L04 Adjacent Possible
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Technology evolves by exchange of ideas. With speciality began prosperity. After one idea comes another idea, by combining ideas into new ideas. In this lecture we look at the fundamental reason for technological progress and it is similar to that of how species evolve in nature. 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.
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L03 Exponential World
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 father and your childs. Nothing 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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
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.
In the late 19th century a revolution in science took off. It was easy to see the vast number of inventions and entrepreneurial spirit of the time. At the dawn of the 20th century, it seems that everything had been invented. Yet, in the 20th century we saw more innovations and more technologically advanced than in all history of mankind before that. Never in history have we seen such dramatic changes in the way people live and work.
In this lecture we explore what to make of technology. We define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
L02 A Journey Exploring Technology
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 father and your childs. Nothing 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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
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.
In the late 19th century a revolution in science took off. It was easy to see the vast number of inventions and entrepreneurial spirit of the time. At the dawn of the 20th century, it seems that everything had been invented. Yet, in the 20th century we saw more innovations and more technologically advanced than in all history of mankind before that. Never in history have we seen such dramatic changes in the way people live and work.
In this lecture we explore what to make of technology. We define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
L05 How Innovation Happens
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, and serendipity.
L05 Innovation
The document discusses several theories of innovation, including that new technologies are created by combining existing technologies in new ways (combinatory process), that innovation happens through exchange of ideas in liquid networks like coffee houses, and that the prepared and collaborative environment of these networks allows for serendipitous discoveries and "slow hunches" to develop into major innovations over time. Major innovations often have origins many years before becoming widely adopted due to the time it takes to build new platforms and for them to diffuse through populations according to theories like the adjacent possible and the 10/10 rule.
New Technology 2015 L03 Exponential World
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 father and your children. Nothing 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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
L04 Adjacent Possible
Innovation is the change in technology. The question is this: how does innovation happen? Many people have believe that new ideas come from brilliant inventors that have lightbulb moments or an epiphany. Greek scholar Archimedes had a Eureka moment, Newton discovered the theory of gravity when the apple fell on his head, and so on. This idea has been popularized, but the truth is quite different. Most discoveries are based on long evaluation - slow hunches, and collaboration.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, and serendipity.
New Technology 2015 L02 A Journey Exploring Technology
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.
In the late 19th century a revolution in science took off. It was easy to see the vast number of inventions and entrepreneurial spirit of the time. At the dawn of the 20th century, it seems that everything had been invented. Yet, in the 20th century we saw more innovations and more technologically advanced than in all history of mankind before that. Never in history have we seen such dramatic changes in the way people live and work.
In this lecture we explore what to make of technology. We define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
New Technology Lecture L04 Adjacent Possible
Slides from Lecture L04 Adjacent Possible
In Reykjavík University course New Technology 2014
Technology evolves by exchange of ideas. With speciality began prosperity. After one idea comes another idea, by combining ideas into new ideas. In this lecture we look at the fundamental reason for technological progress and it is similar to that of how species evolve in nature.
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 their time.
Recommended
L03 Exponential World
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 father and your childs. Nothing 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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
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.
In the late 19th century a revolution in science took off. It was easy to see the vast number of inventions and entrepreneurial spirit of the time. At the dawn of the 20th century, it seems that everything had been invented. Yet, in the 20th century we saw more innovations and more technologically advanced than in all history of mankind before that. Never in history have we seen such dramatic changes in the way people live and work.
In this lecture we explore what to make of technology. We define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
L02 A Journey Exploring Technology
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 father and your childs. Nothing 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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
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.
In the late 19th century a revolution in science took off. It was easy to see the vast number of inventions and entrepreneurial spirit of the time. At the dawn of the 20th century, it seems that everything had been invented. Yet, in the 20th century we saw more innovations and more technologically advanced than in all history of mankind before that. Never in history have we seen such dramatic changes in the way people live and work.
In this lecture we explore what to make of technology. We define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
L05 How Innovation Happens
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, and serendipity.
