How Machine Learning Companies are evolving Dubai

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Dubai has never been a surprise when it comes to showcasing wonders. From towering skyscrapers to 3D printed buildings, Dubai is known for its bizarre sense of sheltering the buzziest things, and still make sense.  At present – one of the early adopters of artificial intelligence services – Dubai is set to become the biggest hub for all forms of technology. Its highly enthusiastic approach towards adopting full-fledged automation can clearly be seen from the self-driving cars to the citizenship it recently awarded to world’s first humanoid robot ‘Sophia’.

And now, the next big thing the city is aiming for is Machine Learning. Although not a new thing anymore, Machine Learning is empowering the biggest industries with the most complex operations. It is either already being used or en route adoption for most of the industries for two reasons: it cuts costs and it is highly efficient. So what exactly does Machine Learning mean and how is it evolving Dubai and the world? Let’s find out.

What is Machine Learning?

Machine Learning is the branch of Artificial Intelligence that allows computer systems to analyse the data generated by machines in order to learn, adapt and improve their functions. This in turn improves productivity, minimizes errors and eliminates the need for someone to monitor the system, giving a boost to the overall efficiency.

In Machine Learning, the science of Deep Learning is used to enable machines to learn from the ever-emerging data. Deep Learning could be termed as a subset of Machine Learning which is power by artificial neural networks at the core.

Although identified as a subset, Deep Learning could be termed as a complementary pair for Machine Learning because it is what powers Machine Learning in doing what it does.

Types of Machine Learning

Based on the method of type of algorithms, Machine Learning is of four types:

Supervised Learning:

In Supervised Learning Algorithms, labelled training data is used which consists of a set of training samples. These samples have defined input object and output, and on the basis of training samples a function can be inferred and affirmed by the machine. During Supervised Learning, the training data obtained from machines can be collected, learned and be used to create more training samples. Supervised Machine Learning is expected, under ideal circumstances, to identify and define functions on its own, using the data derived from previous runs.

Unsupervised Learning

Unsupervised Learning is when unlabelled training data is used in the machine learning procedures. In this class of Machine Learning, the computer system has to infer a function from the unorganized form of data called ‘unlabelled data’. This branch of Machine Learning is used mostly when the data being generated is highly unstructured. Though the accuracy of algorithms is compromised in this type of learning as scalability has always been an issue in such cases.

At present, Unsupervised Learning is being used to solve complex real-world situations, among which some of the most popular ones are R&D, Aerospace exploration, Medicine, Unmanned Aerial Vehicles (UAVs), Big Data Analytics, Neural Networks, Nano-technology and much more.

Reinforcement Learning

Reinforcement Learning Algorithms are quite different when it comes to learning method. This type of Learning is driven by a reward feedback system in order to automate the next course of action in a system to boost the performance significantly. The reward feedback which is also known as reinforcement signal, allows the system to learn and adapt ideally in any given circumstance.

Reinforcement Learning is highly regarded in the world of Machine Learning as in these types of algorithms, systems learn from their surroundings, in order to keep up with the reward feedback.

Applications of Machine Learning  

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Among the many ways Machine Learning is being used in our day-to-day lives, some of the most noticeable ones are right before our eyes. You probably never noticed, but Machine Learning already surrounds us. Here are some of the common applications of Machine Learning:

Medicine

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For good or bad, the co-founder of Sun Microsystems once predicted that we would not need more than 80% of the present number of doctors in the next two decades, following the growth in Machine Learning. Robot-assisted surgery has shown incredibly better results as compared to existing methods in terms of lesser blood loss, smaller incisions, precise techniques, and faster recovery of the subject.

Virtual Assistants in Smartphones

For those who wonder how Google knows about our flight booking, reading interests, shopping choices and pretty much everything we do on the interest; it is Machine Learning. Three of the biggest examples of Machine Learning right before us are Siri, Google Assistant and Cortana. These virtual assistants developed by mobile app development companies that use Deep Learning algorithms, derive permitted data that we share all the time through our phones, desktops, and tablets, and study the patterns in our activities to come up with suggestions based on the output.

The same concept of Machine Learning is used in the Home Automation Technology as well, which extracts data from our interaction with home appliances and other electrical interfaces in our house. Home Automation systems assimilate and use this data to execute functions like automatic triggering of appliances.

