Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
Artificial intelligence plays a major role in digital marketing. There are different types of AI:
Reactive machines simply react to input with output without learning. Limited memory types can store previous data and predictions to make better forecasts. Theory of mind AI is beginning to interact with human thoughts and emotions, as seen in self-driving cars interacting with other drivers. The final type is hypothetical self-aware AI that could achieve independent intelligence and potential negotiation with humans.
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
This document provides an overview of artificial intelligence (AI) including definitions, history, major branches, uses, advantages, and disadvantages. It discusses how AI aims to simulate human intelligence through machine learning, problem solving, and rational decision making. The history of AI is explored from early concepts in the 1940s-50s to modern applications. Major branches covered include robotics, data mining, medical diagnosis, and video games. Current and future uses of AI are seen in personal assistants, autonomous systems, speech/image recognition, and many other fields. Both advantages like efficiency and disadvantages like job loss are noted.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
This document provides an overview of artificial intelligence (AI), including its history, categories, branches, applications, and tools. It discusses how AI has evolved through different generations of computing. Key topics covered include expert systems, neural networks, programming languages used in AI, the American Association for Artificial Intelligence (AAAI), and perspectives on AI's future potential impacts and applications.
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
The document provides an overview of artificial intelligence, including its definition, history, approaches, tools for evaluation, applications, and predictions for the future. It discusses topics such as the traits of an intelligent system, methods like cybernetics and symbolic/statistical approaches, tools including search algorithms and neural networks, and applications in fields like medicine, robotics, and web search engines.
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
Artificial intelligence- The science of intelligent programsDerak Davis
Artificial intelligence (AI) involves creating intelligent computer programs and machines that can interact with the real world similarly to humans. AI uses techniques like machine learning, deep learning, and neural networks to allow programs to learn from data and experience without being explicitly programmed. While AI has potential benefits, some experts warn that advanced AI could pose risks if not developed carefully due to concerns it could become difficult for humans to control once a certain level of intelligence is achieved.
Artificial intelligence (AI) is the ability of digital computers or robots to perform tasks commonly associated with intelligent beings. The idea of AI has its origins in ancient Greece but the field began in the 1950s. Today, AI is used in applications like IBM's Watson, driverless cars, automated assembly lines, surgical robots, and traffic control systems. The future of AI depends on whether researchers can achieve human-level or superhuman intelligence through techniques like whole brain emulation. Critics argue key challenges remain in replicating general human intelligence and consciousness with technology.
This presentation provides an overview of artificial intelligence (AI), including its definition, introduction, foundations, advantages, applications, and limitations. AI is defined as the intelligence demonstrated by machines and the branch of computer science which aims to create intelligent agents. The presentation traces the foundations of AI through various fields such as philosophy, mathematics, neuroscience, and computer engineering. It also outlines the advantages of AI, such as reducing errors and exploring new possibilities, and the potential disadvantages like overreliance on AI and job losses. The presentation concludes that while AI tools can help solve problems, they cannot replace human capabilities.
This PPT gives you more than enough introduction to artificial intelligence and makes you to learn yourself artificial intelligence creating interest upon it
Artificial intelligence (AI) is the ability of computers and machines to think and learn. The document discusses different types of AI including strong AI which can think like humans and weak AI which responds to specific situations. The history of AI began in the 1950s with Alan Turing's work and the 1956 Dartmouth Conference where the term "artificial intelligence" was coined. Current applications of AI include mobile phones, games, GPS, robots and personal assistants. The future of AI may include military robots, self-driving cars, improved healthcare, and smart homes. While AI provides benefits like accuracy and space exploration, concerns include costs, lack of human touch, and potential job losses. Strong skills in math, programming, and machine learning
Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. There are four main schools of thought in AI: thinking humanly, thinking rationally, acting humanly, and acting rationally. Popular techniques used in AI include machine learning, deep learning, and natural language processing. The document then discusses the growth of AI and its applications in various domains like healthcare, law, education, and more. It also lists the top companies leading the development of AI like DeepMind, Google, Facebook, Microsoft, and others. Finally, it provides perspectives on the future impact and adoption of AI.
The document discusses the history, goals, current status, and future of artificial intelligence. It defines AI as making computers think intelligently like humans by studying the human brain. The goals of AI are to create expert systems that exhibit intelligent behavior and implement human intelligence in machines. The history of AI includes early foundations in the 1940s and milestones like Deep Blue beating Kasparov in 1997. Current AI is demonstrated in technologies like mobile assistants, robots, and self-driving cars. The future of AI is expected to include more human-level speech recognition and practical applications that digitally recreate human intelligence.
