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.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power incresed. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh. In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
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.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power incresed. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh. In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
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.
This is an interpretation of an article from PCWorld. It is based on the fact that the seeping in of mobile technological devices like touch screen phones, etc have threatened the existence of PCs and laptops.
Do you want to know well about the APPLE Inc.. ?
WHEN ?
WHERE?
HOW?
WHO?
WHY?
Here is the
description about the APPLE technologies (Birth to Stev's end).
Games are powerful. People can spend a lot of time playing games. Games are also great motivators. People do things that don´t even like, if they feel like they are playing game. Gamififcation is the use of game mechanics to motivate people to do stuff they generally would not do.
In this lecture I will show that playing video games is not only for fun, but it is very good for you. People that play video games are just smarter!
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.
What is the future like? Can we predict the future? Doing so is not easy. Even if you have some ideas on how things are developing, convincing others is not easy.
However, there are some clear signs that can tell us what are the next big industries. We are now in the digital age and real time software is causing dramatic transformation of industries.
In this lecture we look at nine important trends that you need to know about.
This is an interpretation of an article from PCWorld. It is based on the fact that the seeping in of mobile technological devices like touch screen phones, etc have threatened the existence of PCs and laptops.
Do you want to know well about the APPLE Inc.. ?
WHEN ?
WHERE?
HOW?
WHO?
WHY?
Here is the
description about the APPLE technologies (Birth to Stev's end).
Games are powerful. People can spend a lot of time playing games. Games are also great motivators. People do things that don´t even like, if they feel like they are playing game. Gamififcation is the use of game mechanics to motivate people to do stuff they generally would not do.
In this lecture I will show that playing video games is not only for fun, but it is very good for you. People that play video games are just smarter!
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.
What is the future like? Can we predict the future? Doing so is not easy. Even if you have some ideas on how things are developing, convincing others is not easy.
However, there are some clear signs that can tell us what are the next big industries. We are now in the digital age and real time software is causing dramatic transformation of industries.
In this lecture we look at nine important trends that you need to know about.
The smartphone has completely changed how people communicate, collaborate, discover, shop and do all sorts of things. This always-on device is in order of magnitude more powerful than the biggest computers in the 60s and now we carry it with us wherever we go. Smartphones combined with cloud technologies and real-time algorithms, are moving us to a transformation phase as software algorithms will transform traditional businesses be it in retail, banking, construction, education and so on. We are entering times of great disruption.
Presentation at Nýherji's AI conference 18.10.2016
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power incresed. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh. In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power incresed. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh. In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In the second part we look at where software is going, namely Artifical Intelligence. Resent developmens in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
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.
Seminar report on Raspberry Pi, submitted in SEMINAR subject of GTU Gujarat Technological University by Nipun Parikh from Bhagwan Mahavir College of Engineering & Technology
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.
Write a 7 page paper in APA format.The research paper should in.docxmayank272369
Write a 7 page paper in APA format.
The research paper should include the following sections. Discuss the competitors, future, and innovations with computing. Using the outline below:
Cover page
Introduction – (Thesis statement and Purpose of paper)
Background – Background and History on the concept
Discussion – Discuss current issues, innovation, and future use. Support the topic with any necessary sources. Be sure to include in-text citations.
Conclusion – Summary of main points
Theory in Action: IBM and the Attack of the Clones
In 1980, IBM was in a hurry to introduce a personal computer. When personal computers first began to emerge at the end of the 1970s, most of the major computer manufacturers considered it no more than a peculiar product for a hobbyist market. The idea that individuals would want personal computers on their desks seemed ludicrous. However, as total U.S. personal computer sales reached $1 billion, IBM began to worry that the personal computer market could actually turn out to be a significant computer market in which IBM had no share. To bring a personal computer to market quickly, IBM decided to use many off-the-shelf components from other vendors, including Intel's 8088 microprocessor and Microsoft's software. However, IBM was not worried about imitators because IBM's proprietary basic input/output system (BIOS), the computer code that linked the computer's hardware to its software, was protected by copyright. While other firms could copy the BIOS code, doing so would violate IBM's copyright and incur the legendary wrath of IBM's legal team. However, getting around IBM's copyright turned out not to be difficult. Copyright protected the written lines of code, but not the functions those codes produced. Compaq was able to reverse-engineer the BIOS in a matter of months without violating IBM's copyright. First, a team of Compaq programmers documented every function the IBM computer would perform in response to a given command, without recording the code that performed the function. This list of functions was then given to another team of “virgin” programmers (programmers who were able to prove that they had never been exposed to IBM's BIOS code).a These programmers went through the list of functions and wrote code to create identical functions. The result was a new BIOS that acted just like an IBM BIOS but did not violate its copyright. Compaq sold a record-breaking 47,000 IBM-compatible computers in its first year, and other clones were quick to follow.
a R. Cringely, Accidental Empires (New York: HarperCollins, 1992).
