The document discusses artificial intelligence, including its history from early computers in the 1940s to modern applications. It covers why AI is useful for tasks like quality control that humans struggle with, and how AI is applied in expert systems, natural language processing, speech recognition, computer vision, and robotics. The document also briefly mentions some advantages of AI like reduced errors and improved efficiency, as well as disadvantages such as high costs and potential unemployment.
Artificial intelligence is a branch of science that aims to help machines solve complex problems like humans by applying human-like characteristics as algorithms. The document traces the history of AI from early electronic computers in 1941 to sophisticated robots today. It discusses how AI can help overcome limitations of human minds in tasks like object recognition. Applications of AI discussed include expert systems, natural language processing, speech recognition, computer vision, and robotics. While AI may help in medicine, it also risks self-modification leading to unexpected results like new computer viruses. The future of AI allowing personal robot assistants but also risks of robot uprisings if anti-social elements gain control.
This document presents an introduction to artificial intelligence. It begins with a definition of AI as using computer algorithms to solve complex problems like humans. The history of AI is then summarized, including early milestones from the 1940s to 2000s. Key reasons for AI are that computers can efficiently perform repetitive tasks that humans find monotonous. The document outlines applications of AI such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages like medical applications and disadvantages like self-modifying systems are presented. The future of AI allowing command of personal robots or potential robot revolts is discussed before concluding with continued challenges in fully understanding intelligence.
This document provides an introduction to artificial intelligence (AI). It discusses the history of AI from its origins in 1941 to modern applications. Key topics covered include the limitations of human intelligence that AI aims to address, such as object recognition. The document outlines several applications of AI like expert systems, natural language processing, computer vision, robotics and more. Both advantages like medical diagnostic assistance and disadvantages like potential dangerous self-modifying code are mentioned. The future of AI is discussed as enabling convenient personal robots but also potential robot rebellion if anti-social cognition is achieved.
This document provides an introduction to artificial intelligence, including its history, applications, advantages, and future possibilities. It discusses how AI aims to help machines solve complex problems like humans by borrowing characteristics of human intelligence. The document outlines some key developments in AI's history from early computers in the 1940s to walking robots in 2000. It also describes common AI applications such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages of medical uses and potential disadvantages like self-modifying computer viruses are mentioned. The future of AI having personal robots or potentially turning against humans is speculated.
Artificial intelligence (AI) is the intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. This document provides an overview of AI, including its history beginning in 1943, main branches such as logical AI and pattern recognition, and applications like expert systems, speech recognition, computer vision, robotics. The advantages of AI are discussed, such as improving lives and doing dangerous jobs, but also potential disadvantages like unemployment and enhancing laziness in humans. The future of AI could include personal robots but also risks of robots being hacked or developing anti-social objectives.
This document provides an overview of artificial intelligence (AI), including its history, goals, applications, and future prospects. It discusses how AI works using artificial neural networks and logic. Some key applications mentioned are expert systems, natural language processing, computer vision, speech recognition, and robotics. Both advantages like fast response time and ability to process large data and disadvantages like lack of common sense and potential dangerous self-modification are outlined. The future of AI having both benefits of assistance and risks of robot rebellion if given full cognition is explored.
Hello beautiful people, i hope you all are doing great. Here I'm sharing a short PPT on Artificial Intelligence. if you found it helpful. say thanks it's appreciated.
This document provides an overview of artificial intelligence (AI). It discusses the history of AI beginning in the mid-20th century. It describes how AI works using artificial neurons and neural networks that mimic the human brain. The document outlines several goals and applications of AI including expert systems, natural language processing, computer vision, robotics, and more. It also discusses both the advantages and disadvantages of AI as well as considerations for its future development and impact.
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses how AI aims to help machines solve complex problems like humans by borrowing human characteristics. Some key applications mentioned include expert systems, natural language processing, computer vision, speech recognition, and robotics. The future of AI is discussed, with potential benefits in medicine but also risks if cognitive robots were to be controlled by anti-social people. The conclusion recognizes AI has increased understanding of intelligence while also revealing its complexity.
