SUPERCOMPUTER

Why Countries Are Competing To Build Supercomputers?

Controlling supremacy in the technology world largely involves computers. Countries have realized this fact hence the effort in investing in supercomputers. Supercomputers are defined by speed and efficiency. Companies with a vision to lead different industries are at the forefront to acquire modern equipment and invest in fast processors.

The rapid changes in technology leave no room for delay in investment. While we still want to explore other factors to identify winners in different industries based on business strategies, nothing beats the investment in supercomputers.

The modern supercomputer

The size and performance of a supercomputer are compared to the size of a parking field with a capacity of 50 cars. The computation capability is immense; it takes a day to solve complex calculations that would take thousands of years with an average computer. However, personal computers are also improving in performance in the same way as supercomputers.

There are various terms you have to learn to understand how supercomputers work and how they differ from personal computers. A ‘bit’ is a unit of data measurement, ‘bytes’ is a measure of digital information storage and ‘flop’ is a measure of computation speed. Floating-point otherwise known as flop allows computers to process long numbers and post results within a short time. This is a distinguishing characteristic of supercomputers

Who controls the best supercomputers?

As mentioned, every country is keen to invest as much as they can in the development or acquiring fast processors that distinguish supercomputers from average computers. Of course, there are super economic powers in the globe that you will expect to be on top of this list. The United States, UK, Japan, China, and selected EU states battle for the top position in controlling supercomputers.

It is difficult to point out a specific country based on their investment level; however, we can filter these major players in the tech industry by analyzing the top supercomputers.

Here are the top 10 supercomputers in 2018

1. AI Bridging Cloud | Japan | 130 petaflops
2. Sunway TaihuLight | China | 93 petaflops
3. Tianhe-2 | China | 34 petaflops
4. SuperMUC-NG | Germany | 27 petaflops
5. Piz Daint | Switzerland | 20 petaflops
6. Gyoukou | Japan | 19 petaflops
7. Titan | United States | 18 petaflops
8. Sequoia | United States | 17 petaflops
9. Trinity | United States | 14 petaflops
10. Cori | United States | 14 petaflops

While featuring in the top 10 list of 2018 is big for any country, it does not amount to controlling the industry. The availability of resources and share of developing tools is key. On this basis, China beats all the countries. It enjoys a big share of supercomputers’ resources thus controlling the industry.

Why do countries compete for supremacy?

China hosts 500 supercomputers, which is way ahead of America’s 144 supercomputers. While how a country uses supercomputers matters more than the number, China still enjoys the top position by controlling 35% of supercomputers’ resources in the world. The United States of America follows at 30%.

Why all the statistics? Why are countries competing in developing the best supercomputers?

The answer is in the use of supercomputers. As mentioned, the distinguishing characteristic is the speed of solving long numbers. This is important in analyzing data in weather forecasting, nuclear weapons, biology, and astrophysics. Scientists and engineers of any country will benefit from the fast speeds hence boost innovation and efficiency in various industries.

High computation speeds increase the profitability of the private sector and boost service delivery in public sectors. A country’s economy is guaranteed to rise with supercomputers. Geopolitical standings and military accuracy and efficiency are also dependent on supercomputers. Countries are competing for supremacy in developing supercomputers because it is the future.

Breaking the exaflop barrier

Of course, the United States is not bowing to China, especially after the 2017 statistics. Soon after the 2017 results, President Obama launched the National Strategic Computing Initiative, which is a partnership between the Department of Defense, Department of Justice, and the National Science Foundation.

The initiative comes along with huge funding to developers in the private sector to come up with the best processors in terms of speed and quality. The initiative targets to develop the first exaflop computer, known as Aurora, which is equivalent to 1,000 petaflops.

The computation speed is unimaginable; it is compared to 500 supercomputers and a trillion times faster than a personal computer. The exaflop computer is set to be released in 2021 to help with research and accuracy in the FBI, Homeland Security, and NASA.

The US government-funded channeled $600 million dollars to the development of the following exaflop computers.