Security

The most recent application of Machine Learning in the field of security can be seen in Dubai law enforcement, which has deployed a patrol robot that constantly scans its surrounding for unusual activities or hazards and alerts its human attendants as soon as it sees a deviation from the standard protocol is has been fed to follow. As per the officials, Dubai is planning to replace one-fourth of its cops with robots. The robot takes millions of pictures in a fraction of second and analyses each frame for changes. Another application of Machine Learning in security is to scan the database with hundreds of thousands of pictures and use facial recognition to match visual data coming in from CCTVs and security cameras all around the city.

Self-driving Cars

The much anticipated deal between UAE and Tesla for self-driving cars finally happened in the beginning of 2017 and UAE bought 200 Model S and Model X to fortify their public transportation services all over the city. And just like in law enforcement, Dubai is also planning to replace one-fourth of its taxi fleet by self-driving cars.

But then, Dubai is the not the only place where self-driving cars are being widely adopted. The American tech-giant Google has an exclusive wing that goes by the name ‘Waymo’, which focuses on developing and improving the autonomous car systems. Although founded in 2009, Google road-tested its self-driving car on November 7, 2017, for the first time without a technical supervisor.

Conclusion:

The way Machine Learning has slowly integrated into our lives is unbelievable, but true. From smartphones to medicine, Machine Learning has occupied covered quite much in the technology space. And because it is focused on making our lives convenient with each step it takes forward, mankind has accepted it with open arms. However, there are some who are still pretty sceptical about Machine Learning Automation for, say, partially right reasons, including the loss of employment and over dependence.

Tips to help your Android app stand out

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According to Statista.com, there are more than 2.8 million apps on Google Play Store and 2.2 million on App Store. But then how many of these do we get to hear of? Half a thousand at most.

It hasn’t even been many years since these mobile application stores have existed, and the competition is already fierce enough to compel one to push their limits way off in order to get little recognition in this horizonless digital world. But does this necessarily apply to every mobile application out there? Isn’t there a way we could guarantee our product’s success? There certainly is, and it is simple: equip your mobile app with features that leave a mark since the very beginning, and you will witness tremendous recognition in no time.

Can’t wait to know what features we are talking about? Here are those features, listed in a sequentially sensible manner.

Integrated Development Environment (IDE)

Choosing the right development environment could be one of the long-term core strengths of your mobile app. Mobile app developers usually go for iOS, Android and Windows operating systems. However, recently, Nokia has announced that it has finally come to terms with Google’s Android and would be selling only Android and classic Symbian phones, which may come as late but a wise decision.

That means the game is mostly limited to iOS and Android. Now for these two, you have many low to average options, but the most prominent integrated development environments are: XCODE for iOS and Android Studio for Android. As per its official website, Android Studio is the official IDE for Android that supports C, C++, Java, and recently, Kotlin. The portfolio supported by XCODE majorly includes C, C++, Objective-C, Objective-C++, Java, AppleScript, Python, and Ruby.

Social Media Login:

The very first thing a user sees right after launching the mobile app for first time is the ‘login screen’. Think what could happen if they get entangled in this first step itself. Simply put, irrespective of how well you crafted it, your app is doomed because users gave up in the first step itself.

Be smart and adopt social media login. Social media login is a great way to let users cut to the chase, by allowing them to login with their details stored in social media databases. This way they don’t have to manually input information in the fields; saving them time, effort and most importantly, mood. Here’s a presentation of which platforms are used the most for social logins.

As quite apparent from the chart, Facebook and Google Login are the most popular among all social login options.

Interface & UX Design

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Post login, the first thing user comes across is interface. We are not suggesting that the interface should necessarily be out-of-the-ordinary, but it should at least give a clear idea of the app, shall have ease of operation, and must, in layman tongue, have a direction. On the contrary, it shall not be too ripped at the same time, or it may put the visual communication and user experience out-of-order. The app must have a perceptible process flow with features lined up in an organized order.

For the best user experience design, some of the crucial factors top app developers need to work on are information architecture, user research and problem-solving capability of your app.

Personalization

Although personalization features may not seem important, they are sort of a notion that this app has been built exclusively for them, and the maker does care about the user’s visual preferences. Not much, just in terms of how the app looks, you can allow the user to change skins, font, background colour, notification sounds etc.

When it comes to personalization in terms of user intent, user-based suggestions, suggestions based on past purchase history, the involvement of Artificial Intelligence is indispensable. Most of the applications from sectors like E-commerce, Health & Fitness etc., have instilled advanced Artificial Intelligence in their apps for the same, and have seen insane growth in sales and customer engagement.