L05 Innovation
The document discusses several theories of innovation, including that new technologies are created by combining existing technologies in new ways (combinatory process), that innovation happens through exchange of ideas in liquid networks like coffee houses, and that the prepared and collaborative environment of these networks allows for serendipitous discoveries and "slow hunches" to develop into major innovations over time. Major innovations often have origins many years before becoming widely adopted due to the time it takes to build new platforms and for them to diffuse through populations according to theories like the adjacent possible and the 10/10 rule.
New Technology 2015 L03 Exponential World
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 father and your children. Nothing 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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
L04 Adjacent Possible
Innovation is the change in technology. The question is this: how does innovation happen? Many people have believe that new ideas come from brilliant inventors that have lightbulb moments or an epiphany. Greek scholar Archimedes had a Eureka moment, Newton discovered the theory of gravity when the apple fell on his head, and so on. This idea has been popularized, but the truth is quite different. Most discoveries are based on long evaluation - slow hunches, and collaboration.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, and serendipity.
New Technology 2015 L02 A Journey Exploring Technology
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.
In the late 19th century a revolution in science took off. It was easy to see the vast number of inventions and entrepreneurial spirit of the time. At the dawn of the 20th century, it seems that everything had been invented. Yet, in the 20th century we saw more innovations and more technologically advanced than in all history of mankind before that. Never in history have we seen such dramatic changes in the way people live and work.
In this lecture we explore what to make of technology. We define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
New Technology Lecture L04 Adjacent Possible
Slides from Lecture L04 Adjacent Possible
In Reykjavík University course New Technology 2014
Technology evolves by exchange of ideas. With speciality began prosperity. After one idea comes another idea, by combining ideas into new ideas. In this lecture we look at the fundamental reason for technological progress and it is similar to that of how species evolve in nature.
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 their time.
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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.
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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.
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The document discusses the concept of the adjacent possible, which is the idea that inventions emerge when the necessary enabling technologies are available to support them. It provides examples throughout history of how this has occurred, such as the telephone being invented in 1876 because the necessary technologies of electricity, wires, and batteries were available, whereas they were not in 1826. It also discusses concepts like Moore's Law, exponential growth, enabling technologies, prevailing technologies, layers of technology, and how perceptions of what is possible can limit or enable new innovations.
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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.
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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.
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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.
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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.
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Watch the video: https://wp.me/p3RLHQ-hsB
Learn more: https://extremecomputingtraining.anl.gov/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
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L04 Adjacent Possible
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.
New Technology 2017 L04 Exponential World
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 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.
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Fab Lab Society?
Presentation given to the 1st Social Fab Conference (Tokyo, 31 Aug 2013) and the "Beppu Bay Conference" (Oita, 1 Sept 2013)
L03 Exponential World
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.
New Technology 2019 L13 Rise of the Machine
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.
L04 Adjacent Possible
The document discusses the concept of the adjacent possible, which is the idea that inventions emerge when the necessary enabling technologies are available to support them. It provides examples throughout history of how this has occurred, such as the telephone being invented in 1876 because the necessary technologies of electricity, wires, and batteries were available, whereas they were not in 1826. It also discusses concepts like Moore's Law, exponential growth, enabling technologies, prevailing technologies, layers of technology, and how perceptions of what is possible can limit or enable new innovations.
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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.
New Technology 2019 L01 Introduction
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.
L09 Technological Revolutions
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.
L06 Diffusion of Innovation
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.
L06 Diffusion of Innovation
This document summarizes a lecture about the diffusion of innovation. It discusses how new ideas are developed through collaboration and exchange. It also discusses how innovations diffuse slowly at first, gaining momentum over time as they are adopted by pragmatists and conservatives seeking convenient solutions. The rate of adoption follows an S-curve, with innovators and enthusiasts driving early adoption and the mass market adopting later. Customers' motivations for adoption change over time, initially valuing the innovation's benefits and later valuing its functionality. Factors like network effects, convenience, and compatibility influence adoption rates.
L05 Innovation
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.
L07 Becoming Invisible
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.
Third Industrial Revolution?
This document summarizes Peter Troxler's background and involvement in the Fab Lab movement. It discusses key thinkers and texts related to digital fabrication and the Third Industrial Revolution, including Neil Gershenfeld, Jeremy Rifkin, and Chris Anderson. It also touches on challenges around organizing the Fab Lab ecosystem through collective action and self-organization while protecting open access to knowledge.