  • ORNL System delivered in 2021 and accepted in 2022 (ORNL system)
  • LLNL System delivered in 2022 and accepted in 2023 (LLNL system)
  • ANL Potential System delivered in 2022 and accepted in 2023 (ANL system)
  • Definitely, China is also working on an exaflop computer, probably a more superior one.

 

Benefits of supercomputers

Scientists reap a lot from the continuous enhancement of supercomputers. Accuracy and high computation speeds are everything in research and decision-making in biology, security, agriculture, and other crucial fields in a country. The efficiency of artificial intelligence also depends on supercomputers.

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Augmented Reality in Marketing

At the moment, Augment Reality (AR) is still new and under-explored. This novelty makes it the latest solution for sharing information. It is set to beat the amount print, online, and TV advertisements combined. AR can capture people’s attention for at least 85 seconds, raise interaction by 20%, and raise the click-through rate to buy by a further 33%. Soon it will be the mainstream and competition will rise—as is the case with all other industries.

With time, there will be more companies focusing on AR-inspired experiences. A rise in people incorporating AR into marketing will yield an equal rise in competition. The quality of campaigns will improve in quality as companies seek to impress audiences. Creativity will determine the best performing products. You will, therefore, need to improve your ingenuity and innovativeness to retain relevance.

Here’s Why Apple Acquired a Small Augmented Reality Startup

Apple’s CEO Tim Cook predicts that AR will become part of our daily lives. It is, therefore, of vital importance for marketers to learn how it works. Let us explore companies that already utilize the technology. These leading companies focus on innovativeness and are keen on taking risks on future technology.

Sephora

Purchasing products online is continuously easy and convenient for most people. However, there are certain products such as makeup, which needs trying on first. Women make up the target group for beauty products and face a problem of having to try on desirable products.

 

Sephora’s Virtual Artist App with ModiFace is an AR tool responsible that helps you view makeup on a similar face. Not only does the app reveal how your face will appear when you apply that product but also suggests tools you need. It also shows the appropriate equipment for application and things you would need to accompany the product.

Virtual Artist also reveals the long-term effects of the consistent use of skincare. This is not possible with beauty professionals.

 

Timberland

Many people are not fond of utilizing dressing rooms when shopping. They prefer to try outfits in the comfort of their homes. Most stores allow returning dresses, shoes, hats, and other items if they do not fit. As a result, many shoppers choose to purchase items but retain the right to return them if they are not satisfied. No one likes to carry a pile of clothes into a public dressing room and wait in a line.

Timberland created a virtual fitting room to help people who want to avoid the hassle in stores. It is, therefore, designed for convenience and comfort. Using Kinect motion sensing technology, the AR lets shoppers view their image. You can see a model body with your size in various outfits.

 

Home Depot

Decorating homes is trendy and exciting but very cumbersome and involving. It is not easy to predict the outcome of a color, for example. Working on your house requires a predictive image to confirm if you will like the results. Products may seem impressive online but fail to give you the level of satisfaction you expected. You may end up with a bathroom that is too bright due to the wrong kind of paint.

Furniture can also go wrong. A piece of furniture may fail to impress you. For example, you may purchase a bulky coffee table at a high cost that does not fit in your living room like you wanted. Going through the hassle of acquiring and transporting an item that does not fit is demoralizing.

Project Color App is Home Depot’s AR tool. It uses patent technology to depict the outcome of colors in rooms. The technology is capable of incorporating a variety of conditions. For example, it takes into consideration, the lighting, objects, and shadows in the room of choice. You can see the real version of your room and share with friends to help you assess it.

 

StubHub

For Super Bowl lovers, StubHub provided an AR feature on their mobile app. The app allowed ticket buyers to view a virtual 3D model of the U.S bank stadium. They could visualize their experience at the stadium before purchasing it.

The different views helped them select seats. Hesitant buyers could not resist the offer. Sales increased tremendously.

 

Pepsi

Pepsi is responsible for designing one of the most exciting tools with AR technology. The tool was made in a London bus shelter. One side of the structure appears as though thrilling objects such as flying saucers, and a tiger is headed for the commuters.

