Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the moble market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 5 billion unique mobile phone subscriptions in the world and of them about 2.5 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the mobile market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the mobile market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialisation of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the moble market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 5 billion unique mobile phone subscriptions in the world and of them about 2.5 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the mobile market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the mobile market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialisation of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The normal interaction with computers is with keyboard and a mouse. For display a rectangular somewhat small screen is used with 2D windowing systems. The mouse was invented more the 40 years ago and has been for 20 years dominant input. Now we are seeing new types of input devices. Multi-touch adds new dimensions and new applications. Natural user interfaces or gesture interfaces where people point to drag objects. Computers are also beginning to recognize facial expressions of people, so it knows if you are smiling. Voice and natural language understanding is getting to a usable stage. All this calls all types of new applications.
Displays are getting bigger. What if any surface was a screen? If you could spray the wall with screen? Or have you phone project images to the wall.
This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power increased. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of algorithms or software, and see how our business theories apply.
In the second part we look at where software is going, namely Artificial Intelligence. Resent developments in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 bilion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the moble market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power incresed. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh. In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In the second part we look at where software is going, namely Artifical Intelligence. Resent developmens in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
In this presentation, we will identify and pay tribute to several of the people who .... been having grand ideas but has never seen them through to completed projects. ... But possess the technical ... the first node on the ARPANET, and the first computer ever on the Internet.
Each month we select a topic then trawl the trove of Slideshare to find the best presentations and explanation of the topics we advocate for. Sometimes the material will be dry, heavy and other times the presentation might be a pretty dam fine bit of art. This month we have concentrated on Privacy.
Chapter 11 of a university course in media history by Prof. Bill Kovarik, based on the book Revolutions in Communication: Media History from Gutenberg to the Digital Age (Bloomsbury, 2nd ed., 2015).
A Brief History of Computation’s in Portugaljournal ijrtem
: A history of the great development of information technology in the twentieth century, at a
global level. The story of the emergence and development of information technology in Portugal, also in the
twentieth century, is highlighted.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realised until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
We will also talk about Assignment 2 and the Goas and Outline.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
The normal interaction with computers is with keyboard and a mouse. For display a rectangular somewhat small screen is used with 2D windowing systems. The mouse was invented more the 40 years ago and has been for 20 years dominant input. Now we are seeing new types of input devices. Multi-touch adds new dimensions and new applications. Natural user interfaces or gesture interfaces where people point to drag objects. Computers are also beginning to recognize facial expressions of people, so it knows if you are smiling. Voice and natural language understanding is getting to a usable stage. All this calls all types of new applications.
Displays are getting bigger. What if any surface was a screen? If you could spray the wall with screen? Or have you phone project images to the wall.
This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power increased. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of algorithms or software, and see how our business theories apply.
In the second part we look at where software is going, namely Artificial Intelligence. Resent developments in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 4.7 billion unique mobile phone subscriptions in the world and of them about 2 bilion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the moble market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power incresed. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh. In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In the second part we look at where software is going, namely Artifical Intelligence. Resent developmens in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
In this presentation, we will identify and pay tribute to several of the people who .... been having grand ideas but has never seen them through to completed projects. ... But possess the technical ... the first node on the ARPANET, and the first computer ever on the Internet.
Each month we select a topic then trawl the trove of Slideshare to find the best presentations and explanation of the topics we advocate for. Sometimes the material will be dry, heavy and other times the presentation might be a pretty dam fine bit of art. This month we have concentrated on Privacy.
Chapter 11 of a university course in media history by Prof. Bill Kovarik, based on the book Revolutions in Communication: Media History from Gutenberg to the Digital Age (Bloomsbury, 2nd ed., 2015).
A Brief History of Computation’s in Portugaljournal ijrtem
: A history of the great development of information technology in the twentieth century, at a
global level. The story of the emergence and development of information technology in Portugal, also in the
twentieth century, is highlighted.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realised until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
We will also talk about Assignment 2 and the Goas and Outline.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
Fyrirlestur fyrir Félag tölvunarfræðinga og Verkfræðingafélagið þann 18.05.2022
Nýsköpun er forsenda tækniframfara sem eru forsendur framþróunar. Nýsköpun byrjar yfirleitt smátt og þarf margar ítranir til að virka. Frumkvöðlar sem eru að búa til nýjungar þurfa ekki einungis að glíma við tæknina og takmarkanir hennar, heldur einnig skoðanir og álit samtímamanna sem sjá ekki alltaf tilgang með nýrri tækni. Í þessum fyrirlestri skoðar Ólafur Andri nýsköpun og þær framfarir sem hafa orðið. Einnig skoðar hann hvert tækniframfarir nútímans muni leiða okkur á komandi árum.
