L05 Innovation
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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.
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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 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.
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.
L04 Adjacent Possible
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.
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.
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.
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.
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
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 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.
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.
L04 Adjacent Possible
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.
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.
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.
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.
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.
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.
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.
New Technology 2017 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? 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.
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.
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.
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.
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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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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.
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In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, and serendipity.
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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.
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.
New Technology 2017 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? 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.
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.
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.
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.
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.
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.
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The document discusses the history of innovations in communications technology and predictions made about their potential. It notes how rockets, computers, phones, and the internet have developed over time. The document argues that high-speed broadband internet could enable new applications and transform industries like media, tourism, and healthcare by allowing data sharing and remote access to services. However, many innovations are difficult to predict, as shown by past skeptical quotes about technologies like radio and computers.
Computers and the pursuit of happiness
The document is an excerpt from David Gelernter's 2001 essay "Computers and the Pursuit of Happiness" which discusses whether computers and the internet represent a revolutionary development. Gelernter argues that while information technology has improved access to information, it has not fundamentally changed basic human needs and society in the way other major technological advances like electricity have. He believes the full potential of computer technology is still emerging.
3.1 computers and the pursuit of happiness for 1st semester for KU's BBA
This document summarizes an essay by David Gelernter about computers and the pursuit of happiness. It provides biographical details about Gelernter, an overview of the essay's contents which examines whether the rise of computers and the internet constitutes a revolutionary development. It discusses views presented in the essay that argue the "information age" is overhyped and that the computer revolution is still emerging, as well as counter arguments about the benefits of new technologies.
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.
Digital Darwinism & Creativity in the Third Industrial Revolution (Farset Lab...
We are in the midst of another industrial revolution, with the abundance of low cost digital manufacturing and connected devices. Surviving this revolution requires adaptability, which translates as creativity, curiosity, productivity... all the things that makers do for fun.
Here is the full deck from a talk I was kindly invited to give to the 2015 Create conference (www.create.to) on behalf of my beloved Farset Labs, the Belfast hackerspace / makerspace (www.farsetlabs.org.uk). It's supported by a blog post: https://blog.farsetlabs.org.uk/making-it-through-the-third-industrial-revolution/
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.
Open Source Design: Disruption, Desire, Destiny?
Keynote at the Swiss Design Network Conference, 9. November 2012, Lugano, Switzerland. Full paper at http://petertroxler.net/open-source-design-disruption-desire-destiny
The Future Is Faster Than You Think Book Summary
The document discusses how exponential technologies are accelerating at an increasing rate due to factors like Moore's Law, convergence of technologies, and new business models. It outlines seven forces that are further amplifying this acceleration, including saved time, availability of capital, and communications abundance. The document also predicts five major migrations over the next 100 years as a result of these trends, such as climate migrations, virtual worlds, and a potential "meta-intelligence" through brain-computer interfaces.
Inducción novatos 2015
Nikola Tesla predicted wireless communication and unmanned aircraft in the early 20th century. He believed that wireless technology would benefit humanity more than any other scientific discovery. Tesla also envisioned that when wireless is perfected, the entire earth would function like a giant brain. He predicted that communication devices would become small enough for a man to carry in his vest pocket.
Ju ho lee 4th industrial revolution-en
The document summarizes Ju-Ho Lee's presentation on Korea's need to transform from a fast follower to a first mover in innovation to succeed in the Fourth Industrial Revolution. Some key points:
- Korea is lagging other Asian countries in readiness for the Fourth Industrial Revolution according to World Economic Forum rankings.
- To achieve growth, Korea must transform its innovation ecosystem from one focused on fast following to one producing original products and platforms to become a first mover. This requires nurturing startups and collaboration between companies, universities and research.
- Korea also needs a "learning revolution" with education reform that emphasizes creativity, lifelong learning and 21st century skills rather than rote memorization, to prepare workers
IC Family Tree
1) Alumni of Stanford University feel strongly connected to their alma mater and frequently start technology companies in Silicon Valley or become donors and advisors. David Kelley of IDEO exemplifies giving back by teaching at Stanford in addition to running his company.
2) John Hennessy, the current dean of Stanford engineering, co-founded MIPS Computing after taking a sabbatical from Stanford, showing the fluid movement between academia and industry.
3) Yahoo co-founders Jerry Yang and David Filo began working on lists of their favorite websites while graduate students at Stanford, which eventually led to the successful founding of Yahoo after they were given flexibility by the engineering school.
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3.1 computers and the pursuit of happiness for 1st semester for KU's BBA
3.1 computers and the pursuit of happiness for 1st semester for KU's BBA
Digital Darwinism & Creativity in the Third Industrial Revolution (Farset Lab...
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Similar to L05 Innovation
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.
New Technology Lecture L05 Innovation
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.