Artificial intelligence is the study and design of intelligent agents, with no single goal. It aims to put the human mind into computers by developing machines that can achieve goals through computation. The origins of AI began in the 1940s with the development of electronic computers. Significant early developments included the first stored program computer in the 1950s, the Dartmouth Conference which coined the term "artificial intelligence" in the 1950s, and the development of the LISP programming language. In the following decades, AI research expanded and led to applications in fields like expert systems, games, and military systems. While progress has been made, the full extent of intelligence and the future of AI remains unknown.
Artificial intelligence dr bhanu ppt 13 09-2020BhanuSagar3
The document discusses a webinar on using artificial intelligence to advance pharmacy and healthcare in India. It will take place on September 13, 2020 from 2-3 pm, hosted by Prof. Bhanu P. S. Sagar. The webinar will cover the history of medical innovations using AI, how AI is applied in various fields like natural language processing and machine learning. It will also discuss the advantages of AI, such as reducing errors and facilitating difficult tasks. The types and applications of AI technology in the pharmaceutical industry will also be presented.
Artificial intelligence is mimicking human cognitive abilities through machine learning and big data. It is currently being applied in many areas like computer vision, speech recognition, and robotics. While current AI is narrow, focused on specific tasks, the future may bring more general strong AI with human-level cognition. AI is impacting society positively by improving efficiency, creating new jobs, enhancing lifestyle through applications like smart homes, and improving access to healthcare through technologies like telemedicine.
Artificial intelligence is mimicking human cognitive abilities through machine learning and big data. It is currently being applied in many areas like computer vision, speech recognition, and robotics. While current AI is narrow, focused on specific tasks, the future may bring more general strong AI with human-level cognition. AI is impacting society positively by improving efficiency, creating new jobs, enhancing lifestyle through applications like smart homes, and improving access to healthcare through technologies like telemedicine.
Artificial intelligence (AI) broadly refers to any human-like behavior displayed by a machine or system. AI has progressed from enabling computers to play games like checkers against humans to now being part of our daily lives through solutions in areas like healthcare, manufacturing, financial services, and entertainment. HPE is pioneering AI by harnessing data and gaining insights at the edge to help customers realize the value of their data faster and leverage opportunities for innovation, growth, and success. A brief history of AI discusses its early development in the 1950s and milestones like defeating chess masters and developing speech recognition.
The A_Z of Artificial Intelligence Types and Principles_1687569150.pdfssuseredfe14
This document provides an overview of various types and principles of artificial intelligence. It contains 27 different types of AI categorized alphabetically from A to Z. For each type, it provides a brief 1-2 sentence definition of what the type is and potential applications. The types covered include ambient AI, adaptive AI, Bayesian AI, big data AI, conversational AI, creative AI, deep learning, and others. It aims to be an introductory guide to the different areas and techniques within the field of artificial intelligence.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
Artificial intelligence (AI) is a branch of computer science concerned with building intelligent machines that can perform tasks requiring human intelligence. AI is advancing rapidly through machine learning and deep learning techniques. Developers use AI to automate tasks and solve problems. AI systems can learn with or without human supervision. While strong AI that matches human intelligence does not yet exist, weak AI is used for applications like smart assistants, self-driving cars, and spam filters. The future of AI is uncertain but it has potential to transform many industries through automation and improved decision making. Challenges include the costs of development and potential job disruption.
Artificial intelligence (AI) is a branch of computer science concerned with building intelligent machines that can perform tasks requiring human intelligence. AI is advancing rapidly through machine learning and deep learning techniques. Developers use AI to automate tasks and solve problems. AI systems can learn with or without human supervision. While strong AI that matches human intelligence does not yet exist, weak AI is used for applications like smart assistants, self-driving cars, and spam filters. The future of AI is uncertain but it has potential to transform many industries through automation and improved decision making. Challenges include the costs of development and potential job disruption.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
The document discusses artificial intelligence (AI) and its applications. It defines AI as the ability of computers to perform tasks usually requiring human intelligence. John McCarthy is identified as the father of AI, coining the term in 1955. AI is classified based on functionality into reactive machines, limited theory, theory of mind, and self-aware AI, and based on capabilities into artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document then outlines several applications of AI in areas such as e-commerce, education, lifestyle, navigation, robotics, human resources, healthcare, agriculture, gaming, automobiles, and social media. Finally, it lists the top 10 AI companies.