Writ
e a 7 page paper in APA format.
The research paper should include the following sections. Discuss the competitors, future, and
innovations with computing.
Using the outline below:
Cover page
Introduction
–
(Thesis
statement and Purpose of paper)
Background
–
Background and History on the concept
Discussion
–
Discuss current issues, innovation, and future use. Support the to ...
Fyrirlestur fyrir Félag tölvunarfræðinga og Verkfræðingafélagið þann 18.05.2022
Nýsköpun er forsenda tækniframfara sem eru forsendur framþróunar. Nýsköpun byrjar yfirleitt smátt og þarf margar ítranir til að virka. Frumkvöðlar sem eru að búa til nýjungar þurfa ekki einungis að glíma við tæknina og takmarkanir hennar, heldur einnig skoðanir og álit samtímamanna sem sjá ekki alltaf tilgang með nýrri tækni. Í þessum fyrirlestri skoðar Ólafur Andri nýsköpun og þær framfarir sem hafa orðið. Einnig skoðar hann hvert tækniframfarir nútímans muni leiða okkur á komandi árum.
Ólafur Andri Ragnarsson er aðjúnkt við Háskólann í Reykjavík og kennir þar námskeið um tækniþróun og hvernig tæknibreytingar hafa áhrif á fyrirtæki. Hann er tölvunarfræðingur (Msc) að mennt frá Oregon University í Bandaríkjanum. Ólafur Andri er frumkvöðull og stofnaði, ásamt fleirum, Margmiðlun og síðar Betware. Þá tók Ólafur Andri þátt í að stofna leikjafyrirtækið Raw Fury AB í Stokkhólmi.
Fyrirlestur haldinn fyrir tæknifaghóp Stjórnvísi þann 13. október 2020.
Undanfarna áratugi höfum við séð gríðalegar framfarir í tækni og nýsköpun á heimsvísu. Þessar framfarir hafa skapað mannkyninu öllu aukna hagsæld. Þrátt fyrir veirufaraldur á heimsvísu eru framfarir ekkert að minnka heldur munu bara aukast næstu árum. Gervgreind, róbotar, sýndarveruleiki, hlutanetið og margt fleira er að búa til nýjar lausnir og ný tækifæri. Framtíðin er í senn sveipuð dulúð og getur verið spennandi og ógnvekjandi í senn. Eina sem við vitum fyrir vissu er að framtíðin verður alltaf betri. Í þessu fyrirlestri ætlar Ólafur Andri Ragnarsson kennari við HR að fjalla um nýjustu tækni og framtíðina.
Technology is one of the factors of change. When new disruptive technology is introduced, it can change industries. We have many examples of that and will start this journey it one of the most important innovation that has come in our lifetimes, the smartphone. We will explore the impact of the smartphone and the fate of existing companies at the time when iPhone, the first smartphone as we know them, was introduced to the world.
We will also look at other examples from history. Then we look at the broader picture, past industrial revolutions and the one that we are experiencing now, the fourth industrial revolution. Specifically we look briefly at the technologies that fuel this revolution, for example artificial intelligence, robotics, drones, internet of things and more.
Manlike machines have fascinated humans since ancient times. The modern robots start to take shape with the industrial revolution. In the 20th century robots were mostly industrial machines you would see in factories, like car factories.
Today, robots can have sensors, vision, they can hear and understand. They can connect to the cloud for more information. However, we are still in the early stages of robotics and robots will need to go a long way to become useful as a ubiquitous general purpose devices.
The normal interaction with computers is with keyboard and a mouse. For display a rectangular somewhat small screen is used with 2D windowing systems. The mouse was invented more the 40 years ago and has been for 20 years dominant input. Now we are seeing new types of input devices. Multi-touch adds new dimensions and new applications. Natural user interfaces or gesture interfaces where people point to drag objects. Computers are also beginning to recognize facial expressions of people, so it knows if you are smiling. Voice and natural language understanding is getting to a usable stage. All this calls all types of new applications.
