The document provides a timeline and overview of key developments in algorithms, computing power, and data that have driven progress in artificial intelligence. Some of the major developments include:
- The development of early machine learning algorithms like the perceptron in the 1950s and backpropagation in the 1980s.
- Exponential growth in computing power outlined by Moore's Law, enabling powerful systems like Deep Blue and advances in GPUs.
- Explosive growth of data from the rise of the internet and smartphones, including landmarks like the World Wide Web and YouTube.
- Recent technologies like MapReduce, Hadoop, Spark, and cloud computing that can handle massive datasets and power modern deep learning models.
Nikolai Tesla predicted in 1926 that wireless technology would allow the entire earth to function like a brain through connected devices. This vision has come true with the rise of devices that constantly emit data. The Internet of Things (IOT) connects billions of devices each generating vast amounts of machine data that exceeds human-generated data by 1000x. By 2020 there will be 30 billion connected devices creating over 50 trillion gigabytes of data annually. IOT has the potential to transform every industry by unlocking new opportunities in healthcare, lifestyle, work, energy, entertainment and more through real-time data analytics.
Nikolai Tesla predicted in 1926 that wireless technology would allow the entire earth to function like a brain through connected devices. This vision has come true with the rise of devices that constantly emit data. The Internet of Things (IOT) connects billions of devices each generating vast amounts of machine data that exceeds human-generated data by 1000x. By 2020 there will be 30 billion connected devices creating over 50 trillion gigabytes of data annually. IOT has the potential to transform every industry by unlocking new opportunities in healthcare, lifestyle, work, energy, entertainment and more through real-time data analytics.
Introduction to computer science cs110 - pdfSaqib Imran
The document provides a detailed history of the development of computers from the 1800s to present day. It describes early mechanical calculating devices, followed by the first modern computers in the 1940s that used vacuum tubes. Major developments included the stored program concept in the late 1940s, the first commercial computer in 1951, and the introduction of transistors replacing vacuum tubes in the 1950s. The document then outlines the main generations of computers defined by their internal components and technologies.
Module 1 Introduction to Big and Smart Data- Online caniceconsulting
This document provides an overview of big and smart data. It begins with a brief history of data, from tally sticks used by early humans to track supplies to modern digital storage. It then defines the key terms "big data" and "smart data," and explains how big data can be transformed into smart data through analysis. The document aims to help readers understand the emerging role of data, classify different types of data, and know how to start using data intelligently.
Brief History Of Computer. The computer as we know it today had its beginning with a 19th century English mathematics professor name Charles Babbage. He designed the Analytical Engine and it was this design that the basic framework of the computers of today are based on. ... It was called the Atanasoff-Berry Computer (ABC) .
Many believe Big Data is a brand new phenomenon. It isn't, it is part of an evolution that reaches far back history. Here are some of the key milestones in this development.
This document provides a brief history of the evolution of computers from the 1930s to present day. It describes some of the earliest electronic digital computers like the ABC and Z3 and how they were used. It then outlines the development of Colossus, the Mark I, ENIAC, and EDVAC and notes technological advances like stored programs. Later sections discuss the first commercial computer UNIVAC I and large systems like SAGE. The document concludes by mentioning the development of transistors, microprocessors, GUIs, and advances like Deep Blue, virtual reality, robots like ASIMO, and the future of computing.
Nikolai Tesla predicted in 1926 that wireless technology would allow the entire earth to function like a brain through connected devices. This vision has come true with the rise of devices that constantly emit data. The Internet of Things (IOT) connects billions of devices each generating vast amounts of machine data that exceeds human-generated data by 1000x. By 2020 there will be 30 billion connected devices creating over 50 trillion gigabytes of data annually. IOT has the potential to transform every industry by unlocking new opportunities in healthcare, lifestyle, work, energy, entertainment and more through real-time data analytics.