Quite logical apparently, a survey by Accenture says 75% consumers prefer buying from businesses that recognize them by name and personal preferences. Another huge stat coming from Gartner, says that businesses with personalization facilities would reap 15% more profit by the end of 2020.

Performance

So, by now, the user is acquainted with your app and has started using it; this is when the performance factor kicks in. According to a general survey, mobile apps that take more than 3 seconds to load have higher abandon rate. Also, those with less than 2 seconds of load time are much preferred, comparatively. Faster load times, smooth transitions, less RAM usage, optimized battery usage and many other contribute to whether your app would rise or fall.

There are also some other intrinsic factors that top app development companies use to determine the performance of your app, such as ListView Scroll, Latest Doze Optimization, Layout Hierarchies and more. To improve the ListView Scrolling, you can create a background thread that keep the main thread free from excess load. The latest android smartphones now come with Doze Mode Optimization, which cuts off network access for most of the apps when screen is off and also restricts their access to CPU-resources to save more battery than ever. Layout Hierarchies can be verified for loopholes with ‘Hierarchy Viewer’, which allows you to find spots where you app is dragging.

Regular Updates

Everyone could use a change every now and then. In fact, they do demand a little tweak here and little there, to feel updates. You could give them the change, or they can change the app, catch the drift? That’s how important updates are when it comes to user engagement. Although updates can’t be accounted as features, with an update you can introduce new features that have been missing or fix the bugs that have been ruining the overall experience.

Search, Sort & Filter

In case your app is of the type that has an inventory of items, you just cannot afford to skip on search, sort and filter. Among hundreds and thousands of products, a customer would be baffled for obvious reasons if they are looking for a specific product on your app, which does not allow sorting and filtering. These are many types filter layouts used by the best mobile app development companies, but the one most common used in e-commerce android mobile apps is Full-screen filter, which has a separate layout for choosing from among a detailed list of filters. There is another that is called ‘Filter Form’ for advanced filtering options, which is used usually not needed by general consumers.

We at FuGenX – one of the leading mobile app development companies – create not just apps for your customers; we build experiences.

So if you are planning to get a mobile app for your business that works like a charm, drop a mail at [email protected] or quickly fill this form to let us know more about you and your vision.

What is 3D PRINTING?

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What if you woke up one day to find a building right by your house that wasn’t there just last night? You probably won’t believe it, except you would if you knew about 3D Printing.

While most people see 3D printing as something too complex, and are not ready to adopt this technology, UAE is already thinking ahead of the curve by using 3D Printing in its full potential. And from what we know about Dubai, building these colossal skyscrapers is like a regular cakewalk for the city. In 2015, while the world was still getting familiar with the term, Dubai unveiled the world’s first 3D-printed office ‘Dubai’s Museum of the Future’. Another big news from Dubai is that the government has launched ‘Dubai 3D Printing Strategy’, which aims to make Dubai ‘World’s 3D Printing Hub in Construction’.

We guess, by now, you are already hooked on to 3D Printing, in case you did not hear much about it. Now let us take a closer look at this technological breakthrough:

Understanding 3D Printing

3D Printing or Additive Manufacturing is a new way of building structures with the help of robotics and construction software like CAD and 3D Imagery. The robot uses construction blueprints to shape up the material as per the design prepared by the software. One of the biggest advantages of 3D Printing is that the printing robots fabricate the building’s components in the place of its origin itself, which reduces labour, time and transportation costs.

Types of 3D Printing Techniques

There are three types of 3D Printers based on their working. We have Extrusion-based 3D Printing in which a semi-liquid material is dispensed through the nozzle. The extruded material settles and hardens with time. Then there is Photo Polymer Printing, which uses a light-sensitive polymer that is used to join the components of the building. In Selective Deposition, layers of different materials are joined to form objects that are highly endurant. And then in Binding, layers of certain objects are created by fusing finely granulated material with the help of adhesive or laser.

Applications of 3D Printing

Not only has 3D Printing been used for shaping superstructures, it has ushered us into a new world of discoveries in manufacturing and construction sectors. With a wide portfolio of applications, 3D Printing empowers:

Research and Development

3D Printing Robots can create structures, materials and almost everything that can be modelled. They eliminate our participation in many complex processes with the help of Artificial Intelligence, thereby allowing us to explore and discover new aspects of science. Currently, scientists have started using 3D Printing to develop complex compounds and execute tasks that would otherwise take more effort and time, and would involve risk factor as well.