Ólafur Andri Ragnarsson er aðjúnkt við Háskólann í Reykjavík og kennir þar námskeið um tækniþróun og hvernig tæknibreytingar hafa áhrif á fyrirtæki. Hann er tölvunarfræðingur (Msc) að mennt frá Oregon University í Bandaríkjanum. Ólafur Andri er frumkvöðull og stofnaði, ásamt fleirum, Margmiðlun og síðar Betware. Þá tók Ólafur Andri þátt í að stofna leikjafyrirtækið Raw Fury AB í Stokkhólmi.
Fyrirlestur haldinn fyrir tæknifaghóp Stjórnvísi þann 13. október 2020.
Undanfarna áratugi höfum við séð gríðalegar framfarir í tækni og nýsköpun á heimsvísu. Þessar framfarir hafa skapað mannkyninu öllu aukna hagsæld. Þrátt fyrir veirufaraldur á heimsvísu eru framfarir ekkert að minnka heldur munu bara aukast næstu árum. Gervgreind, róbotar, sýndarveruleiki, hlutanetið og margt fleira er að búa til nýjar lausnir og ný tækifæri. Framtíðin er í senn sveipuð dulúð og getur verið spennandi og ógnvekjandi í senn. Eina sem við vitum fyrir vissu er að framtíðin verður alltaf betri. Í þessu fyrirlestri ætlar Ólafur Andri Ragnarsson kennari við HR að fjalla um nýjustu tækni og framtíðina.
Technology is one of the factors of change. When new disruptive technology is introduced, it can change industries. We have many examples of that and will start this journey it one of the most important innovation that has come in our lifetimes, the smartphone. We will explore the impact of the smartphone and the fate of existing companies at the time when iPhone, the first smartphone as we know them, was introduced to the world.
We will also look at other examples from history. Then we look at the broader picture, past industrial revolutions and the one that we are experiencing now, the fourth industrial revolution. Specifically we look briefly at the technologies that fuel this revolution, for example artificial intelligence, robotics, drones, internet of things and more.
Manlike machines have fascinated humans since ancient times. The modern robots start to take shape with the industrial revolution. In the 20th century robots were mostly industrial machines you would see in factories, like car factories.
Today, robots can have sensors, vision, they can hear and understand. They can connect to the cloud for more information. However, we are still in the early stages of robotics and robots will need to go a long way to become useful as a ubiquitous general purpose devices.
The normal interaction with computers is with keyboard and a mouse. For display a rectangular somewhat small screen is used with 2D windowing systems. The mouse was invented more the 40 years ago and has been for 20 years dominant input. Now we are seeing new types of input devices. Multi-touch adds new dimensions and new applications. Natural user interfaces or gesture interfaces where people point to drag objects. Computers are also beginning to recognize facial expressions of people, so it knows if you are smiling. Voice and natural language understanding is getting to a usable stage. All this calls all types of new applications.
Displays are getting bigger. What if any surface was a screen? If you could spray the wall with screen? Or have you phone project images to the wall.
This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
Local is the Lo in SoLoMo, the buzz word. Local is not only about location, it's also about your digital track record. Over 70% of Netflix users watch the films recommend. Mining data to understand people's behaviour is getting to be a huge and valuable business. Advertisers see opportunities in getting direct to their target groups. Predictive intelligence is also about where you will be at some time in the future, and where somebody you know will be.
It turns out that Facebook and Google know you better than you think you know yourself. The world is about to get really scary.
Over two billion people signed up for Facebook. This site the most used site for people when using the Internet. People are not watching TV so much anymore - they using Facebook, Youtube and Netflix and number of popular web sites.
Some people denote their time working for others online. What drives people to write an article on Wikipedia? They don´t get paid. Companies are enlisting people to help with innovations and sites such as Galaxy Zoo ask people to help identifying images. And why do people have to film themselves singing when they cannot sing and post the video on Youtube?
In this lecture we talk about how people are using the web to interact in new ways, and doing stuff.
With the computer revolution vast amount of digital data has become available. With the Internet and smart connected product, the data is growing exponentially. It is estimated that every year, more data is generated than all history prior. And this has repeated over several years.