Nikolai Tesla predicted in 1926 that wireless technology would allow the entire earth to function like a brain through connected devices. This vision has come true with the rise of devices that constantly emit data. The Internet of Things (IOT) connects billions of devices each generating vast amounts of machine data that exceeds human-generated data by 1000x. By 2020 there will be 30 billion connected devices creating over 50 trillion gigabytes of data annually. IOT has the potential to transform every industry by unlocking new opportunities in healthcare, lifestyle, work, energy, entertainment and more through real-time data analytics.
Introduction to computer science cs110 - pdfSaqib Imran
The document provides a detailed history of the development of computers from the 1800s to present day. It describes early mechanical calculating devices, followed by the first modern computers in the 1940s that used vacuum tubes. Major developments included the stored program concept in the late 1940s, the first commercial computer in 1951, and the introduction of transistors replacing vacuum tubes in the 1950s. The document then outlines the main generations of computers defined by their internal components and technologies.
Module 1 Introduction to Big and Smart Data- Online caniceconsulting
This document provides an overview of big and smart data. It begins with a brief history of data, from tally sticks used by early humans to track supplies to modern digital storage. It then defines the key terms "big data" and "smart data," and explains how big data can be transformed into smart data through analysis. The document aims to help readers understand the emerging role of data, classify different types of data, and know how to start using data intelligently.
Brief History Of Computer. The computer as we know it today had its beginning with a 19th century English mathematics professor name Charles Babbage. He designed the Analytical Engine and it was this design that the basic framework of the computers of today are based on. ... It was called the Atanasoff-Berry Computer (ABC) .
Many believe Big Data is a brand new phenomenon. It isn't, it is part of an evolution that reaches far back history. Here are some of the key milestones in this development.
This document provides a brief history of the evolution of computers from the 1930s to present day. It describes some of the earliest electronic digital computers like the ABC and Z3 and how they were used. It then outlines the development of Colossus, the Mark I, ENIAC, and EDVAC and notes technological advances like stored programs. Later sections discuss the first commercial computer UNIVAC I and large systems like SAGE. The document concludes by mentioning the development of transistors, microprocessors, GUIs, and advances like Deep Blue, virtual reality, robots like ASIMO, and the future of computing.
IBM was formed in 1911 through the merger of three companies involved in data processing and recording equipment. Thomas Watson Sr. took over the new Computing-Tabulating-Recording Company (CTR) and changed its name to International Business Machines (IBM) in 1924. Under Watson's leadership, IBM pioneered many innovations in computing and became the world's largest computer company through the 20th century. Today, IBM continues to develop new technologies while maintaining its position as a global leader in enterprise IT.
Advances in chip density led to programmable calculators like the HP-65, creating the first consumer market for logic chips. This unleashed creative forces among users and led to the rise of "hacker culture" and user groups, showing computing was becoming mainstream. Gordon Moore noted transistors on chips doubled every year, enabling the 1971 microprocessor. Hobbyists played a key role developing systems using microprocessors, inspiring innovations like floppy disks and BASIC to fit in small memory. This era brought software to the forefront over hardware as the driving force of computing.
This document discusses big data and the challenges of working with large datasets. It notes that every 2 days now as much data is created as was created from the beginning of civilization until 2003. The Hadoop ecosystem, including tools like MapReduce and machine learning, are proposed solutions for analyzing large and diverse datasets, but challenges remain around usability, speed of analysis, and finding new applications beyond web logs.
The history of computers spans from ancient times to modern computers. Early devices like the abacus were used for calculations. In the 17th century, pioneering mathematicians and engineers began building mechanical calculating machines. Charles Babbage designed the Analytical Engine in the 1830s, considered a precursor to modern computers. Herman Hollerith developed punched cards for census data in the late 19th century. During World War II, electronic digital computers were developed using vacuum tubes, laying the foundations for stored-program computers and the first general-purpose electronic computers like ENIAC. Over generations, computers transitioned to newer technologies like transistors, integrated circuits, and microprocessors.
The document provides an overview of the history of computing from the 1940s to the 1970s. It discusses key events and technologies such as the development of ENIAC, stored program computers, the birth of software and programming languages like FORTRAN and COBOL. It also covers the rise of IBM mainframes, the development of minicomputers by companies like DEC, and the impact of integrated circuits on computing technology.