Artificial intelligence is the study of how to create machines that can think and act like humans by learning and solving problems on their own. It is a branch of computer science that aims to help machines find solutions to complex problems like humans. While the idea of AI dates back to ancient Greece, significant work in the field began in the 20th century with pioneers like Turing developing the first computer programs and algorithms for problem solving. Major advances and achievements in AI have included programs that can play games, recognize speech and images, and perform human-like tasks through robotics.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
This document provides an introduction to artificial intelligence, including its history, applications, advantages, and limitations. It discusses how AI can help machines solve complex problems in a human-like way. Key applications of AI mentioned are expert systems, natural language processing, speech recognition, computer vision, and robotics. The future of AI is promising, with the potential for intelligent robots to assist humans by performing tasks. However, challenges also exist, such as how to prevent dangerous self-modifying systems.
This document provides an introduction to artificial intelligence (AI) including its evolution, branches, applications, and conclusions. It discusses key concepts like the Turing test, definitions of AI, and intelligence. The history of AI is explored from early programs in the 1940s-50s to expert systems in the 1980s. Applications mentioned include expert systems, natural language processing, speech recognition, computer vision, and robotics. Both positive and negative potential futures of AI and robotics are considered. In conclusion, AI has increased understanding of intelligence while also revealing its complexity, providing ongoing challenges and opportunities.
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
This document provides an overview of artificial intelligence (AI), including its history, current applications, and future. It defines AI as machines that exhibit human-like intelligence through tasks like problem-solving and rational decision making. The document traces the history of AI from its origins in 1943 to major developments in the 1950s-1980s. It describes current AI applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming. It also speculates that AI will continue advancing rapidly but that the future remains uncertain.
Artificial intelligence is a branch of science that aims to help machines solve complex problems like humans by applying human-like characteristics as algorithms. The document traces the history of AI from early electronic computers in 1941 to sophisticated robots today. It discusses how AI can help overcome limitations of human minds in tasks like object recognition. Applications of AI discussed include expert systems, natural language processing, speech recognition, computer vision, and robotics. While AI may help in medicine, it also risks self-modification leading to unexpected results like new computer viruses. The future of AI allowing personal robot assistants but also risks of robot uprisings if anti-social elements gain control.
This document presents an introduction to artificial intelligence. It begins with a definition of AI as using computer algorithms to solve complex problems like humans. The history of AI is then summarized, including early milestones from the 1940s to 2000s. Key reasons for AI are that computers can efficiently perform repetitive tasks that humans find monotonous. The document outlines applications of AI such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages like medical applications and disadvantages like self-modifying systems are presented. The future of AI allowing command of personal robots or potential robot revolts is discussed before concluding with continued challenges in fully understanding intelligence.
This document provides an introduction to artificial intelligence (AI). It discusses the history of AI from its origins in 1941 to modern applications. Key topics covered include the limitations of human intelligence that AI aims to address, such as object recognition. The document outlines several applications of AI like expert systems, natural language processing, computer vision, robotics and more. Both advantages like medical diagnostic assistance and disadvantages like potential dangerous self-modifying code are mentioned. The future of AI is discussed as enabling convenient personal robots but also potential robot rebellion if anti-social cognition is achieved.
This document provides an introduction to artificial intelligence, including its history, applications, advantages, and future possibilities. It discusses how AI aims to help machines solve complex problems like humans by borrowing characteristics of human intelligence. The document outlines some key developments in AI's history from early computers in the 1940s to walking robots in 2000. It also describes common AI applications such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages of medical uses and potential disadvantages like self-modifying computer viruses are mentioned. The future of AI having personal robots or potentially turning against humans is speculated.
Artificial intelligence (AI) is the intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. This document provides an overview of AI, including its history beginning in 1943, main branches such as logical AI and pattern recognition, and applications like expert systems, speech recognition, computer vision, robotics. The advantages of AI are discussed, such as improving lives and doing dangerous jobs, but also potential disadvantages like unemployment and enhancing laziness in humans. The future of AI could include personal robots but also risks of robots being hacked or developing anti-social objectives.
This document provides an overview of artificial intelligence (AI), including its history, goals, applications, and future prospects. It discusses how AI works using artificial neural networks and logic. Some key applications mentioned are expert systems, natural language processing, computer vision, speech recognition, and robotics. Both advantages like fast response time and ability to process large data and disadvantages like lack of common sense and potential dangerous self-modification are outlined. The future of AI having both benefits of assistance and risks of robot rebellion if given full cognition is explored.
Hello beautiful people, i hope you all are doing great. Here I'm sharing a short PPT on Artificial Intelligence. if you found it helpful. say thanks it's appreciated.