With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data. There are many well-know algorithms to analyse data, like clustering and machine learning.
We are currently living in times of great transformation. We have over the last couple of decade seen the Internet become the most powerful disrupting force in the world, connecting everyone and transforming businesses. Now everyday objects - things we use are getting smart with sensors and software. And they are connecting. What does this mean?
We will see the world become alive. Cars will talk to road sensors that talk to systems that guide traffic. Plants will talk to weather systems that talk to scientists that research climate change. Farming fields will talk to the farming system that talks to robots that do fertilising and harvesting. Home appliances like refrigerators, ovens, coffee machines and microwaves ovens will talk to the home food and cooking system that will inform the store that you are running out butter, cheese, laundry detergent and coffee beans, which will inform the robot driver to get this to your house after consulting your calendar upon when someone is at home.
In this lecture we explore the Internet of Things, IoT.
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organisational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all their songs on YouTube? What is the future business model for music?
One of the great irony of successful companies is how easily they can fail. New companies are founded to take advantage of some new technology. They become highly successful and but when the technology shifts, something new comes along, they are unable to adapt and fail. This is the innovator’s dilemma.
Then there are companies that manage to survive. For example, Kodak survived two platform shift, only til fail the third. IBM has survived over 100 years. What do successful companies do differently?
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
Technology evolves in big waves that we call revolutions. The first revolution was the Industrial revolution that started in Britain in 1771. Since than we have see more revolutions come and how we are in the fifth. These revolutions follow a similar path. First there is an installation period where the new technologies are installed and deployed, creating wealth to those who were are the right place at the right time. This is followed by a frenzy, where financial markets wants to be apart. The there is crash and turning point, followed by synergy, a golden age.
In 1908, a new technological revolution started. It was the Age of Oil and Automobile. The technology trigger was Henry Ford´s new assembly line technique that allowed the manufacturing of standardized, low cost automobile. This created the car industry and other manufacturing companies. This also created demand for gas thus creating the oil industry. During the Roaring Twenties the stock prices rose to new levels, until a crash and the Great Depression. Only after World War II, came a turnaround point followed by a golden age in the post-war boom.
In this lecture we look at a framework for understanding technological revolutions. There revolutions completely change societies and replace the old with new technologies. We will explore how these revolutions take place. We should now be in the golden age phase.
We also look at generations.
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
When innovators try to envision how people will use their product they often have different ideas on what people want. Products that are of superior technology may fail and inferior succeed, only because the inferior product has some features that people are looking for.
In this lecture we look at how new products or technologies get adopted my markets. We look at the Law of Diffusion of Innovation, which explains how this adoption happens. We also look at what it takes for a new innovation to move from being a visionary idea to a practical product, or crossing the chasm. Finally we explore the hype cycle.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, the hummingbird effect, and serendipity.
At any given time, with all the knowledge we have, new knowledge can emerge. We call this the adjacent possible. It explains why new inventions are invented when they are, and why they are not possible before. Adjacent possible is a very useful term to understand the progress of technology. Technology evolves by using prevailing technologies to improve upon. Thus technology is combinatorial and built in layers. With each layer new ideas can be built upon the previous layers. Thus Gall´s Law says that any complex system that works is built of simpler systems that work.
We will look at the adjacent possible and some ideas that came when all the enabling technologies are available. We also look at an idea that was not possible to build at the time, Charles Babbage engines.
For the most time of human history, life was local and linear. Local in the way that anything that happened was close by, a least within a walking distance. Linear in the way that your life was the same as your parents and your children. Nothing ever changed.
Just like the evolution of man, technology improvements follow an evolutionary progress. New ideas or products are to begin with immature and fragile with slow improvements. Then the progress accelerates until the products become mature and taken for granted. Then the cycle repeats and a new layer of technology is added to the previous. This process is exponential. One such observation of exponential is Moore’s Law.
We will explore what exponential means. We look at Moore´s law and The Law of the Accelerating returns.
At any given moment it is easy to look back to see how technology has changed over time. At the same time it is difficult to see what transformations are taking place in current moment, and even more difficult to see where things are going.
We will explore what technology is. For us it may be the latest tech stuff we see, something new. But what about everyday objects that we take for granted. Are those not technologies also?