This AR technique was used to amuse the public. It reveals the playful personality of the company. It entertains the Londoners with an exceptional experience. A video of the shelter’s exceptional design made 6 million views on YouTube. This became the most viewed advertising campaign ever.

 

AMC Theaters

AMC Theaters sought to enhance delivery of latest movie trailers in time. When movie lovers come across a movie poster in a theater, they can launch the AMC app and scan the poster. They will instantly receive information about it and a trailer too.

Technology accuracy and timing has given mankind a vital piece of technology of the future.

AI

Advancements in Artificial Intelligence and it’s Future.

Advancements in Artificial Intelligence

Technology is the backbone of everything we do or even say in our modern life. This has necessitated the advancement of technology even further. Artificial intelligence is the imitation of human intelligence in machines. It is the equipment of machines with the ability to assess their surroundings and react accordingly.

AI is the study as well as the design of systems that sense and understand their environment and act in ways that highly increase their chance of success.

By the end of 2018, more than 3 million workers globally will be supervised by a “robo-boss.” Robo-bosses will increasingly make decisions that previously could only have been made by human managers…

Investments in Artificial Intelligence

Artificial intelligence borrows from natural intelligence which is what living things have. Machines are made by humans and due to the advancement in technology, human beings are always looking for ways to outdo themselves. Since the majority of brilliant minds are always inventing new ways of making life easier, major steps have been taken towards technological advancement.

Artificial intelligence covers a huge chunk of the technological field. Every day, there are new ways of approaching AI that is created amongst researchers.  

Major approaches of AI

Despite the many ways that are invented from one day to the next in artificial intelligence, they all borrow from the major approaches to AI. They deviate in a few ways but generally almost always achieve the same goal which is machines ‘thinking’ for themselves. The major approaches to artificial intelligence include:

  • Fuzzy logic
  • Neural network
  • Genetic Algorithm
  • PSO – Particle Swarm Optimization

 

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Fuzzy logic

What is Fuzzy Logic?

  • It is a powerful problem-solving methodology.
  • Builds on a set of user-supplied human language of rules.
  • Fuzzy Systems convert these rules to their mathematical equivalents.

This is the creation of intelligence in machines so that they use logical reasoning in executing their tasks. Human beings are known to use logical reasons in making their decisions and when they use fuzzy logic they are trying to design machines that emulate this behavior.

Artificial Intelligence, Deep Learning

Currently, fuzzy logic is in the process of evolving even as human beings continue evolving. Machines are able to rationalize situations and come up with solutions promptly. The major advantage of this approach in machines is that they are not governed by their emotions and as such, they are able to make split-second decisions.

The advancement in this approach as a major approach to AI is that more machines are being manufactured and used instead of human beings to make crucial decisions. The machines are able to use a collection of attributes concerning the situation to get the most suitable solution.

The drawback to this approach is that the world is ever-changing and so are the factors to consider when mitigating a problem.

Fuzzy logic uses pre-existing conditions to give solutions. In the case where an alien factor is introduced at the last minute, the decision arrived at would most probably be a wrong one.

However, In the future fuzzy systems in machines will be able to make split-second decisions no matter when or how new factors are introduced to the system. Better ways of enhancing fuzzy systems are discovered daily and the future where your phone decides for you whether to pick a call or not is almost here.

Neural network

This approach imitates the functioning of the human brain. The artificial neural network is an exact copy of the human brain. It is, however, safe to presume that since it is the human brain that invents such a system, the human brain is still more superior. In the same way that the neural network in living things consists of neurons that analyze and send information, the concept is the same in machines with the only difference being that machines use artificial neurons.

Neural-Network

In the same way that human beings learn through repeated actions from time to time, the machines are taught in the same way. The machines are trained to identify similarities or patterns in all operations and they end up working as though a human was responsible for the thought process of the entire work. In the same way that human beings adapt to their surrounding as well as tolerate much of their surroundings, so do artificial neural networks. They are tolerant of the fault and they adjust accordingly to different situations.

Currently, machines that are reliant on neural networks for their operations are advancing in development. They think better than earlier machines and adapt easier. Machines nowadays stop operation in the case where only one component is not working, or they may choose to isolate the weak link and continue operating but at a lower capacity while sending a signal that one part is down. This emulates the way pain is in the mind. When we are in pain we may not move at all or we may slow down while doing normal activities while looking for ways to heal the broken parts.