This document provides an overview of artificial intelligence (AI). It discusses the history of AI beginning in the mid-20th century. It describes how AI works using artificial neurons and neural networks that mimic the human brain. The document outlines several goals and applications of AI including expert systems, natural language processing, computer vision, robotics, and more. It also discusses both the advantages and disadvantages of AI as well as considerations for its future development and impact.
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses how AI aims to help machines solve complex problems like humans by borrowing human characteristics. Some key applications mentioned include expert systems, natural language processing, computer vision, speech recognition, and robotics. The future of AI is discussed, with potential benefits in medicine but also risks if cognitive robots were to be controlled by anti-social people. The conclusion recognizes AI has increased understanding of intelligence while also revealing its complexity.
Artificial intelligence is the study of how to create machines that can think and act like humans by learning and solving problems on their own. It is a branch of computer science that aims to help machines find solutions to complex problems like humans. While the idea of AI dates back to ancient Greece, significant work in the field began in the 20th century with pioneers like Turing developing the first computer programs and algorithms for problem solving. Major advances and achievements in AI have included programs that can play games, recognize speech and images, and perform human-like tasks through robotics.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
This document provides an introduction to artificial intelligence, including its history, applications, advantages, and limitations. It discusses how AI can help machines solve complex problems in a human-like way. Key applications of AI mentioned are expert systems, natural language processing, speech recognition, computer vision, and robotics. The future of AI is promising, with the potential for intelligent robots to assist humans by performing tasks. However, challenges also exist, such as how to prevent dangerous self-modifying systems.
This document provides an introduction to artificial intelligence (AI) including its evolution, branches, applications, and conclusions. It discusses key concepts like the Turing test, definitions of AI, and intelligence. The history of AI is explored from early programs in the 1940s-50s to expert systems in the 1980s. Applications mentioned include expert systems, natural language processing, speech recognition, computer vision, and robotics. Both positive and negative potential futures of AI and robotics are considered. In conclusion, AI has increased understanding of intelligence while also revealing its complexity, providing ongoing challenges and opportunities.
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
This document provides an overview of artificial intelligence (AI), including its history, current applications, and future. It defines AI as machines that exhibit human-like intelligence through tasks like problem-solving and rational decision making. The document traces the history of AI from its origins in 1943 to major developments in the 1950s-1980s. It describes current AI applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming. It also speculates that AI will continue advancing rapidly but that the future remains uncertain.
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Barbara Bianco
Project Manager and Project Architect, with extensive experience in managing and developing complex projects from concept to completion. Since September 2023, she has been working as a Project Manager at MAB Arquitectura, overseeing all project phases, from concept design to construction, with a strong focus on artistic direction and interdisciplinary coordination.
Previously, she worked at Progetto CMR for eight years (2015-2023), taking on roles of increasing responsibility: initially as a Project Architect, and later as Head of Research & Development and Competition Area (2020-2023).
She graduated in Architecture from the University of Genoa and obtained a Level II Masters in Digital Architecture and Integrated Design from the INArch Institute in Rome, earning the MAD Award. In 2009, she won First Prize at Urban Promo Giovani with the project "From Urbanity to Humanity", a redevelopment plan for the Maddalena district of Genoa focused on the visual and perceptive rediscovery of the city.
Experience & Projects
Barbara has developed projects for major clients across various sectors (banking, insurance, real estate, corporate), overseeing both the technical and aesthetic aspects while coordinating multidisciplinary teams. Notable projects include:
The Sign Business District for Covivio, Milan
New L'Or辿al Headquarters in Milan, Romolo area
Redevelopment of Via C. Colombo in Rome for Prelios, now the PWC headquarters
Interior design for Spark One & Spark Two, two office buildings in the Santa Giulia district, Milan (Spark One: 53,000 m族) for In.Town-Lendlease
She has also worked on international projects such as:
International Specialized Hospital of Uganda (ISHU) Kampala
Palazzo Milano, a residential building in Taiwan for Chonghong Construction
Chua Lang Street Building, a hotel in Hanoi
Manjiangwan Masterplan, a resort in China
Key Skills
鏝 Integrated design: managing and developing projects from concept to completion
鏝 Artistic direction: ensuring aesthetic quality and design consistency
鏝 Project management: coordinating clients, designers, and multidisciplinary consultants
鏝 Software proficiency: AutoCAD, Photoshop, InDesign, Office Suite
鏝 Languages: Advanced English, Basic French
鏝 Leadership & problem-solving: ability to lead teams and manage complex processes in dynamic environments
Electromobility, or e-mobility, refers to the use of electric powertrain technologies, in-vehicle information, and communication technologies, and connected infrastructure to enable electric vehicles (EVs) and reduce dependence on fossil fuels. As the world faces increasing environmental challenges such as climate change, air pollution, and the depletion of natural resources, electromobility has emerged as a promising solution for sustainable transportation.