Greatest Moments in Internet History: The Internet and Netscape IPO
On October 29, 1969, Leonard Kleinrock and his team at UCLA successfully connected a computer at UCLA to a computer at SRI, sending the first message over what would become the Internet. This event marked the beginning of wide-scale digital communication. In 1995, Netscape had a hugely successful IPO that valued the company around $2.9 billion and kickstarted the dot-com boom, inspiring many other tech companies to go public. Both the initial ARPANET connection and the Netscape IPO were pivotal moments that advanced connectivity and the commercialization of the Internet.
New Technology Summer 2020 Course Introduction
Slides on the New Technology Summer 2020 Course. Contains information about the content and requirements.
12 1 the industrial revolution in america
The document discusses the Industrial Revolution in America, specifically in the North. It describes how early Americans were mostly farmers and skilled tradespeople. The Industrial Revolution brought new technologies that enabled mass production of goods to meet growing demand. This started in England with innovations in the textile industry, including the water frame invented by Richard Arkwright. Samuel Slater helped bring textile production to America by establishing mills in Northern cities, while the South lagged due to slavery and lack of waterways for mills. Eli Whitney further advanced manufacturing by developing a system of interchangeable parts.
A Revolution in Computer and Data-enabled Science and Engineering
In this video from the 2017 Argonne Training Program on Extreme-Scale Computing, Edward Seidel from the University of Illinois presents: Revolution in Computer and Data-enabled Science and Engineering.
Watch the video: https://wp.me/p3RLHQ-hsB
Learn more: https://extremecomputingtraining.anl.gov/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
"Starting in late July, 70 participants — graduate students, computational scientists, and postdoctoral and early-career researchers — gathered at Argonne's fifth annual training session. This two-week course is designed to teach scientists key skills and tools and the most effective ways to use leading-edge supercomputers to further their research aims."
Edward Seidel is the Vice President for Economic Development and Innovation for the University of Illinois System. The U of I System is the state’s largest and most comprehensive public university system with universities in Urbana-Champaign, Chicago, and Springfield. The System’s three universities offer over 500 academic programs to more than 80,000 students. The System’s interactions with state, federal and local governments, and the private sector are significant and diverse. It is a $5.6 billion enterprise with an economic impact of almost $14 billion annually, and a sponsored research portfolio of nearly $1 billion.
The influence of science fiction
Science fiction has influenced many real-world technologies by sparking scientists' interests and envisioning technologies that later became realities, such as communication satellites. Researchers have found that science fiction plays an important and growing role in human-computer interaction by exploring issues like shape-changing interfaces and digital afterlife ethics. For technology and business to progress, innovative methods are needed to integrate emerging converging technologies at large scales through collaboration between businesses, policymakers, and individuals to develop beneficial innovations and adapt to human-machine connections.
Electronics and the Camera Revolution
The shift to digital imaging was very well described even before it happened. This is illustrated through quotes by Robert Noyce, the co-founder of Intel.
WHY TECHNOLOGY CHANGE IS INCREASING FASTER
The document discusses how the pace of technological change is accelerating. It notes that while it takes 30-50 years for a new technology to become ubiquitous, many modern technologies like 3D printing and AI were invented in the 1960s but have now reached mass adoption due to improvements in scale, quality and cost. The document also cites Moore's Law of computing power doubling every two years as a driver of faster change, as well as the commoditization of technologies like networking and computing which has enabled widespread innovation. Overall the document argues that while the rate of new inventions may be steady, the pace of change feels faster due to parallel innovations now bringing older ideas to mass markets.
CONTEMPORARY ARCHITECTURE (2010- future) globally
The document discusses contemporary global architecture trends from 2010 to the future. It outlines the global economic and demographic shifts occurring, with emerging economies like China projected to surpass the US. Rapid urbanization and climate change are driving forces for architectural change. New technologies like 3D printing, AI, robotics, and the Internet of Things are revolutionizing design, construction, and building operations. Example projects showcase more sustainable designs like vertical farms and forest cities that integrate renewable energy and green space. Invisible and adaptable buildings using advanced materials are envisioned to better integrate with their surroundings.