The document provides a timeline of major events and innovations in computing history from 1937 to 2012, including the development of early calculators and computers, major advances like the introduction of the microprocessor and personal computers, and ongoing work on supercomputers. Key milestones include George Stibitz's demonstration adder in 1937, the completion of the Atanasoff-Berry Computer in 1942, the introduction of the IBM 650 in 1953, the release of the Apple iPhone in 2007, and the launch of the Raspberry Pi project in 2012.
This document provides a history of the development of computers from ancient counting devices like the abacus to modern electronic computers. Some key developments include:
- Charles Babbage conceived of the first general-purpose programmable computer in the 1830s-1840s, though it was never completed.
- In the 1940s and 1950s, electronic digital computers were developed using vacuum tubes, including the ENIAC and UNIVAC.
- The transistor was invented in 1947, replacing vacuum tubes and leading to smaller, more reliable machines.
- Integrated circuits were developed in the late 1950s, allowing computers to become smaller yet while maintaining processing power.
- The microprocessor was invented in 1971,
This document provides a 3-page summary of the history of computation from antiquity to modern times. It discusses early mechanical computers like the ancient Greek Antikythera mechanism and abacuses. It then covers the development of programming languages and computers through figures like Babbage, Turing, and von Neumann. It describes early digital computers in the 1940s-50s and the development of semiconductors, microprocessors, and personal computers in subsequent decades.
This document provides a history of the development of computer systems from ancient times using the abacus up until the late 1990s. It describes early mechanical calculating devices like Napier's Bones in the 1600s and Pascal's calculator in the 1670s. Major developments included Babbage's Analytical Engine in the 1830s, Herman Hollerith's tabulating machine in the late 1800s which was used for the 1890 US Census, and the first general purpose electronic computers like ENIAC, EDVAC, and UNIVAC in the 1940s and 1950s. The development of integrated circuits and microprocessors in the 1970s led to the creation of personal computers in the late 1970s and 1980s from companies like
You're traveling through another dimension, a dimension not only of sight and sound but of data; a journey into a wondrous land whose boundaries are that of the imagination. In this talk we will learn the relationship between Big Data, Artificial Intelligence, and Augmented Reality. We'll discuss the past, present and futures of these technologies to determine if we are heading towards paradise or into the twilight zone.
The document discusses the growth of digital information from the 1940s to present day. It notes that the amount of digital data created annually is growing exponentially and is expected to increase six-fold every four years. However, only a small percentage of total organizational data is structured in a way that is easily usable by computers, while the majority remains unstructured like documents, photos and videos. Ensuring high quality information through accurate tagging, metadata, and reducing errors is important for effectively managing both structured and unstructured data.
This document provides a brief history of computers from ancient times to the development of mainframes. It discusses early mechanical calculating devices like the abacus and slide rule. It then covers the development of mechanical computers in the 17th-18th centuries and early electromechanical computers. A key focus is the development of programmable computers in the 1940s, including ENIAC, EDSAC, and the work of pioneers like Turing. The document concludes with the transition to transistor-based computers in the 1950s.
The document discusses the history and uses of computers. It notes that while German inventor Konrad Zuse is considered the inventor of the computer, the earliest computers were developed in the 1940s in the USA and UK and filled entire rooms. Now computers are small enough to fit in the palm of our hands. Computers are used for almost all tasks across many fields from communication to education. They are able to perform complex calculations quickly and help control machines and aircraft when programmed. Computers also allow vast information storage and retrieval, and many modern systems would not function without them.
The first computers were human beings who performed complex calculations manually. The abacus was one of the earliest aids for mathematical computations. In the 1600s, inventors like Blaise Pascal and Charles Babbage began developing early mechanical calculators to reduce human error and speed up calculations. During World War 2, the U.S. military funded research into programmable electromechanical computers like the Harvard Mark I to compute ballistics firing tables faster than human computers could. The microelectronics revolution later allowed integrated circuits to replace wired components and enabled the mass production of computers.
The concept of GIS was first introduced in the early 1960s, and it was subsequently researched and developed as a new discipline. The GIS history views Roger Tomlinson as a pioneer of the concept, where the first iteration was designed to store, collate, and analyze data about land usage in Canada.
