Weird but true facts about technology

There is no doubt that technology has done more good than harm. However, you can marvel or get astonished by these absurdities that happen around technology.

QWERTY was made to slow you down

Two theories explain why QWERTY was made. The first one conforms to manual typewriters. If someone typed too fast, they would jam.  Therefore, common alphabets were placed far from each other to slow down typists. The second theory is that telegraph designers opted for the QWERTY layout as it was faster and easier to code. Eventually, people got used to QWERTY and were resistant to change. However, you can buy a DVORAK keyboard.

Domain name registrations were free until 1995

Nobody had an idea what the internet could do, and people would choose their domain of choice at zero cost. However, not many people knew the importance of having a domain name, so they let the opportunity pass. A company known as Network Solutions was allowed to charge for domain names in 1995. It was costly, with prices starting from $100 every two years.

Changing fonts save printer ink

Fonts on your Microsoft office aren’t created equal, and the same applied to their ink consumption rates. When choosing the font to use porno, you may consider many factors like the type of message and the recipient. What you may not be aware of is that the font type can go a long way in saving you ink. Fonts with light strokes use less ink. Assuming that you are using an inkjet printer that utilizes cartridges, you may save at least ten percent of ink by using a lighter type. Unfortunately, a home consumer may not realize the difference because they print small volumes.

Russia made a computer that ran on water in 1936

Before transistors were minimised, computers had visible counting systems like levers, beads, pivots, and gears. Therefore, they required a stable power source to operate. In 1936, Russians launched a machine that could run on water. Strangely enough, the device could solve differential equations!

Email existed before the World Wide Web

How much thought do you give into the emails you send? Possibly you don’t think about much besides the message you want to convey. Sending emails wasn’t as easy as it currently is. You needed to use a computer, coupled with a rotary telephone, to link to a service known as Micronet. Since it was before WWW, there weren’t URLs; there were only numbered webpages.

In 1956, 5MB weighed a ton

When IBM launched RAMAC in 1956, everybody was excited. Finally, there was a breakthrough in modern ways of storing data. However, the inventions we have now outweigh the RAMAC by far. The technology occupied an entire cabinet that was about a ton heavy. Five megabytes of data was spread over fifty large aluminum disks that were coated with iron oxide. The drives would rotate at a speed of 1200 rotations per minute. If you wanted to lease the RAMAC, you would have to spend $3,200 per month back in the 50s.

6 Trends Driving the Future of Information Technology

Information technology doesn’t stand still. It is an ever-evolving field that presents new surprises every passing day. The list of the present technology is endless and overwhelming. At the same time, there is an infinite list of trends to watch out for in the coming years. Here is what may define tech in 2020 and beyond.


1. Autonomous things

We have seen drones break technology barriers, such as security applications and in drug deliveries. Information technology scientists are investing mainly in independent things like drones and robots. Therefore, we expect to see more of such advancements in the future. By the look of things, artificial intelligence might even take over industrial operations.

2. Digital twins

Have you ever heard of a digital twin? It is the technological representation of a “real world” system or entity. It is estimated that by 2020, there will be over 20 million connected endpoints and sensors. That way, digital twins will come to life in billions of things. They will evolve over the years, and eventually, their ability to visualize porno and collect the proper data will improve.

3. Cloud computing

A survey by IDG in 2018 revealed that cloud computing has come of age and that we should expect more developments. Over three-quarters of enterprises have at least one or more application in cloud computing. Revenue from this tech amounted to over $60 US million in 2018. This year, there has been a rise in these figures. By default, we expect to see more of it over the coming years. There will be a shift from the simple infrastructure solutions to creating cloud technologies that can drive profits.


4. Blockchain evolution

Most of us associate blockchain with cryptocurrencies, but there is more to it. The technology has been expanding since its inception, and the trend is not likely to change. The focus is expected to be on building a robust industrial image for the brand, which will separate it from bitcoin and other technologies. There is a chance that bitcoin will converge with other technologies like IoT and fog computing. In the process, more practical cases will come up, and the demand for blockchain will increase.

5. 5G proliferation

At some point, 4G seemed more of a fantasy than an invention. Now that it is the norm, everyone is looking for greener pastures, and in this case, that is 5G. We expect 5G smartphones to be launched in 2020 and gain popularity over the next few years. At this rate, 10G is at the corner of reality. In the meantime, let’s all sit and wait in anticipation for 5G.