What's hot (20)
Greatest Moments in Internet History: The Internet and Netscape IPO
Greatest Moments in Internet History: The Internet and Netscape IPO
A Revolution in Computer and Data-enabled Science and Engineering
A Revolution in Computer and Data-enabled Science and Engineering
Similar to L04 Adjacent Possible
L04 Adjacent Possible
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.
New Technology 2017 L04 Exponential World
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 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.
L04 Adjacent Possible
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.
Third Industrial Revolution?
This document summarizes Peter Troxler's background and involvement in the Fab Lab movement. It discusses key thinkers and texts related to digital fabrication and the Third Industrial Revolution, including Neil Gershenfeld, Jeremy Rifkin, and Chris Anderson. It also touches on challenges around organizing the Fab Lab ecosystem through collective action and self-organization while protecting open access to knowledge.
The Linux Probability Wave
Cover Article "Microscared" for the Inaugural "Linux Magazine" June 1999 issue http://www.linux-mag.com/id/209/. Posits that Linux and Open Source in general are part of a larger paradigm shift in society driven by Quantum Mechanics
Engineering Social Justice Presentation
The document discusses the utopian and dystopian views of the internet and technology. It explores how the internet has transformed society in a short period of time through widespread adoption. While some see opportunities for democracy and organization, others worry technology could increase control over individuals and exacerbate human problems. The document also addresses issues like the digital divide and knowledge divide, participatory design, and using technology and the internet for social justice goals.
Week2 (STSP)
This document provides an overview of the State, Technology & Social Policy module. It introduces topics that will be covered over the next 8 weeks through lectures, seminar presentations, and virtual seminars. Students will be divided into small groups to work on policy issues and present their findings at an end of module conference. The first virtual seminar discusses whether technology controls us or if we control technology, exploring the concepts of technological determinism and the social shaping of technology. While technological change is complex with many influencing factors, technology can impact power dynamics in society.
L03 Exponential World
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 father and your childs. Nothing 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.
L06 Innovation
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.
L02 Evolution of Technology
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.
Project 2 For this project, please pick either Option A or Opt.docx
Project 2
For this project, please pick either Option A or Option B.
Write your answers to the following questions in Short Essay Format. Be sure to include reasons and facts as required to support your answers. Total length of response for this assignment needs to be a minimum of 2 full pages; maximum response is 3 pages.Use MS Word or its equivalent.
Option A.
Background:
The “computer revolution” is here. The changes these machines are bringing to society are profound, if not revolutionary. Moreover, like many previous revolutions, the computer revolution is happening very quickly. The computer as defined today did not exist in 1950. Before World War II, the word computer meant a human being who worked at a desk with a calculating machine, or something built by a physics professor to solve a particular problem, used once or twice, and then retired to a basement storeroom. Modern computers - machines that do a wide variety of things, many having little to do with mathematics or physics - emerged after World War II from the work of a dozen or so individuals in England, Germany, and the United States. The "revolution," however one may define it, began only when their work became better known and appreciated.
These perceptions, which lay behind the widely held belief that computers would never find more than a limited (though important) market in the industrialized world, came mainly from looking at the new invention strictly in the context of what it was replacing: calculating machines and their human operators. That context was what limited the pioneers' vision.
Whenever a new technology is born, few see its ultimate place in society. The inventors of radio did not foresee its use for broadcasting entertainment, sports, and news; they saw it as a telegraph without wires. The early builders of automobiles did not see an age of "automobiles"; they saw a "horseless carriage." Likewise, the computer's inventors perceived its role in future society in terms of the functions it was specifically replacing in contemporary society. The predictions that they made about potential applications for the new invention had to come from the context of "computing" as they knew of. Though they recognized the electronic computer's novelty, they did not see how it would permit operations fundamentally different from those performed by human computers.
Assignment:Your challenge is to imagine the dynamics of an emerging technology.