The document discusses several potential implications for the next 100 years based on current trends, including:
1) The magnetosphere may weaken in 500 years and no longer protect life on Earth, making plans to leave Earth important.
2) Carbon dioxide levels could reach 1000 ppm, triggering a runaway greenhouse effect that kills planetary life.
3) Future technologies like artificial intelligence and robotics may create synergies but also replace many jobs, requiring a basic guaranteed income.
4) Emerging technologies like nanotechnology, synthetic biology, and artificial intelligence will interact in complex and unpredictable ways that could transform civilization.
Technologies Changing Industrial Park Requirements and Collective Intelligenc...Jerome Glenn
Technologies are changing the requirements for industrial parks and collective intelligence systems can help anticipate future changes. As artificial intelligence, computational sciences, and other emerging technologies converge their capabilities will greatly accelerate progress beyond what any single technology can achieve alone based on Moore's law. This will change what is possible and require new thinking about the future of work, economics, and how industrial parks can support tenants through consulting, maker hubs, industrial ecology networks, and collective intelligence systems.
This document provides a history of GIS from 1975 to 2011, focusing on key developments, technologies, contributors and events. It covers the commercialization of GIS starting in the late 1970s, the development of early GIS software and technologies by Esri and others, as well as significant advances in related fields like computer processing and the internet that influenced GIS. The document is intended as an informal timeline and overview, rather than an authoritative historical account.
The document provides a history of computers from ancient times to the development of mainframes. It discusses early mechanical calculating devices like the abacus and slide rule. Important early pioneers mentioned include Pascal, Leibniz, Babbage, and Ada Lovelace. The first digital computers used vacuum tubes and were developed during World War II like the Colossus and ENIAC. The stored program concept was developed by von Neumann. Transistors replaced vacuum tubes and ushered in smaller mainframe computers. Pioneers like Turing, Hopper, and Zuse made important contributions to the field.
The document provides a detailed history of computing from ancient civilizations through the present day. It describes the early developments in logic and mathematics by ancient Greeks, Egyptians, Babylonians and others. Major milestones included Pascal's mechanical calculator in the 1600s, Babbage's analytical engine design in the 1830s-40s, Hollerith's census tabulating machines in the 1880s, and the first general purpose programmable computers developed during World War II like the Mark 1, ENIAC and Colossus. The document then outlines the major generations of computing technology from vacuum tubes and transistors to integrated circuits and personal computers.
The Most Amazing Artificial Intelligence Milestones So FarBernard Marr
Artificial Intelligence is everywhere, and sometimes it feels like something that has just emerged out of nothing. Here we look at the key milestones in the journey towards AI.
This document provides a history of artificial intelligence from its early origins to modern deep learning techniques. It discusses pioneers in AI research such as Charles Babbage, Alan Turing, and the development of neural networks. Key events outlined include the birth of AI in the 1950s, the AI winter of the 1970s-1990s, and the AI spring powered by advances in deep learning starting in the late 1980s using neural networks. The document also provides a high-level overview of IBM's AI products and platforms.
IBM was formed in 1911 through the merger of three companies involved in data processing and recording equipment. Thomas Watson Sr. took over the new Computing-Tabulating-Recording Company (CTR) and changed its name to International Business Machines (IBM) in 1924. Under Watson's leadership, IBM pioneered many innovations in computing and became the world's largest computer company through the 20th century. Today, IBM continues to develop new technologies while maintaining its position as a global leader in enterprise IT.
Advances in chip density led to programmable calculators like the HP-65, creating the first consumer market for logic chips. This unleashed creative forces among users and led to the rise of "hacker culture" and user groups, showing computing was becoming mainstream. Gordon Moore noted transistors on chips doubled every year, enabling the 1971 microprocessor. Hobbyists played a key role developing systems using microprocessors, inspiring innovations like floppy disks and BASIC to fit in small memory. This era brought software to the forefront over hardware as the driving force of computing.