Was Bitcoin a Bubble After all?

Around this time last year or the year before that, there was hardly any trending news that didn’t have Bitcoin in it? Now that nobody is talking about the currency that was to take over the world’s economy, very many questions remain unanswered. Was Bitcoin a bubble after all? Let’s say it wasn’t meant to last, was it the biggest bubble of all time? Let’s dig in!


Cryptocurrency bubble prediction by Hyman Minksy

A 20th-century economist known as Hyman Minksy is known to have been the first person to talk about the cryptocurrency bubble. Here is a sneak peek of his prediction’s framework.
He divided it into five stages:

  1. Displacement – New technology that would make lead investors believe that profits will rise
    Boom – There will be a steady increase in the price, which will ultimately outpace the significant enhancements associated with tech porno.
  2.  Euphoria – Prices will increase to unbelievable amounts as investors buy the asset because they think they will sell it at a high price in future.
  3. Profit-taking – Some investors will fear that the bubble might burst, and they will start harvesting profits. The less sophisticated investors that are newer in the market will be willing to purchase the asset during this stage.
  4. Panic – Prices will fall fast and hard since investors will start disposing of their assets. The plunge will increase if the investors took loans to buy the assets.

Although not all assets obey the Minksy’s framework, it is pretty evident that bitcoin has taken this route.


Where it all started

When Bitcoin first hit the market, its prices skyrocketed in a few weeks, and then they dropped. They increased again, and this time nobody was willing to be left behind. So, everyone bought a share of the ‘big cake’ with the hope that they would profit from it. The demand was high, and the supply was low. It led other entrepreneurs to find their way into the market too. That’s how dozen other cryptocurrencies were launched.

Does bitcoin have a future?

For over two years now, we have seen dozens of predictions on how Bitcoin will flourish and why people should invest in it. By now, we know that these predictions were false. So, is there any future in cryptocurrency?

According to a paper published on Forbes in July 2019, the digital currency doesn’t have much hope. Panos Mourdoukoutas, who was the article’s contributor, said that prices might be on a roller coaster for a while. After that, Panos predicts that the currencies will either die on its own on being killed by the establishment of powerful banks and governments.

What is the way forward?

The public had attached a lot of hope on Bitcoin and other cryptocurrencies because they were to become global currencies. Although the ‘general public’ may have accepted Bitcoin as a standard medium of exchange, it must overcome several obstacles, such as stability, familiarity, and awareness. Unpredictability makes digital currencies like Bitcoin unpopular. Therefore, their chances of gaining broad adoption are slim, if none.

How to Get Into Programming

silver MacBook turned on

Are you tired of your current career? Do you want to delve into a career in programming and become a programmer? Or you are keen to learn to program. If so, this article will guide your initial steps. Programming entails writing programs to enable a computer to solve problems or perform a certain task. A programmer’s work involves writing, testing, debugging, modelling, and maintaining computer programs. The skill of programming is high in demand and can lead to various professional fields. Here is a guide on how to start programming.


1.   Understand your Motive for Learning Programming

Why do you want to learn to program computers? This is an important question whose answer will guide you on which path to take. Maybe you think programming is cool, have an idea project that you want to implement, or you want to make a career out of programming. Understanding what you need to do with your programming skills will influence the course to take and the programming language to learn.


2.   Pick a Programming Field

There are different types of programming. You need to identify which field of programming you want to pursue porno. Some popular areas of programming include;

·         Software programming

As a software programmer, you are responsible for developing software. You will often get an idea or design from a client and write code to implement the concept into a working product.

·         Web development

This field entails creating websites. There are two categories of web developers.

Front-end or client-side developers write code to implement how the website will look and how the site’s contents will be presented.

Back-end or server-side developers are responsible for coding web applications and frameworks on which the website will run.

It is good to learn both so that you can develop your websites from scratch to finish.

man using laptop in front of brown chair

·         Mobile app development

This field entails creating new, useful, and exciting applications to meet the demand of smartphone users. With the growing number of smartphone users, app development is among the most lucrative programming field.