First, pick a current emerging high technology trend (innovation, invention, or gadget) that would utilize some new application of knowledge or scientific discovery. Then discuss, using your own opinion, what the ultimate uses of that technology might be? How will the impact of that technology affect civilization and life as we know it? What differences will it make? How might the evolution of that technology change social, political, and economic conditions? What beneficial effects or harmful effects will result? Look ...
The fourth industrial revolution
The Fourth Industrial Revolution builds on previous revolutions through emerging technologies like robotics, AI, IoT, 3D printing, and biotechnology. It is characterized by the fusion of technologies that blur physical, digital, and biological spheres. This revolution will disrupt economies, businesses, governments, societies, and individuals by changing the nature of work, customer expectations, and personal identity. Managing this transition requires new approaches to collaboration within and across these domains.
Troxler: Third Industrial Revolution?
The document discusses the Third Industrial Revolution and key thinkers related to it such as Neil Gershenfeld, Jeremy Rifkin, and Chris Anderson. It outlines some of the main ideas from their works, including that personal fabrication tools will allow everyone to become their own manufacturer. It also discusses challenges for open source practices being applied to hardware, and questions around how to best organize the emerging ecosystem of distributed digital manufacturing.
Chapter 1 - Intro to Emerging Technologies.pptx
The document provides an introduction to emerging technologies, covering topics like the evolution of technologies through industrial revolutions (IR 1.0-4.0), the role of data, enabling devices and networks, and human-machine interaction. It discusses how technology has developed gradually through IRs, from mechanization and steam power in IR 1.0 to today's smart systems fueled by data in IR 4.0. Data is seen as a strategic asset driving science and technology forward. Networks and programmable devices like FPGAs and CPLDs enable emerging technologies.
Ethics And Computing
This document discusses the history and development of computer ethics as a field. It describes how computer ethics first emerged during WWII with Norbert Wiener's work on cybernetics, but was largely ignored until the 1960s when the social and ethical implications of computers started to become apparent. The document then outlines several important milestones and definitions in the field, such as James Moor coining the term "computer ethics" in 1983 and Deborah Johnson identifying privacy as a key issue. The rest of the document analyzes various ethical issues raised by computers like privacy, risk, social justice, speech, commerce, and intellectual property. It concludes by arguing that computer ethics will evolve into a new global ethics given the central role of technology in
Science & Technology
Technology drives economic growth through increased productivity. Examples throughout history show how technological advances such as the printing press, microscope, and electricity fueled economic expansion. Today, innovations like Google Earth, fiber optics, and personalized medicine continue to power the economy by creating new industries and jobs. Times of economic crisis also spur new technologies, as companies seek solutions. Overall, technology is a key engine of sustainable economic growth through private sector investment and disruptive innovations that improve people's lives.
Innovation in e-business
This document provides an overview of innovation and different types of innovation. It begins with definitions of innovation and discusses theories on innovation, including waves of innovation proposed by Schumpeter and Kondratiev, seven sources of innovation identified by Drucker, and Rogers' diffusion of innovation theory. It then describes the four types of innovation identified by Henderson and Clark: incremental, radical, modular, and architectural. Examples are given of each type of innovation. The document aims to explain what innovation is and why it is important to understand the different types of innovation.
Simple past wh questions
simple past questions and some things refer to computing ... material taken from internet... Hey share your creativity and your knowlede make it public. share your presentations
Ete 107
Digital electronics deals with digital signals to perform tasks using binary digits. It was needed because analog systems were less accurate and slower. Digital systems can operate faster and at higher frequencies than analog equivalents. Digital electronics uses smaller integrated circuits that occupy less area and are more accurate than analog measuring instruments. The development of digital electronics began with ideas in the 1700s and progressed through transistors, computers, the internet, and mobile devices in recent decades. It has advanced fields like education but increased dependency on technology.
HOW TO MAKE THE UTOPIA OF SCIENCE AND TECHNOLOGY USED ONLY FOR THE GOOD OF HU...