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and decision-making. The history of AI began in 1956 when the term was coined and the first conference was held. Notable developments include the first mobile robot in 1969, a chess-playing computer defeating a champion in 1997, and today's applications in areas like speech recognition, robotics, healthcare, and more. AI can be categorized into narrow, general, and super AI based on its capabilities. It provides advantages like more powerful computers and new problem-solving techniques but also faces challenges such as high costs and an inability to duplicate human creativity.
The document discusses artificial intelligence (AI), defining it as the simulation of human intelligence by machines. It outlines the principles of AI, including reasoning, knowledge, planning, learning and communication. It then discusses applications of AI in various fields such as healthcare, music, telecommunications, gaming, finance, business, and more. The document also covers the advantages and disadvantages of AI, as well as its growth and future prospects. It concludes by discussing how AI may change the world as its development and capabilities continue to increase exponentially.
The document discusses artificial intelligence (AI), including its definition, applications, advantages, disadvantages, growth, and future. It defines AI as simulating human intelligence through machines. Some key applications mentioned include using AI in healthcare for scheduling and providing medical information, and in fields like music composition. The growth of AI is expected to be exponential, especially in applications that are useful to society. Concerns about AI include increased costs and potential harms. The conclusion is that AI will significantly change the world as its development continues.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtificiMalikPinckney86
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxtoddr4
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the.
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. AI works by ingesting large amounts of labeled training data to analyze patterns and correlations and use these to make predictions. New AI techniques can generate realistic text, images, music and other media. The four main types of AI are reactive machines, those with limited memory, theory of mind, and self-awareness. AI is incorporated into automation, machine learning, machine vision, natural language processing, robotics, self-driving cars, and text, image and audio generation.
Addis abeb university ..Artificial intelligence .pptxethiouniverse
The document defines artificial intelligence as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses that AI is the creation of computer programs that can learn to think and function on their own. The document then provides examples of technologies that use AI, such as machine learning, robotics, and neural networks. It describes the different types of AI as artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document also outlines the history of AI and discusses its applications in various domains like agriculture, healthcare, business, and education.
What Is Artificial Intelligence,How It Is Used and Its Future.pdfMaazUmar3
What Is Artificial Intelligence,How It Is Used in now days and what is Its Future that help the humans also contain full history of artificial intelligence.
Discovery Series - Zero to Hero - Task Mining Session 1DianaGray10
This session is focused on providing you with an introduction to task mining. We will go over different types of task mining and provide you with a real-world demo on each type of task mining in detail.
How UiPath Discovery Suite supports identification of Agentic Process Automat...DianaGray10
📚 Understand the basics of the newly persona-based LLM-powered Agentic Process Automation and discover how existing UiPath Discovery Suite products like Communication Mining, Process Mining, and Task Mining can be leveraged to identify APA candidates.
Topics Covered:
💡 Idea Behind APA: Explore the innovative concept of Agentic Process Automation and its significance in modern workflows.
🔄 How APA is Different from RPA: Learn the key differences between Agentic Process Automation and Robotic Process Automation.
🚀 Discover the Advantages of APA: Uncover the unique benefits of implementing APA in your organization.
🔍 Identifying APA Candidates with UiPath Discovery Products: See how UiPath's Communication Mining, Process Mining, and Task Mining tools can help pinpoint potential APA candidates.
🔮 Discussion on Expected Future Impacts: Engage in a discussion on the potential future impacts of APA on various industries and business processes.
Enhance your knowledge on the forefront of automation technology and stay ahead with Agentic Process Automation. 🧠💼✨
Speakers:
Arun Kumar Asokan, Delivery Director (US) @ qBotica and UiPath MVP
Naveen Chatlapalli, Solution Architect @ Ashling Partners and UiPath MVP
Welcome to Cyberbiosecurity. Because regular cybersecurity wasn't complicated...Snarky Security
How wonderful it is that in our modern age, every bit of our biological data can be digitized, stored, and potentially pilfered by cyber thieves! Isn't it just splendid to think that while scientists are busy pushing the boundaries of biotechnology, hackers could be plotting the next big bio-data heist? This delightful scenario is brought to you by the ever-expanding digital landscape of biology and biotechnology, where the integration of computer science, engineering, and data science transforms our understanding and manipulation of biological systems.