Displays are getting bigger. What if any surface was a screen? If you could spray the wall with screen? Or have you phone project images to the wall.
This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
Local is the Lo in SoLoMo, the buzz word. Local is not only about location, it's also about your digital track record. Over 70% of Netflix users watch the films recommend. Mining data to understand people's behaviour is getting to be a huge and valuable business. Advertisers see opportunities in getting direct to their target groups. Predictive intelligence is also about where you will be at some time in the future, and where somebody you know will be.
It turns out that Facebook and Google know you better than you think you know yourself. The world is about to get really scary.
Over two billion people signed up for Facebook. This site the most used site for people when using the Internet. People are not watching TV so much anymore - they using Facebook, Youtube and Netflix and number of popular web sites.
Some people denote their time working for others online. What drives people to write an article on Wikipedia? They don´t get paid. Companies are enlisting people to help with innovations and sites such as Galaxy Zoo ask people to help identifying images. And why do people have to film themselves singing when they cannot sing and post the video on Youtube?
In this lecture we talk about how people are using the web to interact in new ways, and doing stuff.
With the computer revolution vast amount of digital data has become available. With the Internet and smart connected product, the data is growing exponentially. It is estimated that every year, more data is generated than all history prior. And this has repeated over several years.
With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data. There are many well-know algorithms to analyse data, like clustering and machine learning.
We are currently living in times of great transformation. We have over the last couple of decade seen the Internet become the most powerful disrupting force in the world, connecting everyone and transforming businesses. Now everyday objects - things we use are getting smart with sensors and software. And they are connecting. What does this mean?
We will see the world become alive. Cars will talk to road sensors that talk to systems that guide traffic. Plants will talk to weather systems that talk to scientists that research climate change. Farming fields will talk to the farming system that talks to robots that do fertilising and harvesting. Home appliances like refrigerators, ovens, coffee machines and microwaves ovens will talk to the home food and cooking system that will inform the store that you are running out butter, cheese, laundry detergent and coffee beans, which will inform the robot driver to get this to your house after consulting your calendar upon when someone is at home.
In this lecture we explore the Internet of Things, IoT.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialisation of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 5 billion unique mobile phone subscriptions in the world and of them about 2.5 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the mobile market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
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.
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organisational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all their songs on YouTube? What is the future business model for music?
One of the great irony of successful companies is how easily they can fail. New companies are founded to take advantage of some new technology. They become highly successful and but when the technology shifts, something new comes along, they are unable to adapt and fail. This is the innovator’s dilemma.
Then there are companies that manage to survive. For example, Kodak survived two platform shift, only til fail the third. IBM has survived over 100 years. What do successful companies do differently?
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
Technology evolves in big waves that we call revolutions. The first revolution was the Industrial revolution that started in Britain in 1771. Since than we have see more revolutions come and how we are in the fifth. These revolutions follow a similar path. First there is an installation period where the new technologies are installed and deployed, creating wealth to those who were are the right place at the right time. This is followed by a frenzy, where financial markets wants to be apart. The there is crash and turning point, followed by synergy, a golden age.
In 1908, a new technological revolution started. It was the Age of Oil and Automobile. The technology trigger was Henry Ford´s new assembly line technique that allowed the manufacturing of standardized, low cost automobile. This created the car industry and other manufacturing companies. This also created demand for gas thus creating the oil industry. During the Roaring Twenties the stock prices rose to new levels, until a crash and the Great Depression. Only after World War II, came a turnaround point followed by a golden age in the post-war boom.
In this lecture we look at a framework for understanding technological revolutions. There revolutions completely change societies and replace the old with new technologies. We will explore how these revolutions take place. We should now be in the golden age phase.
We also look at generations.
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
When innovators try to envision how people will use their product they often have different ideas on what people want. Products that are of superior technology may fail and inferior succeed, only because the inferior product has some features that people are looking for.
In this lecture we look at how new products or technologies get adopted my markets. We look at the Law of Diffusion of Innovation, which explains how this adoption happens. We also look at what it takes for a new innovation to move from being a visionary idea to a practical product, or crossing the chasm. Finally we explore the hype cycle.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, the hummingbird effect, and serendipity.