This article aims to present how to make the utopia of using science and technology exclusively for the good of humanity come true, ending the dystopia represented by science and technology also used to produce evil for humanity. The use made of science and technology is so intense that a significant portion of people believe that they only bring benefits to society. Today, there is a clear perception that science and technology have provided progress for humanity, but that, along with this, they also have the capacity to destroy it. Science and technology, commanded by market capitalism, are not only seen as liberating, but, in certain situations, as dehumanizing and enslaving human life. Technology has shaped our lives because we are at the mercy of interconnected systems and, what is serious, because we are submissive to their authority and state capitalism, molding ourselves to its functioning. To ensure that science and technology are used exclusively for the good of humanity, the reform of capitalism must occur in all countries of the world with the construction of the Social Welfare State like the one built in the Scandinavian countries which, being a hybrid between what is most positive in the capitalist and socialist systems, would prepare the ground for the achievement of the highest level of civilization with the construction of democratic socialism in all countries of the world.
Similar to L04 Adjacent Possible (20)
Project 2 For this project, please pick either Option A or Opt.docx
Project 2 For this project, please pick either Option A or Opt.docx
HOW TO MAKE THE UTOPIA OF SCIENCE AND TECHNOLOGY USED ONLY FOR THE GOOD OF HU...
HOW TO MAKE THE UTOPIA OF SCIENCE AND TECHNOLOGY USED ONLY FOR THE GOOD OF HU...
More from Ólafur Andri Ragnarsson
Nýsköpun - Leiðin til framfara
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.
Nýjast tækni og framtíðin
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.
L01 Introduction
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.
L23 Robotics and Drones
This document summarizes a lecture on robotics and drones. It discusses the history of robots dating back to ancient times. It also covers modern industrial robots, robotic developments in the 21st century including robots that can see, hear and sense. The document outlines Isaac Asimov's three laws of robotics. It discusses self-driving cars and their levels of automation. Finally, it covers unmanned aerial vehicles including military drones and delivery drones, and concludes that the robot revolution has only just begun.
L22 Augmented and Virtual Reality
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.
L20 Personalised World
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.
L19 Network Platforms
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.
L18 Big Data and Analytics
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.
L17 Algorithms and AI
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.
L16 Internet of Things
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.
L14 From the Internet to Blockchain
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.
L14 The Mobile Revolution
- Mobile phones are now the most common device in the world, with over 8.5 billion connections globally as of 2017.
- The development of mobile phones was enabled by earlier innovations in electromagnetism and radio in the late 19th century, but mobile phones did not become practical until the 1980s with the invention of the microchip.
- Mobile technology has advanced through generations from analog 1G networks in the 1980s, to digital 2G networks in the 1990s incorporating texting, and 3G packet switched networks in the 2000s enabling more data and applications.
L12 digital transformation
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?
L10 The Innovator's Dilemma
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?
Fjórða iðnbyltingin og áhrif á velferðarþjónustuna
Erindi haldið á ráðstefnunni TÍMAMÓT Í VELFERÐARÞJÓNUSTU, sem haldin var 7. og 8. nóvember 2018
Á seinni helmingi skákborðsins
Fyrirlestur haldinn í Háskólanum í Reykjavík á Vísindabragðaref þann 26. október 2018
Hvert stefnir
Erindi haldið á 50. ára afmælishátíð Ský þann 6. apríl 2018.
Við höfum farið frá minitölvum þar sem áherlsan var á vélbúnað og gagnavinnslu, til einkatölvunnar þar sem hugbúnaðurinn fór að skipta meiri máli. Við höfum tengt allar þessar vélar saman með Internetinu og nú erum við með margföld afköst minivélanna í vasanum, í formi snjallsímans, sem við notum aðallega í samskipti og selfís.
Hér er fjallað um það sem kemur næst.
L23 Robotics and Drones
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.
L21 Games and Gamification
The first computer games go back to the 50s when a nought and crosses game was created using an EDSAC computer. An effort at MIT ten years later led to a the multiplayer Spacewar game developed in a PDP-1. Even though these games were primitive, a game industry was born with the first games available in special locations – arcades. Today’s games are produced with modest Hollywood budgets and some are selling more than box-office hits.
In this lecture we look at computer games and the gaming market. Also we cover the impact of gaming and the trends.
More from Ólafur Andri Ragnarsson (19)
Fjórða iðnbyltingin og áhrif á velferðarþjónustuna
Fjórða iðnbyltingin og áhrif á velferðarþjónustuna
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Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
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Meetup Page : https://www.meetup.com/mydbops-databa...