While the fusion of technology and biology offers immense benefits, it also necessitates a careful consideration of the ethical, security, and associated social implications. But let's be honest, in the grand scheme of things, what's a little risk compared to potential scientific achievements? After all, progress in biotechnology waits for no one, and we're just along for the ride in this thrilling, slightly terrifying, adventure.
So, as we continue to navigate this complex landscape, let's not forget the importance of robust data protection measures and collaborative international efforts to safeguard sensitive biological information. After all, what could possibly go wrong?
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This document provides a comprehensive analysis of the security implications biological data use. The analysis explores various aspects of biological data security, including the vulnerabilities associated with data access, the potential for misuse by state and non-state actors, and the implications for national and transnational security. Key aspects considered include the impact of technological advancements on data security, the role of international policies in data governance, and the strategies for mitigating risks associated with unauthorized data access.
This view offers valuable insights for security professionals, policymakers, and industry leaders across various sectors, highlighting the importance of robust data protection measures and collaborative international efforts to safeguard sensitive biological information. The analysis serves as a crucial resource for understanding the complex dynamics at the intersection of biotechnology and security, providing actionable recommendations to enhance biosecurity in an digital and interconnected world.
The evolving landscape of biology and biotechnology, significantly influenced by advancements in computer science, engineering, and data science, is reshaping our understanding and manipulation of biological systems. The integration of these disciplines has led to the development of fields such as computational biology and synthetic biology, which utilize computational power and engineering principles to solve complex biological problems and innovate new biotechnological applications. This interdisciplinary approach has not only accelerated research and development but also introduced new capabilities such as gene editing and biomanufact
"Making .NET Application Even Faster", Sergey Teplyakov.pptxFwdays
In this talk we're going to explore performance improvement lifecycle, starting with setting the performance goals, using profilers to figure out the bottle necks, making a fix and validating that the fix works by benchmarking it. The talk will be useful for novice and seasoned .NET developers and architects interested in making their application fast and understanding how things work under the hood.
Develop Secure Enterprise Solutions with iOS Mobile App Development ServicesDamco Solutions
The security of enterprise apps should not be overlooked by organizations. Since these apps handle confidential finance/user data and business operations, ensuring greater security is crucial. That’s why, businesses should hire dedicated iOS mobile application development services providers for creating super-secured enterprise apps. By incorporating sophisticated security mechanisms, these developers make enterprise apps resistant to a range of cyber threats.
Content source - https://www.bizbangboom.com/articles/enterprise-mobile-app-development-with-ios-augmenting-business-security
Read more - https://www.damcogroup.com/ios-application-development-services
Mastering OnlyFans Clone App Development: Key Strategies for SuccessDavid Wilson
Dive into the critical elements of OnlyFans clone app development, from understanding user needs and designing engaging platforms to implementing robust monetization strategies and ensuring scalability. Discover how RichestSoft can guide you through the development process, offering expert insights and proven strategies to help you succeed in the competitive market of content monetization.
Latest Tech Trends Series 2024 By EY IndiaEYIndia1
Stay ahead of the curve with our comprehensive Tech Trends Series! Explore the latest technology trends shaping the world today, from the 2024 Tech Trends report and top emerging technologies to their impact on business technology trends. This series delves into the most significant technological advancements, giving you insights into both established and emerging tech trends that will revolutionize various industries.
Demystifying Neural Networks And Building Cybersecurity ApplicationsPriyanka Aash
In today's rapidly evolving technological landscape, Artificial Neural Networks (ANNs) have emerged as a cornerstone of artificial intelligence, revolutionizing various fields including cybersecurity. Inspired by the intricacies of the human brain, ANNs have a rich history and a complex structure that enables them to learn and make decisions. This blog aims to unravel the mysteries of neural networks, explore their mathematical foundations, and demonstrate their practical applications, particularly in building robust malware detection systems using Convolutional Neural Networks (CNNs).
Improving Learning Content Efficiency with Reusable Learning ContentEnterprise Knowledge
Enterprise Knowledge’s Emily Crockett, Content Engineering Consultant, presented “Improve Learning Content Efficiency with Reusable Learning Content” at the Learning Ideas conference on June 13th, 2024.