Edibles

We could barely believe when we came to know that food can now be printed. In food printing, deposition printing technique is used to squeeze out raw materials, which are then bound together with binding printers.

The latest advancement or say invention in the field of food printing is ‘Foodini’ – a food printer that allows you to print food by yourself. Just select your dinner, seasoning, topping, hit the print button and see the magic happen right before your eyes. The printer uses deposition technique of printing where it uses food ingredients as the extrusion material and creates delicacies just like a hotshot restaurant would.

Medicine

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Some of the most positive uses of 3D Printing can be seen in the field of medicine, where manufacturers can create a desired medicine in no time. As you enter the composition you would like to create, the robot analyses the information fed and creates 100% safe medicines, which can be produced in bulk as well.

Construction

Building something from scratch could be a difficult task for us, but not for a robot. As discussed above, UAE has successfully identified the ability of 3D-Printing Robots to do wonders. Role of Artificial Intelligence in construction is quite significant as it aims to eliminate risks that it came across earlier; meaning that the robot grows every time it creates something new. Since the country exhibited its technological expertise by building world’s first 3D-Printed building, the scope of 3D Printing has not stopped at that. Today, Dubai has most number of buildings and skyscrapers that are a result of this incredible technology.

Conclusion:

The world has just started to adopt 3D Printing technology. However, the potential in it has always been apparent and open to positive modifications. There is a lot that can be achieved with 3D Printing in coming years. But then all the hue and cry about automated printing, snatching jobs away from regular construction workers is also a real situation. ‘Are we going to leave it at that or going to use 3D Printing in the best of everyone’s interest’ is a question we are going to have to deal with in future.

What is IoT and its applications

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What if your refrigerator complained about how its condenser has gone bad, or your TV telling you that it is time you changed remote control batteries? You probably won’t believe it if we told you that. At least not today. In a few years, maybe you will, because the concept of IoT is taking spawning faster than ever.

So when we say IoT, we mean Internet of Things, which is still not quite self-explanatory, despite all the hint in its name. So let us discuss at what exactly Internet of Things is.

“Internet of Things is the Future”

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Internet of Things is a network of physical devices like refrigerators, TV, traffic signals, mobile phones etc., which transmit data over a period of time with the help of sensors, software and electronic chips. The data collected from the IoT devices is then processed and used in purposes that may individually or cumulatively be used to fabricate custom experiences for everyone.

Working of IoT – Explained with an example

Let us say you broke a tray in your refrigerator, which is equipped with IoT sensors and electronic chips. Now your usual reaction would be outright panicky, but then this refrigerator is smarter than you. It will initiate an autonomous sequence, which is the fastest way of resolving the issue here. Let’s take a look at the sample sequence here.

The IoT sensors will sense the broken part, generate the data and send it to data centre where it can be analysed and processed. Now this processed data will be used in two ways: For the consumer and for the manufacturer.

For the consumer, the processed data is going to be used for support purpose. Since the IoT network has been notified about the refrigerator’s condition, the service agencies with IoT integration would also be notified about the same. In response to that, the service agencies would send you service suggestions, price estimate, availability of the part and whatever information would be relevant for you, on your smartphone probably through a mobile app, since it is also integrated with the network. From here, you can choose whatever deal seems the most feasible to you. So, let’s say you went with agency A. Your smartphone will register a request with Agency A and show you payment options for the purchase. Once the transaction completes, your smartphone will receive notifications regarding date of delivery of the part, its price, billing information etc., and in due time, you will receive the part.

For the manufacturer, the processed data has a much bigger function. As the manufacturer’s system would receive information from you and many others like you, it will tally its inventory to check whether the parts are in surplus or not. If not, it will update its inventory. Also, if many complaints are received for the same part, the manufacturer would try to track the origin of the issue, which is probably in the manufacturing process of that particular part. Once the problem is identified, the IoT network will notify the manufacturer to call off all the faulty devices from the market shelves or households, before they cause any trouble. This helps the company render better satisfaction among the customers, maintain inventory surplus and much more. 