·         Data science

This is your option if you work in research and academia. Your role as a data scientist entails writing programs that analyze and manipulate scientific data.


3.   Pick a Programming Language Related to Your Field

For web development, you can start learning HTML/CSS and progress to JavaScript and ruby. Python language is ideal for data science, software development, artificial intelligence, and embedded code. If you venture into mobile app development, you can consider learning Java, C++, or Swift for iOS apps. PHP, ASP.NET, and Node.js are suitable for server development. You can start with the .NET framework, WinForms, C, C++, or Java if you want to do software programming.


4.   Research Widely

Find various blogs, magazines, articles, podcasts, and videos that deal with your preferred language. These are good platforms for learning and finding solutions to errors in your code.


5.   Keep Practicing

man facing three computer monitors while sitting

After learning a programming language or two, the key to becoming a good programmer is practice. Practice writing code and learn every day. You can write your programs and share them with others who critique your work. Practice until you are fluent with every aspect of the programming language you chose.


6.   Never Stop Learning

Programming is a continually and rapidly developing field. The skills you learn today are not enough to make you the best programmer for the future. As technology continuously evolves, you need to continually update your skills, learn new skills and new programming languages.


7.   Build a Portfolio of your Work

A key aspect that will get you into the profession of programming is to build a portfolio. Have a decent portfolio that you can present to prospective employers and clients. You want to stand out from the rest when applying for an entry job, and your portfolio will help you stand out.

5 Tips for Programming Beginners


If you have a burning desire to code but don’t know how steep the gradient is, consider these tips to help you break into the field.

black laptop computer turned on on table


Whether you want to learn how to program for fun or as a career, you will likely have many questions about the new venture. Many students start enthusiastic but lose their vigor on the way because of a lack of guidance. This article will discuss some important tips to follow as a beginner in programming.


1.     Master the Basics for Long-Term Benefits

No matter how simple they seem, programming fundamentals should come first. Students who rush to choose a language before mastering the nitty-gritty end up in distress. The new terms might seem complicated, but they are important. Here is a simplified explanation of porno:

·         Variables

They refer to methods of storing information in any program

·         Syntax

Set of rules that define the programming language and grammar

·         Control structures

They determine the variables to used according to the existing parameters

·         Tools

Software that will help you program faster

·         Data structures

Various methods of storing and accessing data


2.     Choose the Right Programming Language

Back in the day, C++ was considered the primary programming language. You probably learned it in high school as a mandatory subject. Now the tides have changed, and Python is now the new basic for most people. When selecting a language, go for one that demonstrates low-level concepts. Also, avoid the popular ones if possible.


3.     Code by Hand: It Refines Your Proficiency

person writing on brown wooden table near white ceramic mug

Hard drives will get lighter, computers thinner and programming languages more powerful, but coding by hands remains effective. Whether you are using a notebook or a whiteboard, coding by hand requires caution and high precision. Unlike when coding on a computer, you cannot run hand-written code halfway to see if it works. Although it’s more time consuming, this precision will mold you to become an efficient programmer.


4.     Learn By Doing

Remember this adage, “if you fail to use it, you will lose it.” The sooner you start playing with the code, the faster you will grasp the new concept. Even after blazing through a whole chapter of reading a topic, you cannot implement it unless you practice. You’ll keep wondering what the next piece of syntax was. Consider building a project as you go through the material because a personal project is a good starting point.


5.     Take Breaks When Debugging – It Helps

person using laptop computers

It’s easy to go down the rabbit holes for hours when you are debugging. Unfortunately, there is no assurance that you will fix the issue. To avoid getting a breakdown, step away for a few hours. The bug won’t go anywhere if you decide to step down and clear your mind. You might come back with a new outlook that will help you fix the issue.



On top of these five tips, the most important aspect of learning how to program faster is to stay confident. Know that you might repeatedly fail, so be patient with the process. Becoming an expert at anything often takes perseverance, hard work, and time. Whether you are in college or at a boot camp, believe in yourself.