In the future, our suitcases would be able to identify when we need to unpack and open them or they may ‘think’ we are on the move and follow us. In fact, such suitcases may already be in production. If this were the case, then in the future they may just go ahead and calculate how long you intend to stay away and recommend what to pack and where to put each item for maximum use of the available space. If this were to happen, human beings would be lazier than they are perceived to be right now.

Genetic Algorithm

Based on the evolution theory that living things evolved from simple organisms into more complex organisms, an idea was formed in the minds of brilliant scientists. Throughout the years, human beings have tried to establish the validity of the theory. Nevertheless, researchers and computer engineers decided to replicate the theory in machines to determine if it would hold.

Genetic Algorithm was developed to illustrate that natural evolution worked and continues to work. It is an algorithm used in machines to create machines that are intelligent from machines that are not.


There are four steps that summarize all Genetic Algorithm (GA) is all about:

  • A pool of solutions is generated to solve a presented problem.
  • The solutions that exist are mated to give new solutions
  • The current solutions are mutated in ways that are a replica of natural genetic variation
  • The weak population (machines that are not adapting well) are eliminated via natural selection.

Genetic Algorithm

This mechanism applies the mantra “survival of the fittest” in the machine world to get better and more sophisticated machines. In the past, if you needed to work on a machine you had to physically see it.

Currently, applications such as team viewer allow a person to remotely access a computer. Machines in the future may not need to have visible microprocessors in them. A wireless link may be developed such that a person may not need to physically see the machine to use it. An alternative would be to teach a machine to learn how to do things on its own based on the genetic algorithm in it.

Particle Swarm Optimization

It is an optimization technique that heavily relies on the behavior of different swarms. The setting is always a multi-dimensional search space. The algorithm uses repetition as well as speed and positions of the members of the swarm or in the case of machines, swarm particles. In machines, PSO is applied in the case where:

  • The machines are randomly placed in a search space.
  • They are then located in the search space
  • The objective task at each machine’s position is evaluated
  • A machine with the highest chance of succeeding at a task is identified and all other machines are adjusted towards performing just as well as the benchmark machine.

gamestat

In the effort of getting the intelligent machines, this technique is used to establish the machine with the highest probability of success and the assumption made is that all the other machines will be able to get the work done just as well as the benchmark machine.

Conclusion

AI in its elemental form is a fun way of using machines. It is very impressive to know that human beings invent better systems every day. However, in spite of the many things AI has and is yet to bring, the human race should remain active because, at this rate, machines may just take over the world.

Artificial-Intelligence-AI-in-Marketing

Can Artificial Intelligence Help Marketing Your Business?

Artificial intelligence or cognitive technology is by far the next big thing. The applications are limitless from retail, banking, finance, marketing, manufacturing among others. But, the adoption of artificial intelligence is being met with fears of job replacement.

For the online business person, Artificial Intelligence will bring a new dimension to how you do business. It will take over the process of marketing, leaving you to focus on providing customer support, and driving your business forward.

Will AI replace humans

How Does It Work?

The technology is powered by big data available on the internet. It searches through, billions, of unprocessed data, to draw insights, which you as a marketer can use. Unlike, existing software tools, limited by the data they can access, Artificial Intelligence will have access to all digital channels, and provide comprehensive insights into your marketing strategy.

What are the Potential Applications of Artificial Intelligence?

Cognitive technology is here to automate tedious task marketers do: These may include:

Selection of the Marketing Channel

Through new algorithms, you can know which marketing channel is most appropriate for the business. It analyzes the website and the products, to determine where to run your marketing campaign.

The new artificial intelligence tools only require your site’s URL to function. By making this process automatic, it can save you costs of using channels that don’t generate traffic.

Image Recognition

Pictures are the first thing the customers see before engaging with the ad, by reading the copy. New algorithms can analyze separate objects in an image. For, instance, the AI can allow customers to search for a dress they have spotted on a model.