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
3. Software
As computers became more powerful and more common, a new
problem surfaced: software
!
Development of computers was a hardware problem
!
Software or programs did not get the same attention
!
Operating systems were primitive and programming
was done at a very low level
4. The Software Crisis
Software Engineering was not a established field
!
Became known as The Software Crisis
“[The major cause of the software crisis is] that the
machines have become several orders of magnitude more
powerful!”
-Edsger Dijkstra, The Humble Programmer
Source:
Software_crisis
5. Operating Systems
IBM developed OS/360 for System 360
!
DEC developed VMS for VAX
!
Unix was grew out individual efforts as response to Multix
!
System V, BSD, Solaris
!
Minix was an academic effort, Linux grew out of frustration with Minix licence
6. Programming Languages
!
FORTRAN!
Mathematical Formula Translation System
Released in 1957
!
Higher level language that became
breakthrough in writing software
!
Created by John Backus of IBM
!
Came on 2.000 punched cards
Other languages followed: COBOL, Algol
7.
8. May 25, 1961
Status:!
!
Mainframe era, mini computer early days
!
Transistor era, integrated circuits just invented
!
Programming languages new
9. “The
space
program
badly
needed
the
things
the
integrated
circuit
could
provide.”
-‐
Jack
St.
Clair
Kilby
10. Semiconductor Industry is Born
Robert Noyce and Gordon Moore founded Intel
Semiconductor company
!
Initial focus was on memory chips
!
There was still enormous potential market for calculations
!
The vision of Charles Babbage was still not realised but the mainframe
market met the needs of governments and large organisations
11. The Microprocessor
Intel introduced the first microprocessor 4004 in 1971
!
8008 in 1972, 8080 in 1974 and 8088 in 1979
!
The beginning of the PC
12. The Microprocessor
Intel was really reluctant to go into the microchip business
!
No market existed
No demand at the time
!
Intel created 4004 for another company
They would not market chips, but built them when ordered
14. The Calculator
Advances in technology introduced the
desktop calculator
!
The market grew fast
With advances, the calculators became more powerful and smaller
!
Pocket calculators
Became widespread in the 70s
!
Replaced the slide rule after 374 years
15. Calculator Wars
Many companies start to make Calculators
Casio, Sharp, Canon, HP, MITS and more
!
In Europe, Aristo, Denner & Pape, a slide rule manufacturer
since 1872, also entered the market in 1972
!
Price dropped fast: $400 in 1972, $200, $100 and $50 in 1974
!
Companies like MITS need to find new ways of revenues
16. Think about this!
All mini-computer companies had
what it would take to go into small
scale products – they even had
people proposing the idea, but they
did not!
18. The Personal Computer
MITS marketed Altair in 1975
Came with Intel 8080
!
Users needed to assemble the machine themselves
No keyboard, no screen, no printer
256 byte of RAM, programmed with switches
!
Included BASIC interpreter from Microsoft
Written by Bill Gates and Paul Allen
Cost of $397 appealed to computer enthusiasts
19. Microsoft is Born
Bill Gates and Paul Allen!
!
Wrote a BASIC interpreter
for the Altair
!
Founded a company they called
Micro-Soft
20. Enter Apple
Steve Jobs and Steve Wozniak!
!
Show the Apple I in the Palo Alto
Homebrew Computer Club in 1976
!
Apple II was marketed 1977 and became a huge
success - “Apple growth”
!
Hewlett-Packard had turn Wozniak down – no market
22. Computer Companies
Existing computer companies were not interested in PCs
!
DEC, HP, IBM, and Control Data did not see a business model
HP rejected a proposal from Steve Wozniak
DEC rejected a proposal from David Ahl
!
Support for machines like this was considered impossible
!
Consequence:
The development of the PC had to begin with hobbyists
25. The Software Industry
First applications were non-serious
!
Soon business applications started to emerge
!
VisiCalc was the “killer-app” 20% of computer
sales was due to this program
!
Other business apps appeared:
Ledgers, payrolls, inventory, etc.
!
Disruptive technology
26. Killer Apps
Dan Bricklin and Bob Frankston
Created VisiCalc, the first spreadsheet
The spreadsheet created a new market
!
People bought the hardware to run the software
27.
28. Q4
IBM successfully entered the PC
market – according to RPV
theory this would be difficult.
How did they do this?
29. IBM PC
IBM decided to enter the PC revolution
!