5 Ways Technology Impacts Your Quality of Life

Technology advancements make it easier for us to go through our daily lives. When you get caught up with it, you feel the effect in your home, workplace, and community. Technology is engraved into our lives to the extent that we cannot live without it. The developments humanity has experienced over the years are responsible for creating useful resources that enhance the quality of life. Here is how technology has made our lives easier:

1. Faster communication

Do you remember when businesses relied on messengers, and you had to wait for the newspaperman in the morning to know the current trends? You probably don’t recall such events because you were born in an era of improved communication. However, those that were privileged film xnxx to have been born in the 1900s understand that communication has come a long way. Can you imagine having to ask a girl out through a letter and wait for the reply days later? That would be a tough wait. Thanks to technology, you can communicate quickly, share memories on social media, and keep in touch with your friends and family members. However, you should be cautious not to lose sight of the people that are physically around you while you chase your online connections.

2. High-quality education

Technology has made it easier for the transmission of knowledge. Firstly, it has expanded access to education because of the many materials available both online and offline. Now there are online schools that you can enroll and acquire a degree from your home. New ways of learning have increased communication between students from all corners of the globe.

3. Enhanced lifestyle and housing

Housing and lifestyle have also been affected by modern technology. Most of the items we use in our homes are automated, which improves quality of life. The ease of doing household chores makes you film porno tukif more organized and safer against hazards. Thanks to automated doors, lighting, and security cameras, we can watch over our homes without lifting a finger. Also, there is unlimited information online that eases our access to news. The availability of e-commerce not only promotes businesses, but it also gives consumers an easy time shopping.

4. Convenience traveling

Before technology came to life, travelers relied on winds to sail from one continent to another. Today, you can leave your country and be in another place thousands of miles away in less than a day. Life without well-developed means of transport like buses, airplanes, trains, and cars is unimaginable.

5. A changed healthcare system

There is no doubt that technology is a significant pillar of quality healthcare. Most hospitals have implemented modern tech in surgical rooms and hospitals, video tubeporn xxx which has considerably reduced doctors’ mistakes. Medicine is now easily accessible. You can even access a doctor via call or an app and get a diagnosis. The downside is that people are using internet sources to diagnose illnesses, which is wrong. Anybody can post information online. Therefore, looking up your symptoms and buying medication from the self-diagnosis is not a good idea.

The Relation Between Informatics and Robotics

We are in the middle of the 4thIndustrial Revolution, where we are experiencing the transformation of industries and sectors worldwide through interconnected robotics.  Not only has this boosted customer responsiveness, but it has also increased resource efficiency and boosted productivity. For instance, now, Amazon has a 100,000-robot fleet designed to navigate substantial warehouse spaces and pick items from shelves. The robots constitute a third of the overall workforce.

Definition of Terms

What is informatics?

Health informatics represents a section of ICT and design delivery of health care services. As new technologies arise, a host of data is available to facilitate professionals in providing quality patient care. It’s crucial for health informatics professionals to understand the process of leveraging data and creating efficient information tech systems.

What is robotics?

It is the design, engineering, and utilization of robotic machinery to undertake partially or fully automated physical and cognitive functions. The market revenue from robots in healthcare is projected to grow to $2.8 billion in 2021. Robotics is expected to grow to over 300 billion by 2030.

Robotics in Informatics – An Emerging Trend

There is an upcoming policy in the same line that is transforming the health care system, fueled by the drive to enhance the quality and safety of care while controlling expenditure. The current developments porno francais 2020 have started replacing some aspects of human performance with robotic capabilities, including logistics, mechanical tasks, precision, and intricate cognitive tasks.

The use of robots in healthcare settings is likely to increase because of rising technological capabilities, reduced costs, and the increased need to curb expenses. However, robots have the potential of distracting innovations, which is why you should understand the socio-technical challenges that may come up when robots are deployed to find and mitigate challenges.

How is Robotics Used in Healthcare?

Robots are not only useful but also lifesaving. They have made significant strides in healthcare technology over the past few years, and their medical applications’ potential is limitless. Check out these promising applications.

1.      Informatics

Robots enable the autonomous collection of data, thus offering accurate and continual data for health informatics professionals across several healthcare areas. They include surgery, drug delivery, cognitive and physical rehabilitation. It also helps with patient management.

2.      Mr. Robot, M.D.

Telemedicine, including Skype and other video-chatting software to connect doctors to their patients, has made it possible for everyone to receive expert care. The technology is taking a step further by introducing robots that can now roam the hallways of hospitals. They even complete routine rounds like their human counterparts. They come equipped with a two-way video screen that allows one doctor or the whole multidisciplinary health care team to check on their patients from anywhere.