AI Shopping

The algorithm will comb through pictures on the web, and provide users with a list of online businesses selling the item. Also, the AI can recognize objects in a video. This feature could change the way users interact with your ads and website.

Content Creation

The AI can allow marketers to generate an advertisement automatically. It can come up with ad banners, select the image, and write the copy. This feature can reduce the time you spend creating the perfect ad, and hasten the implementation of the marketing strategy.

During content creation, the cognitive technology will write content that is not plagiarized, and readable; however, the quality of writing is not that good, but they are available services that generate articles in seconds.

Customer Support and Chat Bots

Part of your marketing strategy must involve creating better engagements with the customers. Once you drive thousands of people to your website, they have many questions which a chatbot can answer.

The chatbots have machine learning capabilities and grow smarter with each user interaction. However, there is the need for human supervision, to provide extensive replies.

Sales Forecasting

Before launching your marketing strategy, you must predict future sales. The AI can use historical data to know your business and potential customers for generating scenarios, analyzing risk and prediction of outcomes of the strategy.

Sales and AI

The cognitive technology is not aiming to replace markers but to automate tedious, time-consuming and complicated tasks. The technology is still at infancy but, in the future, it will be the real deal. For example, Google is perfecting their algorithm to create a personal assistant.

Voice-search-is-changing-the-future-of-SEO

How Voice Search Is Changing the Future of SEO?

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Statistics from think with Google place voice search at 20%. Users are interacting with smartphones more than their computers, and Google is trying to provide quality mobile-friendly websites. Therefore, content marketers need to focus on mobile users more.

What Are the Pros of Using Voice Search?

voice-search-app-ss-1920On a mobile phone, it’s quicker to ask Google a question than to do manual typing. In some demanding scenarios like when driving; you can’t type in the query for directions, but the voice search feature is applicable and safer. Also, you can accurately express what’s on your mind by talking; rather than typing it down.

An Expert’s Take on the Impact of Mobile Search

During the Search Marketing Expo in March 2016, BehshadBehzadi, a Principle Engineer at Google delivered the keynote speech on the prospect of mobile search. According to Behshad, the future of search is the creation of an online virtual assistant. He also demonstrated the strides made by the search recognition technology, which has a high accuracy rate and an advanced capability of comprehending natural speech patterns. For instance, the voice recognition algorithm automatically removes repeated words and stuttering in speech. It’s able to recognize the user’s intent and display relevant content.

Google SearchThe Google search algorithm can understand long questions, and give the user accurate information. An example you may ask Google what the weather condition will be tomorrow and get the weather forecast based on your location. The voice search app talks back to the user; it’s like having a conversation with a real person. You can also set alarms using the action feature; play music, call someone, or book a reservation –providing users with a hands-free experience. Google has also improved the integration of voice search with other apps for increased productivity.

How will the new trend impact SEO?

It will place more demand for unique content that Google can use to answer voice queries. To rank higher; websites should focus on adding more pages that target both short-keyword phrases and long sentences queries. Also, existing content would require rewriting to incorporate longer sub-titles. The use of location-specific keywords would also increase since Google is focused on helping users interact with their immediate surroundings better.

How can Marketers and Content Creators Gain from Increased Mobile Search?

Understanding the difference between voice queries and typed searches is important. When typing on the computer, users will be less descriptive and focus on specific keywords. However, in a voice search, the user is free to add more details to the query creating a longer phrase. Content marketers need to add detailed descriptions to the products focusing on using real-world phrases. It’s also important to incorporate more versions of the keyword phrase in the content.

mobile search

Google wants to focus on providing the right user experience. The process of displaying search results is still the same. First, Google crawls the web and downloads web pages, analyses them, and stores them for retrieval during a search. What’s different is the focus on semantics or linguistic analysis in addition to the mobile-friendliness score. For better SEO webmasters need mobile-friendly sites; they will rank higher on the Google index. It’s also critical to avoid duplication of content and ‘spammy’ behaviors.

The reality of an online virtual assistant to automate daily mundane tasks is no longer a science fiction fantasy. In the future, instead of searching the web, we will be having a conversation with the internet.