The company was loosing market share, competition was growing
!
Project “Chess”!
Bill Lowe was given one year to create a Personal Computer – “Acorn”
!
Lowe and his team – “Dirty Dozen”, went to work in Boca Raton, FL
!
Looked for parts outside of the company
30. The War of the OS
IBM needed an Operating System
!
Most popular system was Digital Research CP/M, created by Gary
Kildall
!
Microsoft was providing programming languages
and suggested that IBM make a deal with DR
31. The Birth of the Microsoft DOS
Robert X. Cringely PBS documentary
32. The War of the OS
IBM decided on PC-DOS from Microsoft which bought the OS from
another company
!
Negotiated revenue sharing with IBM
In the 80s, DOS had 90% of the OS market
36. Enter the Clones
IBM released all the specification of the machine
Open system
!
This allowed new entrants to create IBM compatible machines
Compac was one of them
37. Enter the Clones
IBM controlled the market for a few years
!
They rationalised their product lines - deliberately restricted
performance of lower-priced models in order to prevent them from
cannibalising higher-priced models
!
The Compac passed them in 1986 with the Intel 386 machines
!
The PC market took off
!
IBM started to loose market share
38. PC Compatible Machines Ruled
Early 80s IBM PC became the standard
hardware
!
MS-DOS became the industry standard OS
!
Command Line Interface – CLI
Text User Interfaces – TUI
43. The Demo in 1968
Doug Engelbart at the Augmentation
Research Centre in Melno Park
!
Demonstrated the future of computing
44. Features
A pointing device – the Mouse
Hypertext, graphical user interface
Dynamic file linking
!
Shared-screen collaboration involving
two persons at different sites
communicating over a network with
audio and video interface
46. Xerox Parc
Xerox created a lab in 1970
!
Palo Alto Research Park – PARC
!
PARC was a place for visionaries
!
The Alto computer system had
Graphical User Interface – GUI
and a mouse as an input
!
Desktop metaphor with Files and folders
Alto Computer 1972
49. Graphical User Interfaces – GUI
Steve Jobs visited Xerox PARC 1979
Negotiated at deal with Xerox
!
They showed him:
Object Oriented Programming!
Computer networks!
Graphical User Interface!
!
Apple started to work on this vision
The Pirate Years
50. RPV Theory
Xerox had just build the
OS of the future but they
did nothing with it
51. Graphical User Interfaces – GUI
Desktop metaphor
Point,
activate,
select
Windows,
scroll
bars
Point,
Click,
Drag
Menus
Files,
folders
Icons
Graphical
fonts
Clipboard,
cut
and
paste,
undo
52. Apple Lisa
First commercial computer with a GUI
Introduced in January 1983
Cost $9.995!
Motorola 68000 CPU at a 5 MHz clock rate and had 1MB RAM
!
Featured cooperative (non-preemptive)
multi-tasking and virtual memory
!
53. Apple Lisa
First commercial computer with a GUI
Introduced in January 1983
Cost $9.995!
!
Impact:
Business failure
Too expensive
Too slow
!
!
55. Macintosh
In 1984, Apple launched Macintosh
Cost $1.995!
!
Graphical User Interface
!
This set the standard for Operating Systems
!
Specification:
128 KB of RAM
Screen was a 9-inch,
512x342 pixel monochrome display
56. Macintosh
Acceptance was slow
The Mac was underpowered
The GUI required memory and power
!
Writing Software was difficult
!
Gained popularity in education and with
graphical designers – desktop publishers
!
Not so popular in the traditional business sector
Microsoft provided applications (office apps)
57. Others Join the Game
Microsoft launched Windows 1.01 in 1985
!
Gates and Microsoft believed Graphical User Interfaces
were the future
!
Regarded Front-end to DOS
!
Other players
IBM TopView, DR GEM
!
Impact
Software companies ignored Windows
The business sector was not ready
58. DOS was in Crisis
By 1985 Microsoft had released DOS 3
!
But frustration increased
59. DOS was in Crisis
Single task system – you can only run one program at the time
!
The 640 KB memory barrier
TSR – Terminate and Stay Resident
became popular but was causing problems
!
Users were looking for multitasking
!
Run more than one program at a time
!
More advanced operating system was needed
60. Windows 3.0
Windows finally became usable
Released May 1990
!