This document discusses big data and the challenges of working with large datasets. It notes that every 2 days now as much data is created as was created from the beginning of civilization until 2003. The Hadoop ecosystem, including tools like MapReduce and machine learning, are proposed solutions for analyzing large and diverse datasets, but challenges remain around usability, speed of analysis, and finding new applications beyond web logs.
The history of computers spans from ancient times to modern computers. Early devices like the abacus were used for calculations. In the 17th century, pioneering mathematicians and engineers began building mechanical calculating machines. Charles Babbage designed the Analytical Engine in the 1830s, considered a precursor to modern computers. Herman Hollerith developed punched cards for census data in the late 19th century. During World War II, electronic digital computers were developed using vacuum tubes, laying the foundations for stored-program computers and the first general-purpose electronic computers like ENIAC. Over generations, computers transitioned to newer technologies like transistors, integrated circuits, and microprocessors.
The document provides an overview of the history of computing from the 1940s to the 1970s. It discusses key events and technologies such as the development of ENIAC, stored program computers, the birth of software and programming languages like FORTRAN and COBOL. It also covers the rise of IBM mainframes, the development of minicomputers by companies like DEC, and the impact of integrated circuits on computing technology.
The document provides a timeline of major events and innovations in computing history from 1937 to 2012, including the development of early calculators and computers, major advances like the introduction of the microprocessor and personal computers, and ongoing work on supercomputers. Key milestones include George Stibitz's demonstration adder in 1937, the completion of the Atanasoff-Berry Computer in 1942, the introduction of the IBM 650 in 1953, the release of the Apple iPhone in 2007, and the launch of the Raspberry Pi project in 2012.
This document provides a history of the development of computers from ancient counting devices like the abacus to modern electronic computers. Some key developments include:
- Charles Babbage conceived of the first general-purpose programmable computer in the 1830s-1840s, though it was never completed.
- In the 1940s and 1950s, electronic digital computers were developed using vacuum tubes, including the ENIAC and UNIVAC.
- The transistor was invented in 1947, replacing vacuum tubes and leading to smaller, more reliable machines.
- Integrated circuits were developed in the late 1950s, allowing computers to become smaller yet while maintaining processing power.
- The microprocessor was invented in 1971,
This document provides a 3-page summary of the history of computation from antiquity to modern times. It discusses early mechanical computers like the ancient Greek Antikythera mechanism and abacuses. It then covers the development of programming languages and computers through figures like Babbage, Turing, and von Neumann. It describes early digital computers in the 1940s-50s and the development of semiconductors, microprocessors, and personal computers in subsequent decades.
This document provides a history of the development of computer systems from ancient times using the abacus up until the late 1990s. It describes early mechanical calculating devices like Napier's Bones in the 1600s and Pascal's calculator in the 1670s. Major developments included Babbage's Analytical Engine in the 1830s, Herman Hollerith's tabulating machine in the late 1800s which was used for the 1890 US Census, and the first general purpose electronic computers like ENIAC, EDVAC, and UNIVAC in the 1940s and 1950s. The development of integrated circuits and microprocessors in the 1970s led to the creation of personal computers in the late 1970s and 1980s from companies like
You're traveling through another dimension, a dimension not only of sight and sound but of data; a journey into a wondrous land whose boundaries are that of the imagination. In this talk we will learn the relationship between Big Data, Artificial Intelligence, and Augmented Reality. We'll discuss the past, present and futures of these technologies to determine if we are heading towards paradise or into the twilight zone.
The document discusses the growth of digital information from the 1940s to present day. It notes that the amount of digital data created annually is growing exponentially and is expected to increase six-fold every four years. However, only a small percentage of total organizational data is structured in a way that is easily usable by computers, while the majority remains unstructured like documents, photos and videos. Ensuring high quality information through accurate tagging, metadata, and reducing errors is important for effectively managing both structured and unstructured data.
This document provides a brief history of computers from ancient times to the development of mainframes. It discusses early mechanical calculating devices like the abacus and slide rule. It then covers the development of mechanical computers in the 17th-18th centuries and early electromechanical computers. A key focus is the development of programmable computers in the 1940s, including ENIAC, EDSAC, and the work of pioneers like Turing. The document concludes with the transition to transistor-based computers in the 1950s.