How does technology evolve and where did it come from? We look at some ideas on evolution of technology and how it is similar to biology in some ways. We will also look at the origin of the word technology. Finally we will define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
2. Keep this in Mind
Adjacent possible
The S-curve
The Law of Diffusion of Innovation
Arrogance of the Present
The Disruption of Innovation Theory
The Resources, Processes and Values Theory
The Liquid Network
3. History of Computers
History can help us explain many things
We can use our laws and theories to explain
events
Computers are relatively recent and their
development is fairly fast
4. “I can assure you on the highest authority that the data processing is
a fad and won’t last out the year.”
Editor-in-charge of business books, Prentice-Hall 1957
10. History
Computing is time consuming and error prone
Demands for computation were increasing with more
organised societies
Industrial revolution and the Napoleonic reforms
Impetus came from Government: Taxing and Defence
11. Efforts to speed calculations started early
Use of logarithmic tables and trigonometry to speed calculations
The Counting Business
12. The Slide Rule by William Oughtred in 1625
Built using logarithms, multiplication of two numbers could
be done easier
a*b = 10^(log(a)+log(b))
Much quicker than manual calculation
The Counting Business
13. Wilhelm Schickard (1592 -1635)
German professor of Hebrew and Astronomy
University of Tüblingen, Germany
Built a calculating machine in 1620s
Documented in letters to Johannes Kepler
1623-24
Early Machines
14. Blaise Pascal (1623-1662)
French mathematician, physicist, and
religious philosopher
Built an adding machine in1642-44
Tried to commercialize the machine but
labor was too cheap
Early Machines
15. Wilhelm von Leibniz (1646-1716)
German mathematician and
philosopher
Built a machine, the Leibniz Wheel that
could multiply and divide
Early Machines
16. Workmanship for building complex machines lacked
In late eighteenth century demand for calculation was growing
Calculations were done by hand
Tedious, slow and error-prone and tables of logarithms were
riddled with errors
History
17. Think about this
How long does it take to compute
707 decimal places of PI?
3.1415926535897932384626433832795028841971693993751058209749445923078164062862
089986280348253421170679821480865132823066470938446095505822317253594081284811
174502841027019385211055596446229489549303819644288109756659334461284756482337
867831652712019091456485669234603486104543266482133936072602491412737245870066
063155881748815209209628292540917153643678925903600113305305488204665213841469
519415116094330572703657595919530921861173819326117931051185480744623799627495
673518857527248912279381830119491298336733624406566430860213949463952247371907
021798609437027705392171762931767523846748184676694051320005681271452635608277
85771342757789609173637178721468440901224953430146549585371050792279689258923
18.
19. Think about this
The idea of calculating with steam was to many
impossible - machines could never take over this
human activity
Yet it did. Can you think of a task done today that
will be taken over by machine in the future?
20. Sometimes called Inventor of
the Computer
Wanted to remove the inevitable
human errors from computing
Believed that machines could
replace laborious and
error-prone calculations
Charles Babbage
(1791 – 1871)
21. Machine to compute polynomials
Got grants but efforts were slow
Lack of workmanship of the time
delayed the project
Worked stopped 1833
Difference Engine
22. Babbage started on a new machine in 1834
First industrial revolution
Programmable machine – with
primitive programming language
Input was in punched cards
Run by steam
Analytical engine
23. A Programmable Machine -
General purpose computer
Contained
mill to calculate,
store to keep data,
and formulas
The first programmer
Augusta Ada (1815-1852)
Countess of Lovelace
25. One of the first calculating machines
Developed by James Ritty in 1879 in response to thefts by staff
“The Incorruptible Cashier”
National Cash Register Company – NCR
One of the salesman was Tomas Watson, Sr.
Watson later left for CTR –
Computing-Tabulating-Recording Company
Cash Register
27. In the US need for data processing was growing
One application was census taking
US population grew from
17 million in 1840 to
50 million in 1880
It took 1.495 clerks 7 years to
produce the 1880 census
Tabulating Machines
28. Source: Tabulating machine
Herman Hollerith
Tabulating Machine Company – TMC
US Census Bureau awarded Herman Hollerith a contract to produce the
1890 census
Tabulating Machines with punched cards
Successfully finished in 2,5 years
with one-third less cost (claimed)
Tabulating Machines
30. The Business of Data Processing
Even with the growing need for data processing around 1900,
the market for tabulating machines was limited
CRT and TMC merged and would later change the name to
International Business Machines – IBM
Tabulating Machines
31. ▪ Early machines could not compete with manual labor
– The cost was not low enough to disrupt
▪ Workmanship was lacking
▪ Energy to power machines was not available
▪ Computing requirement were modest until 18th century
▪ Babbage failed to build machines despite the resources
▪ Babbage (or rather Ada), had all the ideas for modern computer
Lessons: Early Computing Machines
32. ▪ First practical calculating device was a Cash Register
– Designed due to another problem: theft
– Specialised problem instead of a generic one
▪ Tabulating machines appear with the electricity
▪ First buyers of tabulating machines were governments
– Centralised
Lessons: Early Computing Machines
34. “I think there is a market for about five computers”
- Tomas Watson, Sr.