This presentation explored the basics of reusable learning content, including the types of reuse and the key benefits of reuse such as improved content maintenance efficiency, reduced organizational risk, and scalable differentiated instruction & personalization. After this primer on reuse, Crockett laid out the basic steps to start building reusable learning content alongside a real-life example and the technology stack needed to support dynamic content. Key objectives included:
- Be able to explain the difference between reusable learning content and duplicate content
- Explore how a well-designed learning content model can reduce duplicate content and improve your team’s efficiency
- Identify key tasks and steps in creating a learning content model
Keynote : Presentation on SASE TechnologyPriyanka Aash
Secure Access Service Edge (SASE) solutions are revolutionizing enterprise networks by integrating SD-WAN with comprehensive security services. Traditionally, enterprises managed multiple point solutions for network and security needs, leading to complexity and resource-intensive operations. SASE, as defined by Gartner, consolidates these functions into a unified cloud-based service, offering SD-WAN capabilities alongside advanced security features like secure web gateways, CASB, and remote browser isolation. This convergence not only simplifies management but also enhances security posture and application performance across global networks and cloud environments. Discover how adopting SASE can streamline operations and fortify your enterprise's digital transformation strategy.
Smart mobility refers to the integration of advanced technologies and innovative solutions to create efficient, sustainable, and interconnected transportation systems. It encompasses various aspects of transportation, including public transit, shared mobility services, intelligent transportation systems, electric vehicles, and connected infrastructure. Smart mobility aims to improve the overall mobility experience by leveraging data, connectivity, and automation to enhance safety, reduce congestion, optimize transportation networks, and minimize environmental impacts.
Finetuning GenAI For Hacking and DefendingPriyanka Aash
Generative AI, particularly through the lens of large language models (LLMs), represents a transformative leap in artificial intelligence. With advancements that have fundamentally altered our approach to AI, understanding and leveraging these technologies is crucial for innovators and practitioners alike. This comprehensive exploration delves into the intricacies of GenAI, from its foundational principles and historical evolution to its practical applications in security and beyond.
It's your unstructured data: How to get your GenAI app to production (and spe...Zilliz
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4. ARTIFICIAL INTELLIGENCE
ARTIFICIAL
INTELLIGENCE
Intelligence: “The capacity to learn and solve problems”
Artificial Intelligence: Artificial intelligence (AI) is the
simulation of human intelligence by machines.
• The ability to solve problems
• The ability to act rationally
• The ability to act like humans
5. • The artificial intelligence term was used in the year 1956, and the
concept was used from the year 1950, under the topics of problem
solving and symbolic methods.
• Artificial Intelligence is the branch of engineering & computer
science which deals with making of intelligent machines or systems
that can function intelligently and independently, especially intelligent
computer programs.
• Artificial Intelligence is the ability of a computer or a robotic
computer enabled system to process the given information and
produce outcomes in a manner similar to the attention process of
humans in learning, decision making, reasoning, self-correction and
solving problems. Artificial intelligence is becomes an essential part of
the technology industry. Research associated with artificial
intelligence is highly technical and specialized.
6. Year Milestone
1943 Neurons can do logical operations like “and”, “or” or “not”, when they
are connected as a network. This process was proved by Walter Pitts and
Warren McCulloch.
1951 First neuronal network, which solved a problem from the real world i.e.
SNARC (Stochastic Neural Analog, Reinforcement Computer) was by
Marvin Minsky.
1956 At Dartmouth college conference the term “Artificial Intelligence” was
coined.
1958 Perceptrons (neuronal networks that transmit information in one
direction) was created by the Frank Rosenblatt which is the origin for
todays AI progress.
1969 Minsky supported the symbolic representation of problems in his book -
“Perceptrons”.
Mile stones in the artificial intelligence process
7. Year Milestone
1974 -
1980
During this period, interest on AI was dropped, which is called as
“First AI Winter”.
1986 Back propagation algorithm design was developed by Georey Hinton
which is widely using in deep learning nowadays.
1987 -
1993
This phase is called as “AI winter”
1997 This year IBM Deep blue defeated the Garry Kasparov (Russian
grandmaster).
2013 Google used the British technology to perform efficient research on
photos.
2016 Google DeepMind, software AlphaGo defeated the Go Champion Lee
Sedol.
2016 Humanoid robot developed by Hong Kong based company Hanson
Robotics Sophia was activated on February 14, 2016
9. EARLY HISTORY
OF A.I.
1950 : “CAN MACHINES
THINK??????”
1956 : THE TERM
“ARTIFICIALINTELLIGENCE”
WAS FIRST INTRODUCED.