The document discusses the history and uses of computers. It notes that while German inventor Konrad Zuse is considered the inventor of the computer, the earliest computers were developed in the 1940s in the USA and UK and filled entire rooms. Now computers are small enough to fit in the palm of our hands. Computers are used for almost all tasks across many fields from communication to education. They are able to perform complex calculations quickly and help control machines and aircraft when programmed. Computers also allow vast information storage and retrieval, and many modern systems would not function without them.
The first computers were human beings who performed complex calculations manually. The abacus was one of the earliest aids for mathematical computations. In the 1600s, inventors like Blaise Pascal and Charles Babbage began developing early mechanical calculators to reduce human error and speed up calculations. During World War 2, the U.S. military funded research into programmable electromechanical computers like the Harvard Mark I to compute ballistics firing tables faster than human computers could. The microelectronics revolution later allowed integrated circuits to replace wired components and enabled the mass production of computers.
The concept of GIS was first introduced in the early 1960s, and it was subsequently researched and developed as a new discipline. The GIS history views Roger Tomlinson as a pioneer of the concept, where the first iteration was designed to store, collate, and analyze data about land usage in Canada.
The document discusses several potential implications for the next 100 years based on current trends, including:
1) The magnetosphere may weaken in 500 years and no longer protect life on Earth, making plans to leave Earth important.
2) Carbon dioxide levels could reach 1000 ppm, triggering a runaway greenhouse effect that kills planetary life.
3) Future technologies like artificial intelligence and robotics may create synergies but also replace many jobs, requiring a basic guaranteed income.
4) Emerging technologies like nanotechnology, synthetic biology, and artificial intelligence will interact in complex and unpredictable ways that could transform civilization.
Technologies Changing Industrial Park Requirements and Collective Intelligenc...Jerome Glenn
Technologies are changing the requirements for industrial parks and collective intelligence systems can help anticipate future changes. As artificial intelligence, computational sciences, and other emerging technologies converge their capabilities will greatly accelerate progress beyond what any single technology can achieve alone based on Moore's law. This will change what is possible and require new thinking about the future of work, economics, and how industrial parks can support tenants through consulting, maker hubs, industrial ecology networks, and collective intelligence systems.
This document provides a history of GIS from 1975 to 2011, focusing on key developments, technologies, contributors and events. It covers the commercialization of GIS starting in the late 1970s, the development of early GIS software and technologies by Esri and others, as well as significant advances in related fields like computer processing and the internet that influenced GIS. The document is intended as an informal timeline and overview, rather than an authoritative historical account.
The document provides a history of computers from ancient times to the development of mainframes. It discusses early mechanical calculating devices like the abacus and slide rule. Important early pioneers mentioned include Pascal, Leibniz, Babbage, and Ada Lovelace. The first digital computers used vacuum tubes and were developed during World War II like the Colossus and ENIAC. The stored program concept was developed by von Neumann. Transistors replaced vacuum tubes and ushered in smaller mainframe computers. Pioneers like Turing, Hopper, and Zuse made important contributions to the field.
The document provides a detailed history of computing from ancient civilizations through the present day. It describes the early developments in logic and mathematics by ancient Greeks, Egyptians, Babylonians and others. Major milestones included Pascal's mechanical calculator in the 1600s, Babbage's analytical engine design in the 1830s-40s, Hollerith's census tabulating machines in the 1880s, and the first general purpose programmable computers developed during World War II like the Mark 1, ENIAC and Colossus. The document then outlines the major generations of computing technology from vacuum tubes and transistors to integrated circuits and personal computers.
The Most Amazing Artificial Intelligence Milestones So FarBernard Marr
Artificial Intelligence is everywhere, and sometimes it feels like something that has just emerged out of nothing. Here we look at the key milestones in the journey towards AI.