02 AI New Economy .pptx
The document discusses how artificial intelligence and new technologies are transforming how humans live, work and relate to each other. It describes how machines are acquiring skills and abilities that were previously thought to be exclusive to humans. While technology offers opportunities, it also risks increasing inequality, unemployment and potentially dystopian outcomes if not properly managed and developed with human values and priorities in mind. The responsibility lies with human societies and leaders to ensure technology augmentation uplifts humanity.
Humanity Vs Technology - A "Quote-Unquote" Debate #edcmooc
This is my digital artefact submission for the E-Learning & Digital Cultures MOOC (EDCMOOC 3 : Nov-Dec14). The quotes I have used in the presentation bring out beautifully the debate on technology vs humanity and utopia vs dystopia - a debate that is as old as recorded history itself.
as mankind has evolved, so has technology. From the day and age of the wheel to the age of space travel, we certainly have come a long way. Yet, the viewpoints on technology differ. The dystopian view would be that technology tends to make slaves of us humans, rather than being masters of the technology created by us. The opposite view would perhaps be that we owe our very progress and existence to technology. Are either of the views wrong ?
Not in my view. Both are equally valid. Too much of a good thing can be bad. But then, when we speak of humanity falling prey to technology, we really cannot generalise. In my view, technology is there to make life simpler and more advanced. It all depends on how we use it. Becoming a slave to technology is also a choice, as is using it judiciously. That's my view, and you, the reader, are welcome to yours. Neither of us would be wrong. The debates on Humanity vs technology have always been there and will continue to rage long after you and I are gone.
These quotes, however, bring out the essence of the debate, and I will let the slides speak for themselves.
Evovation - Evolutionary Innovation
Holistic and dynamic innovation processes
Evolution and Innovation
Linear, exponential and logistic growth
THE INNOVATION & TECHNOLOGY
This document discusses various technologies including 3D printing, autonomous vehicles, artificial intelligence, the internet of things, blockchain, and more. For each technology, it provides a brief description, current status, and potential issues or future developments. The overall message is that while many new technologies are rapidly developing and will continue advancing exponentially, some ideas like anti-gravity devices or overunity energy sources remain speculative or lack scientific explanation for now. Nature is presented as a model for technological innovation due to its ability to self-organize and crowdsource solutions over long time periods through evolution.
He who goes with wolves learns to howl.
This document discusses several topics related to technology and its impact on society. It notes that technology does not isolate us from problems but plunges us deeper into them. It also mentions that attention is the new currency and losing out on large audiences. Finally, it concludes by suggesting to syndicate interactive channels, synergize viral interfaces, transition intuitive podcasts, and to beware people who dislike cats.
State of technology and innovation (2017 edition)
Technology is progressing rapidly in many areas such as 3D printing, autonomous vehicles, the Internet of Things, and artificial intelligence. However, there are also major challenges and ethical issues that need to be addressed regarding privacy, security, and control over emerging technologies. Truly transformative technologies like room temperature superconductors, anti-gravity devices, or replicators are still far in the future if ever possible. Overall the document discusses both the promise and challenges of new and future technologies.
SXSW, the famous digital festival.
Like every year, BETC Digital travelled to Austin to bring you fresh inspiration and new ideas from SXSW, the famous digital festival.
Where is digital heading in the following years? We attended conferences by people such as Eric Schmidt, Julian Assange or Edward Snowden to gather their views of the topic.
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.
Technovation
This document provides an introduction and overview of technology and nanotechnology. It begins by welcoming the audience to Sootak since 2011 and introducing the chairman, Ezzeldin El-Shazli. It then discusses how technology has become integral to modern life. The document defines technical innovation, or technovation, as the development of new ideas and processes using technology. It provides several definitions of technology from different perspectives. The bulk of the document focuses on nanotechnology, defining it as the science dealing with structures on an atomic or molecular scale. It discusses pioneers in nanotechnology like Richard Feynman and inventors of the scanning tunneling microscope. In closing, it asks what would not be considered technology.
Fab Lab Society?
Presentation given to the 1st Social Fab Conference (Tokyo, 31 Aug 2013) and the "Beppu Bay Conference" (Oita, 1 Sept 2013)
Harper College Scholars Prez
This document provides an overview of creativity and innovation from the perspective of Maria Thompson, Director of Innovation Strategy at Motorola Solutions.
1) Thompson discusses the value of creativity for corporations, noting that creativity allows companies to solve problems, communicate new ideas, and provide novel solutions.
2) Examples are given of creative thinkers like Einstein, Edison, and Atanasoff who made breakthrough innovations through creative problem solving and thinking in new ways.
3) The importance of intellectual property like patents is explained, as it allows companies to protect their innovations and exclude others from copying their ideas.
Enthralled by the immediate hicss comple xity symposium - v4.0 - 5jan2016
This document provides a summary of a presentation on why humans have not adopted smarter city technologies faster. It discusses how human biology and neuroanatomy have programmed us to focus on immediate needs and threats, rather than long-term challenges. Some of the factors discussed include human phobias reflecting ancient biological programming, primitive reflexes remaining from early development, and Dunbar's number limiting how many social relationships we can maintain. The presentation argues that these biological factors have made it difficult for humans to recognize and address large, long-term issues like climate change and population growth.