3.      Wearable Robots

They are devices that professionals can use to correct or enhance a patient’s physical capabilities. For instance, robot prostheses replace a missing limb and function in coordination with a residual limb. Robot exoskeletons offer assistance to people with existing limbs suffering from paralysis, movement disorders, or muscle weakness.

4.      Blood Nanobots

Although it will take some years for the procedure to be fully functional, its potential is astounding. Scientists hope that nanobots will soon imitate the white blood cells, thus fighting bacteria and diseases. Blood nanobots might also eventually deliver chemotherapy, which is thousand times more potent and without the detrimental side effects. YouPorn in Italiano

There is no doubt that robotics is making significant strides in the right direction. So far, its impact on the healthcare system is immeasurable. We are enthusiastic to see what the future holds!

What is Open-source and How to Master It?

The term “open source” comes from the open-source initiative of the 1990s. Open-source software refers to public source codes that users can access or modify for free by making peer-reviewed suggestions or fixes. Open-source software can be re-used in other programs like libraries and frameworks, and most programming languages are open source.

Open sources are the opposites of privatized or closed software, where the source code is owned and operated exclusively by an organization. Authors of propriety software decide whether a program is open-source or not. While free software qualifies as open-source, not all open-source software is free. Some programmers charge money for software or software support.

Examples of Open-source Software Technologies and Licenses

  • Android – It features open access to Google services, making it popular
  • Linux – It gives uses global web searching and access to OS technologies
  • MIT License 2.0 – There are no restrictions to the license, and you can re-use it under other licenses
  • TensorFlow – With end-to-end open-source features, it is now a critical aspect of the machine learning toolkit
  • Apache License 2.0 – You can run, modify and share the software code for free, provided it follows the Apache licensing rules

How Will You Get Started?

1.      Gather Your Ideas and Skills

Figure out the project you wish to work on. Firstly, which programming languages are you well versed with? What are your favorite frameworks? What problems have you stumbled upon while using them?

Once you are all clear with the language you want to work on, narrow it down to a project. For instance, GitHub organizes projects into showcases, where you can search for a topic. Proceed with an analysis of the project’s volume. If you are new, consider refraining from a large software project. Some are lapelled “for first-timers” or “easy.”

2.      Understand how Git and GitHub Works

GitHub is a popular and widely used hosting platform for open-source projects. If you don’t have one, consider creating an account. Go through their guide and familiarize with Git. You will require these basic skills:

  • Cloning a repository
  • Relaying pull requests
  • Revising changes
  • Discussing the adjustments
  • Assigning commits

3.      Join a Suitable Community

Open-source projects are welcoming to incomers. After finding a project you like and learning Git & GitHub’s basics, join a community that you want, and start contributing. The most straightforward way of participating is to subscribe to the mailing list for a project. They are usually listed on GitHub pages. You will be accepted to the team and begin communication with the members.

4.      Mentor Others

After becoming a member for long enough and a seasoned contributor, it’s time to consider giving back to others. The key to open-source is collaboration, so welcoming and helping newcomers is part of your responsibility as a contributor. Replay to queries and guide others through the project by sharing your expertise.

5.      Create your Projects

If you feel that the existing projects don’t offer the solutions you desire, you can create an initial project draft that answers a set of fundamental questions. You can also develop open-source alternatives to the commercialized software.

Whether you are an apprentice programmer or an experienced software engineer, open-source offers an array of opportunities that you should tap into. It will help you to further your personal and career developments. If you don’t know where to start, check out educative courses on GitHub and Git. Porno xnxxn

Microsoft and BMW launch smart Mill initiative

Microsoft Corp. is teaming up with BMW AG within a initiative made To help producers build socalled”smart mills” that leverage”internet of things” and cloud-computing technologies.

The Open Manufacturing Platform is a”open technology frame” Targeted at organizations in the automotive industry and other businesses that may take advantage of connected fabricating systems, the organizations said. The point is to offer a reference structure for smart manufacturers based on opensource components and also an open data model, built under Microsoft Azure’s industrial IoT platform.