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Overview
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L04 Adjacent Possible
- 2. The S-curve Based on the notion of the Technical Life Cycle Improvements in performance varies throughout the life of the technology
- 3. Number of transistors on an integrated circuit will double in about 18-24 months Moore’s Law
- 4. The Law of Accelerating Returns Evolution applies positive feedback in that the more capable methods resulting from one stage of evolutionary progress are used to create the next stage. As a result, the rate of progress of an evolutionary process increases exponentially over time.
- 5. Exponential World Local and linear Global and Exponential
- 7. Ideas build upon Ideas Every generation of technology becomes a source for new innovations
- 8. Web of Technology Products are made using different parts using many technologies - confection of ideas
- 9. Gall’s Law All complex systems that work, evolved from simpler system that worked
- 10. “I, Pencil” by Leonard E. Read
- 11. The most important single central fact about a free market is that no exchange takes place unless both parties benefit. — Milton Friedman
- 13. Toaster
- 14. Thomas Thwaits: The Toaster Project
- 15. Source: TED.com
- 16. "Left to his own devices he couldn’t build a toaster. He could just about make a sandwich and that was it." — Mostly Harmless, Douglas Adams, 1992
- 19. “And that was something that reoccurred throughout the project, was, the smaller the scale you want to work on, the further back in time you have to go” — Thomas Thwaites
- 20. Layers of Technology Technologies evolves layer by layer, from simple to complex technologies
- 21. Combinatory Process New technology is created by combining other existing technology in new ways
- 22. The Law of Disappearing Technology When some technique is mastered, it will “disappear” as something obvious and trivial, and other more useful things that are built on top of it
- 23. That means when technology disappears it becomes useful The Law of Disappearing Technology
- 24. Electricity The Law of Disappearing Technology
- 25. Internet The Law of Disappearing Technology
- 26. The Resistance Corollary Even outdated things that should “disappear” don’t due to supposed importance
- 27. Phone books Checks Fax machines Keys Plastic cards Landline phones Printed newspapers Lottery terminals
- 29. Adjacent Possible ...a kind of shadow future, hovering on the edges of the present state of things, a map of all the ways in which the present can reinvent itself Steven Johnson
- 31. Ideas usually come at similar time Who invented the telephone?
- 32. Enabling Technology Existing technology that can be used to build new technologies
- 33. Why was the computer invented in the 1940s and not in the 1840s? Think about this!
- 34. Charles Babbage worked on his difference engine and later analytical engine In 1822-1871
- 35. Ada Lovelace influenced or even conceived the concept ot programmable computer
- 36. Adjacent Possible When all the enabling technologies are ready, new inventions will be emerge
- 37. Adjacent Possible The inventor must use the components that exist in his environment Steven Johnson
- 38. Image source: http://www.computersciencelab.com/ComputerHistory/HistoryPt4.htm Vacuum tubes were used to build computers
- 39. The Second Industrial Revolution The period 1870-1914 shaw innovations in the chemical, electric, petroleum and steel industries
- 40. Nikolai Kondratiev Kondratiev waves are supposedly cycle-like phenomena in the modern world economy
- 42. Source: Wikipedia, Kondratiev Wave Wave Years 1 First Industrial Revolution 1787–1842 2 Railroad and Steam Engine Era 1842–1897 3 Age of steel, electricity and internal combustion 1897–1939 4 War and Post-war Boom: Suburbia 1939–1982 5 Post Industrial Era: Information Technology 1982? – ?? Kontrativ Wave
- 45. The Prevailing Technology Trap Current and dominant technology will highly influence and restrict new innovations
- 49. Two Waves of Products Development In the first wave the product is restricted by the prevailing technology, but in the second, there is something new
- 50. Two Waves of Products Development Web 1.0 Web 2.0
- 51. Two Waves of Products Development One2Many Many2Many
- 52. Timeline Each wave creates number of new inventions
- 53. Timeline When the time is right, new ideas will emerge
- 54. Let’s play a game
- 55. Next L05 How Innovation Happens