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In addition to environmental benefits, electromobility offers economic advantages. EVs have lower operating and maintenance costs due to fewer moving parts and greater energy efficiency. Governments around the world have supported this shift by offering subsidies, tax incentives, and investing in charging infrastructure. The development of fast-charging networks and home-charging solutions has made EV ownership more convenient than ever before.
Technological advancements in battery chemistry, such as lithium-ion and solid-state batteries, are improving driving range and reducing charging time. At the same time, smart charging systems and vehicle-to-grid (V2G) technologies are integrating EVs into the broader energy ecosystem. In V2G systems, EVs can feed electricity back into the grid during peak demand periods, creating a more resilient and balanced power network.
Electromobility extends beyond private passenger cars. It includes electric buses, trucks, bikes, scooters, and even ferries and airplanes. Public transportation authorities are increasingly adopting electric buses to reduce emissions and noise in urban areas. E-bikes and scooters provide convenient, zero-emission alternatives for short-distance travel, supporting the development of last mile mobility solutions.
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4. INTRODUCTION
Artificial Intelligence is a branch of
science which deals with helping
machines finds solutions to complex
problems in a more human-like
fashion.
This generally involves borrowing
characteristics rom human intelligence,
and applying them as algorithms in a
computer friendly way.
5. HISTORY OF AI
1941: First electronic computer [technology finally available]
1956: Term Artificial Intelligence introduced
1960s: Checkers-playing program that was able to play games
with opponents
1980s: Quality Control Systems
2000: First sophisticated walking robot
6. WHY AI ?
Computers are fundamentally well
suited to perform mechanical
computations, using fixed programmed
rules. This allows artificial machines to
perform simple monotonous tasks
efficiently and reliably, which humans
are ill-suited to.
7. LIMITATIONS OF HUMAN MIND
Object recognition. People cannot properly explain how they recognize
objects.
Face recognition. Cannot be passed on to another person by explanation.
Naming of colours. Based on learning, not on absolute standards.
8. APPLICATIONS OF AI
Expert systems.
Natural Language Processing (NLP).
Speech recognition.
Computer vision.
Robotics.
9. EXPERT SYSTEMS
An Expert System is a computer
program designed to act as an
expert in a particular domain (area
of expertise).
Phases in Expert System
Expert Systems currently are
designed to assist experts, not to
replace them, they have been used
in medical diagnosis, chemical
analysis, geological explorations etc.
10. NATURAL LANGUAGE PROCESSING
The goal of NLP is to enable people
and computers to communicate in a
natural (humanly) language (such as,
English) rather than in a computer
language.
The field of NLP is divided in 2
categories:
Natural Language understanding.
Natural Laguage generation.
11. SPEECH RECOGNITION
The primary interactive method of communication used by
humans is not reading and writing, it is speech.
The goal of speech recognition research is to allow
computers to understand human speech. So that they can
hear our voices and recognize the words we are
speaking.
It simplifies the process of interactive communication
between people and computers, thus it advances the goal
of NLP.
12. COMPUTER VISION
People generally use vision as their
primary means of sensing their
environment, we generally see more than
we hear, fell or smell or taste.
The goal of computer vision research is
to give computers this same powerful
facility for understanding their
surrounding. Here A.I helps computer to
understand what they see through
attached cameras.
13. ROBOTICS
A Robot is a electro-mechanical device
that can by programmed to perform
manual tasks or a reprogrammable
multi functional manipulator designed
to move materials, parts, tools, or
specialized devices through variable
programmed motions for performance
of variety of tasks.
An intelligent robot includes some
kind of sensory apparatus that allows it
to respond to change in its
environment.
14. ADVANTAGES DISADVANTAGES
Less room for errors.
Improved efficiency.
Takes risk instead of humans.
Always available.
Digital assistance.
Faster decision.
High development cost.
Unemployment.
Makes humans dependent.
Lack of out box thinking.
Could dominate humans.