Better use of memory
Multitasking
Used the 286 and 386 hardware better
Support for CD-ROM
Solitaire
!
Impact:
First GUI used by the
PC market
The end of DOS, finally
64. Windows 95
Microsoft turned to consumers
Windows 95 was targeted at the consumer market
Support for the Internet
Internet Explorer
Friendlier user interfaces
!
Impact
Released with great fanfare
Came to dominate the OS market
The OS become more important than the hardware
69. Lessons
▪ Shift from hardware to software
▪ None
of
the
minicomputer
makers
became
a
significant
factor
in
the
desktop
personal
computer
market
▪ The
PC
was
disruptive
technology
▪ The
minicomputer
users
were
not
buying
PCs
–
yet
▪ This
created
a
new
set
of
entrants:
Apple,
Tandy,
Commodore,
and
IBM
70. Lessons
▪ In
the
late
1980s
the
performance
of
PCs
met
the
needs
of
minicomputer
users
▪ This
severely
wounded
minicomputer
makers
–
many
of
them
failed
▪ At
same
time
IBM
succeeded
in
entering
the
PC
market
–
how?
▪ It
created
an
autonomous
organization
in
Florida
–
far
away
from
it’s
New
York
headquarters
▪ They
created
the
PC
market
▪ Then
headquarters
took
control
and
lost
control
to
the
Clones
71. Lessons
▪ Xerox mangement did not enter the
computer market
▪ PARC members tried to show management –
but they “just didn’t get it”
▪ Xerox is in the copying documents business –
their customers were not asking for computer
systems
▪ Visionary Computers did not fit their
resources, processes and values
– RPV theory
72. Lessons
▪ Doug Englebart envisioned the future of
computers
▪ Xerox PARC built the visionary computer –
but did not pursue it
▪ Early enthusiast like Ed Roberts of MITS and
others did not get rich of computers and
software
▪ Visionaries like Dan Bricklin and Bob
Frankston invented VisiCalc – did not make
much money
73. Lessons
▪ Bill Gates saw the potential of software and
started Microsoft
▪ Took the opportunity with MITS
▪ Focused on software
▪ Gary Kildall invented the C/PM system but
Microsoft bought similar OS and succeeded
▪ Wrote software for Apple and later Macintosh
▪ You don’t have to have superior products to win
▪ You don’t have to invent technology – just use it
74. Lessons
▪ Apple and Steve Jobs saw the potential of
computers and then GUIs
▪ GUI were slow to appear
▪ Infrastructure product - needs software and users
▪ Stretched the hardware at the time
▪ Disruptive with new market – consumers
▪ Apple Lisa failed – lacking in performance
▪ The Macintosh started slowly and found some
niche market in Desktop Publishing and schools
75. Lessons
▪ Windows 95 was marketed to the consumer
▪ First mass market of Operating Systems
– The Internet helped
▪ Today we have three major Operating
Systems
– Linux (Unix based)
– MacOS (Unix based)
– Windows
77. PC Evolution
Software
OS
era
Windows,
Office,
MacOS
Hardware
era
PC,
Mac
1975
1980
1985
Internet
Hardware
Connects
1990
IBM
PC
Apple
1995
2000
Microsoft
2005
Software
web
era
Web
2.0,
Social
2010
2015
Internet
of
things
79. Miniature Computers
Small devices that have computer power
Wireless capabilities
Dedicated devices
Enough computer power for limited functionality
!
Examples
RFID
UAV – Unmanned Arial Vehicles
Internet of things
Siftables
82. The Future of the PC
How long will the Hard Disk Drive last?
Solid state memory is getting bigger
Terabit Flash Memory
Computer architecture will change
More and more devices are
using Flash memory
Driving prices down
85. The Network is the Comptuer
The Internet cloud
!
More programs and data is stored on network
servers
!
The Personal Computer becomes one of the form
factors to access the network
!
Examples
Amazon API
Google Apps
Facework Platform API
86. Tom Watson was wrong – there
is not room for five computers.
It’s only one
87. What about Moore’s Law
Shift to multicore started in
2005 – new dimension
89. What about Moore’s Law
$1,279-‐per-‐hour,
30,000-‐core
cluster
built
on
Amazon
EC2
cloud
90. How will we interact with
computers in the future?
!
Assume that the desktop
metaphor with mouse and
desktop and files – is dead
MISSION:
E NEXT CLASS
FIND OUT BEFOR