Cyberspace før og nå (8390 KB)
Michelangelo di Lodovico Buonarroti Simoni (1475-1564) was an Italian sculptor, painter, architect, and poet of the High Renaissance era. The document discusses various topics related to the history of computing and the internet, including the invention of the computer by Von Neumann, the development of the microprocessor, the creation of ARPANET and the internet in the late 1960s and 1970s, and the development of the World Wide Web in the early 1990s. It also discusses concepts like augmented reality, videoconferencing, and the shift to a knowledge economy driven by information.
Securityand policing2015(2.05)
The document discusses opportunities and challenges for homeland security and policing in an era of accelerating change. It notes that many areas like technology, globalization, and innovation are accelerating rapidly while others remain constant. It argues that managing globalization and shrinking the "non-integrating gap" between connected and disconnected parts of the world will be important strategic priorities for security.
The Six Ds of Exponential Growth
The document discusses the "Six Ds of Exponential Growth" which describes the progression of exponential technologies. It was founded by Peter Diamandis and Ray Kurzweil to focus on scientific progress and exponential technologies. The six stages are: Digitalization, where technologies become represented by 1s and 0s and experience exponential growth; Deception, where the true potential is underestimated early on; Disruption, where technologies upend existing industries; Demonetization, where the cost comes out of technologies; Democratization, where access is provided to everyone; and finally Decentralization.
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.
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.
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.
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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.
New Technology Summer 2020 Course Introduction
Slides on the New Technology Summer 2020 Course. Contains information about the content and requirements.
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.
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.
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?
L09 Disruptive Technology
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.
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.
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.
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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Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Recently uploaded (20)
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
L05 Innovation
- 2. “I have not failed. I've just found 10,000 ways that won't work.” – Thomas Edison
- 3. Adjacent Possible The inventor must use the components that exist in his environment Steven Johnson
- 4. Combinatory Process New technology is created by combining other existing technology in new ways
- 5. Gall’s Law All complex systems that work, evolved from simpler system that worked
- 6. 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
- 8. The Resistance Corollary Even outdated things that should “disappear” don’t due to supposed importance
- 9. Complexity of Technology Local and linear Global and Exponential
- 10. Population Population explotion 7 billion people
- 12. Matt Ridley: When ideas have sex
- 14. Slide from Matt Ridley’s 2010 TED talk
- 15. How does innovation happen?
- 16. Who invented… Telephone Phonograph Combustion engine Photographic film Alexander G. Bell Thomas Edison Karl Benz George Eastman AC Motor Nikola Tesla Safety razor King Camp Gillette
- 17. The Brilliant Scientist working in his lab
- 20. Menlo Park 1876-1881 Tomas Edison
- 24. Innovation
- 25. Innovation DisruptiveSustaining Evolutionary Revolutionary
- 26. Innovation Sustaining Technology – Evolutionary An innovation that improves a product in an existing market in ways that customers are expecting Red Oceans - commodities
- 27. Innovation Sustaining Technology – Revolutionary An innovation that creates a new market by allowing customers to solve a problem in a radically new way May not be affordable enough to be disruptive
- 28. Ford Model T Innovation Disruptive Technology An innovation that creates a new (an unexpected) market by applying a different set of values. Affordable so the impact is major
- 29. How does innovation really happen?
- 30. "We take the ideas we've inherited or stumbled across, and we jigger them together into some new shape." – Steven Johnson
- 31. Exchange “It is through exchange that mankind has enjoyed huge rise in living standards” Matt Ridley
- 32. The Coffee House
- 36. Environment of the space Where people meet Where ideas have sex
- 38. The Liquid network A good idea is a network. Innovations happens with collaboration Steven Johnson
- 39. The Liquid network Innovations happen when ideas are shared Steven Johnson
- 40. The importance of cities
- 42. Unexpected consequence of new innovations The Hummingbird Effect
- 44. The Hummingbird Effect Smartphones DIY Drones iPad Printed press DIY Drones Filming effects, harvesting Games for 2-5 years olds Spectacles
- 45. Sir Isaac Newton
- 47. The Slow Hunch A lot of ideas linger on, sometimes for decades, in the back of people’s minds Steven Johnson
- 48. Source: http://www.britannica.com/EBchecked/topic/187881/Douglas-‐Engelbart Douglas Englebart 1965 Apple Macintosh 1984
- 49. Any technology that is going to have significant impact over the next 10 years is already at least 10 years old Source: http://www.businessweek.com/innovate/content/jan2008/id2008012_297369.htm The 10/10 Rule
- 50. The 10/10 Rule 10 years to build a new platform, 10 years for it to be adopted Steven Johnson
- 51. What do the following products have in common?
- 53. Serendipity The accident of finding something useful or good without looking for it Steven Johnson
- 54. "In the fields of observation chance favours only the prepared mind” - Louis Pasteur
- 60. Liquid network The Slow Hunch 10/10 Rule Serendipity