35. Foundation of electric computing was laid early
Mechanical computers were not considered practical
Electricity was spreading fast in the beginning of the 20th century
Threat of war is looming in the 1930s
Governments turn to computing for ballistic computations and
code-breaking
Electric Computing
36. Although electricity had entered the equation, it
had done so only as an alternative method of
powering mechanical equipment
Source: Engines that Move Markets
The Prevailing Technology Trap
37.
38. Konrad Zuse (1910-1995)
German Engineer
Built primitive machines, Z1-Z4 based
on relay switches in 1936 – 1944
Used binary system
Designed his own language, Plankalkül
Never received any official support from
war-time Germany unlike the Allies
P2 max (V0[:8.0],V1[:8.0]) => R0[:8.0]
V0[:8.0] => Z1[:8.0]
(Z1[:8.0] < V1[:8.0]) -> V1[:8.0] => Z1[:8.0]
Z1[:8.0] => R0[:8.0]
END
Source: Konrad Zuse
Early Work
39.
40.
41. Location of top-secret code-breaking team
Code-breaking the German coding machine ENIGMA
Bletchley Park
42.
43. Source: Alan Turing, COLOSSUS, Enigma
English mathematician, logician, and cryptographer
Headed the team at Bletchley Park
Worked on the algorithms to break
the ENIGMA code
Bombe Computer based on heuristics
Lead to COLOSSUS – one of the first
electronic computer
Publishes paper in 1936: On Computable Numbers
Alan Turing
44. Source: COLOSSUS
COLOSSUS
Built in England’s Bletchley Park and used by British code
breakers to read encrypted German ENIGMA messages
during World War II
Designed by Alan Turing
Winston Churchill specifically ordered
the destruction of most of the Colossus
machines into 'pieces no bigger than a
man's hand‘
War Machines
45. ENIAC
Electronic Numerical Integrator and Computer
Built by the U.S. Army for the purpose of calculating ballistic firing tables
Used 18.000 vacuum tubes
Designed by John Mauchly and
J. Presper Eckert
The machine was unveiled in 1946 and
was in operation until 1955
Source: EINIAC
War Machines
59. Source: Integrated circuit
Introduced in 1958 by two inventors
Robert Noyce at Fairchild Semiconductor and Jack Kilby at
Texas Instruments
Transistors could be wired
together in practical way
Mass manufacturing of ICs
The Invention of the Integrated Circuit
60. Adjacent possible
Two inventors at the same time invented the IC
All the enabling technologies are ready and
there is research pressure to solve the tyranny
of numbers
61. Competition Emerges
The Computer Market is born
The main application is data processing, business
applications like payroll, inventory and so on
IBM enters the computer business
Tomas Watson, Jr. launched
IBM System/360 in 1964
Systematically replaced
data processing machines
with mainframe computers
63. Automation – Computers begin to disrupt jobs in 1950
Start to replace jobs
Banks and insurance companies were early adopters
Handling paycheques, payroll that used to require many
clerks to compute
Automation
66. ▪ Electricity was key to computers
– Switching technologies
▪ First electric computers were primitive and fragile
– Low performance
▪ Centralisation
– First computers were in centers
– Expensive, large, run by experts – Priests
Lessons: Early Computing Machines
67. ▪ Giant “Brains”
– Association with human thought
▪ Automation – Disruption
– Companies need fewer clerks to compute
– Tedious jobs eliminated
– Big debate – computer executive had to defend the existence of their
machines
▪ Abstractions few
– Programs were wired in
Lessons: Early Computing Machines
71. Computers were expensive to purchase and maintain
To make it efficient required
multiple users and large data centres
Utility Computing
Time-sharing of expensive equipment
Time-sharing
72. Moore’s Law
Cost of computers went down
Computers became faster and smaller
Normal economics did not apply
73. Cost for new entrants in the computer business was
prohibitive in the 60s
Market for those that did not need complete solution but
could benefit
from using computes
Birth of the Minicomputers
Minicomputers
74. The academic community embraced the
opportunity of minicomputers
Militaries were also early users of minicomputers
Minicomputers
75. Digital Equipment Corporation
Founded in 1957 by Ken Olsen
Launched PDP-1 in 1960
The PDP-8 was the first successful