This document provides a history of artificial intelligence from its early origins to modern deep learning techniques. It discusses pioneers in AI research such as Charles Babbage, Alan Turing, and the development of neural networks. Key events outlined include the birth of AI in the 1950s, the AI winter of the 1970s-1990s, and the AI spring powered by advances in deep learning starting in the late 1980s using neural networks. The document also provides a high-level overview of IBM's AI products and platforms.
The document discusses the history and development of the Internet. It began as a US military network called ARPANET in the 1960s and expanded to connect universities. The first email program and domain name system were introduced in the 1970s. Tim Berners-Lee invented the World Wide Web in 1991 using HTTP and browsers. The number of Internet users exploded from the mid-1990s onward, reaching billions by the 2010s. Web 2.0 democratized the Internet through user-generated content and social media. The document outlines future challenges like cloud computing, big data, and the Internet of Things.
History of AI - Presentation by Sanjay KumarSanjay Kumar
Join AI Shorts For Such Contents - https://lnkd.in/gpyzTpa2
Exponential growth of ChatGPT didn't happen in a day. AI Winter - The time when funding went dry, no corporate was ready to do any further development on AI or related stuff etc happened twice.
Started with Alan Turing question in 1956 "Can Machine Think?" and a conference at Dartmouth where John McCarthy coined "AI" and set the goals of AI. Arthur Samuel wrote a program that learnt to play Chinese Checker and popularise ML.
We are progressing at such a speed that we need to create a governing body "OpenAI" to make sure autonomous system don't hurt us back.
History of Artificial Intelligence (AI) from birth till date (2023).
Covers all the important events happened in due course of time with the AI Winter period.
The document provides an introduction to artificial intelligence (AI) and its history. It defines key AI terms like artificial intelligence, machine learning, and deep learning. It explains how deep learning helps solve limitations of classic machine learning by determining representations of data. The summary highlights major developments in AI history including early algorithms, expert systems, neural networks, and breakthroughs with deep learning starting in 2006. It differentiates modern AI using deep learning from prior approaches and provides examples of AI applications.
The document provides a history of computers from ancient counting devices like the abacus to modern computers. It describes inventions like the Pascaline adding machine in 1642, Charles Babbage's analytical engine in 1833, Howard Aiken's Mark 1 in 1944, the ENIAC in 1946, the first transistor in 1948, the Altair kit computer in 1975, the IBM PC in 1981, and the Macintosh in 1984. It also provides overviews of different types of computers including PCs, workstations, mini computers, mainframes, and supercomputers. The document outlines the basic functions and advantages of computers as well as some disadvantages.
Biodata Congress Databiology Key Note PresentationGeorges Heiter
The document discusses the role of automation in accelerating scientific discovery. It outlines how automation has evolved from early mechanized devices to modern digital technologies. The current state of research still involves heavy manual work, but building a "digital overlay" that captures metadata can enable more intelligent automation. This would allow machines to automate routine tasks, freeing researchers to focus on higher-level work and gaining insights at a lower cost.
Alan Turing first proposed the concept of artificial intelligence in 1950 and suggested computers could be taught to solve problems like humans. Early AI research was limited by computers' inability to store commands and programs. In the 1950s, the Logic Theorist program demonstrated rudimentary problem-solving skills. Advances in computing power and the introduction of machine learning algorithms and expert systems expanded AI research from the 1950s-1980s. Deep learning techniques in the 1980s and availability of neural networks in the 2000s enabled computers to learn from experience and tackle complex tasks in areas like language processing and computer vision.
The document discusses a senior design project from 1970 where the author created a limited assembler for the GE-235 computer. It then provides the author's background and experience working with early computer systems from the 1960s through today. Key lessons discussed include understanding user needs, allowing for growth and change using Moore's Law, managing expectations through the Gartner Hype Cycle, and an iterative design process of testing, fixing, and retesting.
Top 10-recent-invention-of-science-without-videomsnsela
We humans are ingenious groups in this world. Right from the moment when someone rubbed two stones to light a fire, or bashed a rock to make the first tool, to the development of Internet and Mars rovers, we have already made some revolutionary advancements in several areas of science and technology. Beginning from a nail or a wheel to compass and to millions of new things that were never seen or felt before is a pure magic with their ability to improve the quality of life and advancement in human lives. Let us look at the top 10 greatest modern inventions.