Applications of IoT

Applications of IoT are numerous for the simple fact that it is part of the digital spectrum of technologies that we come across every day; however, of a much bigger magnitude. Also because the basic underlying technology in IoT is connectivity, IoT devices can be integrated with almost anything that is electrically powered. Although most of the mobile app developers and innovators are looking for ways for mainstream integration of IoT with smart as well as the existing devices, IoT is already being widely used in some of the major technological areas.

In Medicine and Healthcare, IoT along with Artificial Intelligence, is already being used for maintaining drugs surplus and patient-specific services. According to a survey, more than 65% of enterprises are already using IoT to handle their operations and supply chain management.

In the field of fitness, IoT integration is relatively a new trend, but is being explored in numerous ways such as heartrate-based health suggestions, instant health reports, effective monitoring of patients. According to a survey, IoT in Healthcare is going to grow up to $117 million by 2020.

Other than these, the biggest application of IoT is being predicted to be in service sector. As the service sector relies heavily on data and customer information, IoT is going to automate pesky, time-taking processes like shuffling through the records for a particular piece of information, placing serving requests based on data collected, synchronizing the database within the sector and more. However, AI also plays an important role in the automation of service sector, as a lot of ‘when, how and what’ is involved in the processes.

How is UAE responding to AI

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UAE has always been a frontrunner when it comes to deploying technological innovations for the good of general public and government services. Every time the world comes to know of different new forms of technology, UAE, most of the times, has been the first to show interest.

Now according to some of the reports, UAE is running out of oil. Probably in the wake of this, the Emirati leaders have realized that they need to diversify their monetary sources. And as UAE doesn’t have many options because of its locational and climatic oddities; it is focusing heavily on making Dubai, the biggest hub for technology.

As a matter of fact, the government announced Smart Dubai Initiative in 2014, which apparently is going to have a lot to do with adoption of AI in order to achieve ‘The Smart Vision’. But the best visible beacon of AI growth that UAE government has flashed is the launch of Ministry of Artificial Intelligence headed by Omar Bin Sultan Al Olama, who is clear about the tech-hub’s futuristic goals.

At present, Dubai has already kicked-off the application of AI in different sectors across the city. Let us take a look at how well UAE has responded to the dawn of AI.

Public Transport

Dubai has always been serious about its transportation systems, especially the one for public. This is the reason why the city almost never faces traffic issues. In the pursuit of improving the public transport even more, Dubai is building an even better, sophisticated and organized autonomous traffic system with the help of driverless cars.

In 2017, Dubai signed a deal with founder of Tesla, Elon Musk for 200 AI-powered Tesla S and Tesla X cars to be included in the Dubai Taxi Corporation. The government aims to make at least 25% of car trips in Dubai, driverless. Quickly after the Tesla deal, authorities announced that regulations for AI-powered driverless vehicles will soon be launched.

Public Services

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With the launch of Ministry of AI, one thing is clear – UAE is taking AI integration of the nation, quite seriously. While UAE is planning to leverage AI to attract tech-lovers from around the world, the primary goal of the country is to give its people an even better life standard.

The gulf nation recently showcased its intentions to make the best use of AI for its people by launching a 1-stop centre in Dubai, which offers more than 100 services for general public. This Smart Centre has been powered by one of the biggest AI technologies in the world – Watson by IBM. Apart from that, the AI paradise has robots and a government representative from the ministries of UAE. And from what the sources say, UAE is aiming to transform existing economy to a self-sustained AI economy.

Law Enforcement

For years, we have been fascinated about robots that have minds of their own, real-time logic and accurate decision-making capabilities, but not Dubai. Lately, Dubai launched world’s first robot cop REEM, which keeps an eye out for crimes and anything unusual. The robot has a touch-screen that can be used by anyone to report or enquire about certain crimes. In accordance with UAE’s aim to build an enforcement system backed by AI technology, Dubai is aiming to establish police stations run and governed entirely by Robots.

Education

UAE’s initiative to introduce AI in its education sector as well, has showed the world as in how the nation has managed to secure a rank among the most literate nations. UAE currently has a literacy rate of over 90%, but are they planning to stop? Certainly not!

ATLAB – a technology-based learning solution established in UAE – has joined hands with the government to use ATLAB TeachAssist to provide one-on-one teaching sessions for students.

ATLAB uses Sanbot Cloud-enabled Service to infuse Artificial Intelligence in its robots. The functions of a TeachAssist robot are not limited to teaching only; rather it can be used by students to answer queries, fetch data on a specific subject and analyse student’s progress as well.

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