commercial minicomputer – 1965
Used integrated circuits
Time-sharing allowed multiple
users to use the machines at the
same time
Minicomputers
76. The Disruptive Innovation Theory
Digital used relatively simple,
convenient, low-cost innovation to
create growth and disrupt IBM
77. The Resources, Processes and Values Theory
IBM Was a mainframe company, their
customers wanted mainframes, not
low-performance mini computers
78. ▪ IBM, industry’s first leader, sold mainframe computers to the
central accounting and data processing departments of large
organizations
▪ The emergence of the minicomputer represented disruptive
technology to IBM and competitors
▪ Their customers had no use for it: it promised lower, not higher
margins
▪ As a result the mainframe makers ignored it for years
Clayton M. Christensen: The Innovator’s Dilemma
Lessons: Early Computing Machines
79. ▪ This allowed new entrants: DEC, Data General, Prime, Wang
and Nixdorf – to create and dominate the minicomputer market
▪ IBM entered the minicomputer market when it was
performance competitive to the needs of their customers
▪ The history repeated itself
Clayton M. Christensen: The Innovator’s Dilemma
Lessons: Early Computing Machines
80.
81.
82. May 25, 1961
Status:
Mainframe era, mini computer early days
Transistor era, integrated circuits just invented
Programming languages new
The World in 1961
83. “The space program badly needed the things the
integrated circuit could provide.”
- Jack St. Clair Kilby
84. Robert Noyce and Gordon Moore founded Intel
Semiconductor company
Initial focus was on memory chips
There was still enormous potential market for calculations
The vision of Charles Babbage was still not realised but the
mainframe market met the needs of governments and large
organisations
Semiconductor Industry is Born
85. Intel introduced the first microprocessor 4004 in 1971
8008 in 1972, 8080 in 1974 and 8088 in 1979
The beginning of the Personal Computer, the PC
The Microprocessor
86. Intel was really reluctant to go into the microchip business
No market existed
No demand at the time
Intel created 4004 for another company
They would not market chips, but built them when ordered
The company cancelled the order and Intel was forced to offer
them for sale
The Microprocessor
88. Advances in technology introduced the
desktop calculator
The market grew fast
With advances, the calculators became more powerful and smaller
Pocket calculators
Became widespread in the 70s
Replaced the slide rule after 374 years
The Calculator
89. Many companies start to make Calculators
Casio, Sharp, Canon, HP, MITS and more
In Europe, Aristo, Denner & Pape, a slide rule manufacturer
since 1872, also entered the market in 1972
Price dropped fast: $400 in 1972, $200, $100 and $50 in 1974
Companies like MITS need to find new ways of revenues
The Calculator
90. Think about this!
All mini-computer companies had
what it would take to go into small
scale products – they even had
people proposing the idea, but they
did not!
92. MITS marketed Altair in 1975
Came with Intel 8080
Users needed to assemble the machine themselves
No keyboard, no screen, no printer
256 byte of RAM, programmed with switches
Included BASIC interpreter from Microsoft
Written by Bill Gates and Paul Allen
Cost of $397 appealed to computer enthusiasts
The Personal Computer
93. Bill Gates and Paul Allen
Wrote a BASIC interpreter
for the Altair
Founded a company they called
Micro-Soft
Mircosoft
94. Steve Jobs and Steve Wozniak
Show the Apple I in the Palo Alto
Homebrew Computer Club in 1976
Apple II was marketed 1977 and became a huge
success - “Apple growth”
Hewlett-Packard had turned
Wozniak down – no market
Apple
96. Existing computer companies were not interested in PCs
DEC, HP, IBM, and Control Data did not see a business model
HP rejected a proposal from Steve Wozniak
DEC rejected a proposal from David Ahl
Support for machines like this was considered impossible
Consequence:
The development of the PC had to begin with hobbyists
Computer Companies
101. L14 From the Internet to Blockchain
The Internet was a primitive network owned by no one,
based on the TCP/IP standard, and at the same time big
companies where promoting their networks
Yet the Internet won…
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