10. • Analyse Satellite
Images to identify
which areas have the
highest poverty level
• Gate allocationfor
plane while landing
• Tickt price
determination
• Companies are
creating robots to
teach subjects
A.I. FOR GOOD AVIATION EDUCATION
11. • Solving a variety of
problems of patients,
hospitals & healthcare
industry overall.
• Using Avatars in place of
patients.
• Robots have become
very common in many
industries
• Can do repetitive
laborious tasks
• Algorithmic Trading
• Market analysis &
data mining
• Personal Finance
• Portfolio management
HEALTH CARE HEAVY INDUSTRY FINANCE
12. • To develop algorithms that human use.
• Algorithms can require enormous
computational resources and problem
goes beyond a certain size
• Knowledge Representation :
To build machine with the capability
of making working assumption and
common sense.
13. • Planning :
In classical planning problems, the agent can
assume that it is the only system acting on the
world
Multi-agent planning uses the cooperation and
competition of many agents to achieve the
given goal.
• Learning :
Machine learning is the fundamental concept
of AI search.
Unsupervised learning is the ability to find
patterns in s stream of input
Supervised learning includes both
classification and numerical regression
14. To understand what artificial intelligence is, we need to know
how it works and what are the Subfields and components that make
machines work intelligently.
Speech Recognition
Humans can speak and listen to communicate through language; this is
the field of speech recognition. Since speech recognition is statistically
based, hence it’s called statistical learning.
Natural Language Processing
Humans can write and read the text in a language; this is the field of
NLP or natural language processing.
Working, Subfields and Components
15. Machine Vision
Humans can see with their eyes and process what they see; this is the
field of computer vision. Computer vision falls under the symbolic
way for computers to process information.
Moreover, they can recognize the surroundings around them
through their eyes which create images of that world. This field of
image processing which even though is not directly related to AI is
required for computer vision.
Robotics
Humans can understand their environment and move around
fluidly; this is the field of robotics.
Pattern Recognition
Humans can see patterns such as grouping of like objects; this is the
field of pattern recognition. Machines are even better at pattern
recognition because they can use more data and dimensions of data,
this is the field of machine learning.
16. Types of artificial intelligence:-
Artificial Intelligence is a wide-ranging concept and can be classified
into a number of ways. Based upon their caliber:-
1. Weak intelligence or Artificial narrow intelligence (ANI): This
system is designed and trained to perform a narrow task, such as facial
recognition, driving a car, playing chess, traffic signaling.
E.g.: Apple SIRI virtual personal assistance, tagging in social media.
2. Artificial General Intelligence (AGI) or Strong AI : It is also
called as Human Level AI. It has the ability to simplify human
intellectual abilities. Due to this, when it exposed to an unfamiliar task,
it has the ability to find the solution. AGI can perform all the things as
humans.
3. Artificial Super intelligence (ASI): It is a brain power, which is
more active than smart humans drawing, mathematics, space, etc; in
each and every field from science to art. It ranges from the computer
just little than the human to trillion times smarter than humans.
20. Drug discovery process
Health support and medication assistance
Attainment of in person and online consultation
Helping in repetitive jobs
Maintaining of medical records
Accuracy of medicine
Diagnostic and imaging sector
Competition & prizes
Automotive
Finance &Economics
Video games
Applications of Artificial Intelligence:
21. Health care application Representative company
AI Technology platform Key benefits
Analytics 4 life is pioneering digital
health using AI to develop a completely
new form of medical imaging. With an
initial focus on coronary artery disease
(CAD). It is a novel radiation free and
exercise free cardiac imaging
technology.
Physicians can noninvasively assess
the presence of significant CAD in a
single office visit without radiation,
exercise or pharmacological stressors
using physiologic signals naturally
emitted by the body.
By using this platform to cardiac phase
space tomography analysis (cPSTA) data
and paired coronary angiography results
it developed its initial product focused
on CAD.
Delivers an improved diagnostic solution
previously available only through
invasive, expensive tests providing
immediate and measurable benefits to
patients, payers and providers.
Intelligent diagnostics
22. Health care application Representative company
AI Technology platform Key benefits
It offers a machine intelligence software
platform, Topological data analysis
(TDA), that enables organizations to
analyze and build predictive models
using big data or highly dimensional data
sets.
It allow healthcare providers and
pharmaceutical companies to
automatically stratify complex data
and uncover relationships to optimize
patent care paths., procedures and
protocols for personalized medicine
leading to faster and more effective
outcomes.
