computational
models” (Charniak and McDermott)
11. What is Artificial Intelligence?
Systems that ACT Like Humans
• “The art of creating machines that perform functions that require
intelligence when performed by people” (Kurzweil 1990)
• “A field of study that seeks to explain and emulate intelligent behavior
in terms of computational processes” (Schalkoff, 1990)
• “The branch of computer science that is concerned with the
automation of intelligent behavior” (Luger and Stubblefield, 1993)
• “The study of how to make computers do things which, at the moment,
people do better” (Rich and Knight, 1991)
13. Goals of AI
• To Create Expert Systems - The systems which exhibit
intelligent behavior, learn, demonstrate, explain, and advice its
users.
• To Implement Human Intelligence in Machines - Creating
systems that understand, think, learn, and behave like humans.
17. 17
First work in AI
1943
The name
“Artificial
Intelligence”
coined
1956
Development of
Lisp
1958
Microworlds
1963
Realization of
hurdles
AI becomes an
Industry
1981
Neural Networks
reinvented
1986
AI a booming
Industry TODAY
Paradigm Shift, GPS, People realized that all the
problems can NOT be solved with the same
approach
Paradigm Shift, Expert Systems, People
realized that software programs can act as
EXPERTS
Paradigm Shift, ANN, People realized that
software programs can LEARN
18. Overview of Key Ideas of Artificial Intelligence
• In the real world, the knowledge has some unwelcomed properties -
• Its volume is huge, next to unimaginable.
• It is not well-organized or well-formatted.
• It keeps changing constantly.
• AI Technique is a manner to organize and use the knowledge efficiently in
such a way that –
• It should be perceivable by the people who provide it.
• It should be easily modifiable to correct errors.
• It should be useful in many situations though it is incomplete or inaccurate.
• AI techniques elevate the speed of execution of the complex program it is
equipped with.
22. Rule-Based Expert Systems
MYCIN
• Expert Systems (ES) are computer programs that have the ability to solve
problems, understand, think, reason, and learn.