“Utilizing industrial usage instances and sample code, neighborhood associates And other partners are going to have the capacity to come up with their own solutions and services while still maintaining control over their data,” Microsoft officials said.

BMW has its own IoT platform according to Azure setup in its own Own factories which joins over 3,000 robots and machines together with autonomous transportation methods. The car maker will provide types of its installation and the way it was executed during its principal manufacturing base in Regensburg, Germany. BMW XXX said its approaches have previously helped it simplify logistics.

The OMP initiative may also provide illustrations of additional use cases, Such as electronic distribution chain control and predictive maintenance of mill machines.

The frame will tackle other obstacles involved with establishing Wise factories too, such as for instance on-premises systems integration and server connectivity. Microsoft also intends to give a robotics benchmark for autonomous transportation methods for logistics and production usage cases.

The primary difficulty that Microsoft and BMW appear to be attempting to tackle is. The possible deficiency of available standards, which can be predominant from the realm of it but less in the manufacturing sector. In regards to fabricating, many businesses have their own proprietary computer systems set up, however those are difficult to alter and new technologies have been embraced at a significantly slower pace.

Together with OMP, that wouldn’t more be the situation. Conveniently for Microsoftit would give the firm room to enlarge in what’s set to grow to be a exceptionally lucrative automotive industry. BMW will profit too, because it’s going to have a huge say in how manufacturing methods start moving ahead.

Analyst Holger Mueller of Constellation Research Inc. porno advised SiliconANGLE which Microsoft is hoping to highlight the perpendicular facets of powerful cloud implementations to be able to drive increased adoption of its own stage.

“Partnerships like BMW and Microsoft really are a known mechanism for Technology sellers to handle such perpendicular factors,” Mueller explained. “BMW gets got the knowhow and new to function as a benchmark, also benefits with gaining more attention from Microsoft and even more, for example as for instance a few royalty credits or payments. However, it stands and drops with BMW going go on Azure first, after which we’ll have whether the combo could convince different manufacturers to embrace their own frameworks and patterns.”

Microsoft Will Probably face competition in the industry out of the own cloud Computing competitions in virtually any instance. Last week, as an Example, Amazon Web Services Inc. announced it has teaming up with Volkswagen Group, the planet’s biggest car maker, to help join and handle its manufacturing operations and distribution chains.

Engineering information

Consists of all the information that is available for a specific artifact, such as specifications, construction and manufacturing plans, sketches, images, manuals and inspection and maintenance plans…

For the life cycle of engineered systems;
Different stages (Construction and Manufacturing, Inspection, Maintenance) of the life cycle of Engineered Systems (buildings, automobiles) need specific engineering information.

Away from the desktop.
Mobile workers need engineering information not only at the office, but especially at the construction site, on the shop floor and at maintenance facilities.

By using mobile and wearable CAE Systems;
To access engineering information away from the desktop, the mobile workforce needs mobile IT support that is natural, easy to use, and truly supportive of the task.

Our mission is to do enabling research on mobile and wearable CAE systems. This research includes the following tasks:

To determine necessary levels of detail of information for given tasks or contexts;
Effective support must offer as much necessary information as possible, with the least information overhead possible.

To develop and assess tools for rapid, knowledge-based development of mobile IT support;
Rapid prototyping enables early field-testing opportunities and thus validation and verification of the envisioned system. Therefore, we see the need for standardized tools and frameworks, which support developer to create system based on experiences made in previous projects.

To identify and caracterize commercially available hardware components for building cost-effective, context-appropriate mobile and wearable CAE systems;
One of our key concepts is to test and incorporate commercially available components and to integrate and enhance them with customized software to usable, effective systems. Part of this effort is to foresee which of these components will become standard products that can be included in long-term IT strategies without quickly becoming obsolete or outdated.

To identify, develop and test appropriate user interfaces and interaction means;
Using mobile and wearable computer systems in an engineering context means to see these systems as “Tools”, rather than toys or high-tech porno gadgets. Only in applying appropriate user interfaces for effective interaction, we can make IT support an essential part of the “Toolbelt”.

To test with real engineering applications and users;
Finally, we are committed to learn from real-world examples and implementations. We can only accomplished this by field-testing at the actual job site and getting feedback from the people who will use the systems in the future.