The TDA platform draws on a range of
machine learning statistical and genomic
algorithms to combine and synthesize
them in accordance with the data.
Patient and provider data base
23. Health care application Representative company
AI Technology platform Key benefits
It uses it's advanced proprietary AI that
can be applied to manage publicly and
privately available noisy data.
Helps uncover valuable biology not
easily translated by the traditional
approaches enabling faster lead design
and candidate identification while
reducing development costs and
attrition rates.
It developed a technology that can
model most important absorption,
distribution, metabolism and excretion
properties in the drug development
process
Drug discovery process with
advanced analytics
24. Health care application Representative company
AI Technology platform Key benefits
It developed robotic assisted surgical
products with a platform that includes
advanced imaging, robotics, big data
management and machine learning to
provide advanced surgical tools and
capabilities to surgeons.
Expected to be only 20% the size of
and considerably less expensive than
current systems, while improving quality
of precision and patient outcomes
significantly.
Focus on improving and standardizing
the outcomes in challenging procedures
such as thoracic lobectomy, gastrectomy
and low anterior resection.
Medical devices and robotics
25. Health care application Representative company
AI Technology platform Key benefits
It uses AI to contextualize data
regarding a patient’s health status and
self management behavior to provide
early detection of potentially harmful
health events.
Significantly impacts health care
quality and cost by improving self-
management and enabling proactive
interventions.
At the core of Ibis platform lies Scio, an
AI brain which allows complex health
management via a continuous five-step
AI process including observation,
learning, discovering, anticipating and
prompting
With this system, upto 80% comply
with their care plan versus a control
50% norm.
Significantly reduces acute care
utilization.
Home health using A. I.
27. Error Reduction - Artificial Intelligence helps human beings to reduce the error
and increases the chance of reaching accuracy with more precision.
Daily Application - Artificial Intelligence is useful for the daily application
purpose. Everyone widely uses the GPS system, which is helpful in long Drives.
Digital Assistants - Artificial Intelligence systems ‘avatar’ which are models of
digital assistants are used by advanced organizations to reduce the need for human
resources. The avatars are free of emotional thinking, so they think logically and
take right decisions. Human emotions are generally associated with moods that
disturb the judgments and affect the human efficiency.
Repetitive Jobs & multi - tasking - Humans can do only one task at a time.
Machines can perform multi-tasking and can think faster than human beings.
Machines can perform dangerous tasks and their parameters can be adjusted i.e.
speed and time.
No Breaks - Humans can work 8 hours per day with 2 or 3 breaks. Unlike human
beings machines do not require frequent breaks and refreshment.
28. Medical Applications - Nowadays, the physicians are assessing the patients and
analyzing the health risks with the help of Artificial Intelligence. Artificial
Intelligence program is educating the physicians about various medicines and
their side effects. Training surgeons are gaining knowledge with the help of
simulators of artificial surgery. They are trained with the help of artificial surgery
simulators viz., brain simulation, heart simulation, GIT simulation etc.
No risk of harm - when human beings are working at the fire stations, if some
mishap happens, it causes harm to the personnel. While in the case of machines,
they don’t feel and have emotions. Also, If machines are broken, it is possible to
mantle the parts.
Act as aids - Machines which have AI technology can be used to serve children
with disability or the elders on a 24/7 basis. They act as a source for teaching and
learning. They are also useful in security alerting in fires, robbery in banks and in
difficult climatic conditions.
Limitless functions - Machines do not have any boundaries; they do everything
better than humans. They are emotionless, more efficient, more accurate and
provide more free time to us.
29. High cost
Decrease in demand for human labour
AI may be programmed to do somethingdevastating
Machine Ethics
Thestorage and access are not
as effective as human brains
No improvement with
experience
Disadvantages of A.I.
31. Improved speech, voice, image, video
recognition will change the way devices.
Personal assistants will become more
personal and context aware.
More and more systems will run
autonomously to a point
The positive impact AI research can
have on humanity, will start to be
across many walks of life - much of it
behind the scenes
32. CONCLUSION
A.I. is a common topic in both Science Fiction & Projection.
The future of Technology & society.
Rivals Human Intelligence.
Raises difficult Ethical Issues
33. A.I. Is like two edged sword, at one end they can solve
problems intelligently, at another end they pose a problem
themselves…. So we have to handle it properly.
I Am Good Or Bad ???
It’s Depends on who Created