Quantum Computing in Financial Services - Executive SummaryMEDICI Inner Circle
MEDICI’s 'Quantum Computing in Financial Services' report, a deep dive into the impact of Quantum Computing on the financial services sector, highlights key players in the ecosystem across hardware, software, and services, discusses the adoption of Quantum Computing by the financial services industry, and analyzes collaborative efforts exploring its early use cases in financial services.
Quantum Computing in Financial Services Executive SummaryMEDICI Inner Circle
The ‘Quantum Computing in Financial Services’ report is an in-depth analysis of Quantum Computing and its applicability and impact on financial services. The report highlights key players in the ecosystem across hardware, software, and services, discusses the adoption of Quantum Computing by the financial services industry, and analyzes collaborative efforts exploring its early use cases in financial services.
This document discusses the application of parallel computing in artificial intelligence. It begins with an introduction to AI, including its definition and history. It then discusses how parallel computing is used in AI training through techniques like data parallelism and pipeline parallelism. This allows datasets to be distributed across multiple GPUs for faster training. The document also outlines several applications of AI in fields like computer vision, autonomous vehicles, natural language processing and audio processing. Finally, it concludes that GPU parallel computing has driven growth in the AI industry by enabling complex deep learning models to be trained on large datasets. Parallel computing was key to advances in AI.
This document discusses how advancements in areas like artificial intelligence (AI), the Internet of Things (IoT), sensors, robotics, and quantum computing could lead to breakthroughs for corporations. It notes that there have been recent progress in algorithms, big data, mobile technology, and more. While AI was first studied in 1947, the document questions if now is the time for companies to fully invest in AI. It also asks if we have reached "AI 3.0". Across multiple pages, the document then explores topics like the definition of intelligence, different approaches to AI, applications of robotics, and challenges and opportunities in developing intelligent machines.
The document provides a brief history of the development of the Internet from 1969 to 2001. It describes key events and inventions such as ARPANET in 1969, the development of Ethernet in 1976, the creation of TCP/IP and other internet protocols in 1983, the release of the World Wide Web in 1992, the commercialization of the internet in the mid-1990s, and the internet boom of 1999-2001. The summary also mentions some of the major players involved including Al Gore, Steve Jobs, Bill Gates, and companies like AOL.
This chapter discusses the history and evolution of computers from early pioneers like Charles Babbage and Alan Turing to modern devices. It outlines the major types of computers in use today like PCs, servers, mainframes and describes how they are applied. The chapter also explains how the internet has transformed computing through email, the world wide web and online communities. It concludes by discussing some social and ethical impacts of information technology on privacy, security, work and society.
Big Data Business InnovationsBased on Infinity and Permanence
1. The Computer Newspaper (e.g. Craigslist)
2. Infinite Spreadsheet (IS) Decision Center
(Big Data are the inputs and the outputs of IS.)
3. Universal Permanent Number (UPN)
4. UPN Self-Checkout
5. UPN Machine Translation
6. UPN Search
7. UPN DNA Sequencing
8. Universal Permanent Device
9. Self-generating Neural Network (deep AI)
10. Self-manufactured General-Purpose Robot
(Adept, DAI unsuccessful competing w/ humans)
The document discusses the five generations of computers from the first generation using vacuum tubes to the current fifth generation using artificial intelligence. Each generation saw improvements in the technology used, resulting in computers that were smaller, faster, more powerful and efficient. The first generation used vacuum tubes, the second used transistors, the third used integrated circuits, the fourth used microprocessors, and the fifth generation incorporates artificial intelligence and parallel processing. Each generation saw major advancements in both hardware and software capabilities.
- Acronis is a global leader in cyber protection with over 5.5 million prosumers and $250 million in revenue. It has dual headquarters in Switzerland and Singapore.
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- A new research university called SIT is proposed to address global challenges through technology and innovation in areas like cybersecurity, AI, quantum technologies and new materials. It will be located in Schaffhausen, Switzerland near the Rhein Falls and partner with top universities
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