Tag: SOFTWARE DEVELOPMENT

Since time immemorial, humans have used language and speech as a medium of communication of thoughts. As computers evolved, they had their own programming languages and codes. Software became advanced over time and coupled with hardware advancements, the potential for computer applications became endless.

The next step in this evolution is the case of Natural Language Processing or NLP for short. It is a field of artificial intelligence (AI), whose aim is to help computers understand and interpret human languages. The understanding and interpretation by computers must be in a way that is useful, and it is possible by advanced models, algorithms and other related developments.

The main applications of NLP include areas like

1. Machine-based translation
2. Summarization of information
3. Generation of text and language in a coherent manner based on various data sources. For example, writing about the performance of a company based on a summary of the balance sheet and other related financial data.
4. Chatbots and conversational agents

And many more such applications.

As the best software development company in USA and a leading cyber security company in UK, GRhombus Technologies analyses the recent trends in NLP in the below blog.

1. Ethics

As AI gains traction, one of the key areas to address is how NLP models can be trained to avoid bias and remain ethical. There is also an inherent fear of systems acting recklessly to take decisions. This is especially true in the case of customer-facing applications like chat bots.

2. Privacy concerns

Along with ethics, privacy concerns associated with NLP also need to be addressed. This is still a grey area and there are discussions at multiple levels on how various aspects need to be handled.

3. Quick-learning models

Humans have the inherent ability to learn new things even when the data around the project is limited. The aim is to extend this to NLP with few shot and zero shot learning. This also applies to cases where the data set is limited like in low resource languages.

4. Transparency and accountability

As NLP finds a larger scope of applications, it is important for end users to understand how decisions are made. Insights need to be provided on how the model behaves and what its limitations are.

5. Transfer Learning

There are many cases where learning in one task can be applied to a related task. More research is being undertaken in this area to quicken the evolution of NLP.

6. Multilingual capabilities

Language limitations themselves become a barrier sometimes. For example, a person may understand and speak Chinese, but not Spanish. The context also varies between different languages. So, the aim with multilingual capabilities is to bridge the divide and provide better communication and understanding across different languages.

Overall, the focus is on improving the ethical aspects around NLP as well as expanding the application across different verticals.

About GRhombus Technologies

As a leading software development company in USA and a reputed Salesforce CRM customisation company, we understand the tenets of a business and tailor the solution to a required business need. We are also well-versed in the Force.com development platform and can undertake key customisation and advanced automation functions based on the business needs.

We are also one of the leading custom app development company in UK and we offer a one stop solution for developing Web, Mobile and Cloud based applications with a responsive design that suits specific business needs. Are you interested in engaging with us and growing your business to the next level? Contact us to fly on wings of change.

Today mobile devices have become ubiquitous. So much so that we cannot imagine life without them. Right from controlling our doors and heating to communication, mobile devices have changed the way we view the world. Fundamental to all this is wireless technology.

6G is the latest wireless communication technology which is still in the research and development phase.

Some of the main advantages of 6G or sixth generation wireless technology are:

1. They offer higher speeds and less latency than what is presently available.
2. They can incorporate AI based controls. This will mean highly efficient network selection, data processing, network management and decision making.
3. Connectivity will be seamless and reliable, even in highly crowded environments or even remote areas.
4. Global coverage can be achieved with 3D networking possibilities. Thus, ground, ariel and satellite networks can be used effectively.

An extremely important point that sets 6G apart will be the environmental sustainability and positive environmental impact. The hardware is envisioned to be more energy efficient and will thus consume less power. Similarly, renewable energy sources can be integrated to make base stations self-powered. Power consumption can be adjusted dynamically based on the load and other conditions in real time. Spectral efficiency will be achieved by using tetrahertz frequencies and spectrum can be reused. Increased virtualization will help save on cost of materials and also the setup of physical infrastructure.

While many parts of the world are seeing 5G rollout and implementation, it is interesting to see the advantages that 6G will have over 5G. Though 5G and 6G are both wireless communication technologies, the key differences are as follows. This analysis is based on our experience as the best software development company in UK and a leading software development company in USA.

1. Speed

5G networks offer speeds up to 10 Gbps, while 6G is expected to provide speeds up to 100 Gbps. Thus, there is a direct 10 times faster speed advantage.

2. Capacity

Due to increased speed, more devices can be supported.

3. Latency

5G has a latency of around 1 millisecond, while 6G is expected to have a latency of less than 1 millisecond.

4. Wider application net

Due to low latency, mission critical applications can be easily onboarded in 6G. This includes applications like autonomous driving, holographic communication, highly immersive applications like augmented reality and virtual reality. Connectivity will be applicable across a lot of different systems than is available at present with 5G. This will also help to create personalized experiences.

5. Frequency Bands

5G operates in frequency bands up to 100 GHz. 6G, on the other hand, is expected to operate in the terahertz frequency bands (100 GHz to 10 THz). Thus, there will be greater bandwidth available for use.

Why Grhombustech?

Grhombustech is a leading software testing company in UK and has the best iot testing experts on its rolls. We bring a layered approach to any IoT solution. Our segment-wise approach ensures that we bring 100% coverage to all IoT systems, right from the hardware and network to the data storage, cloud and final application. This comprehensive approach has helped us win the admiration of clients and we have emerged to be a leading software development company in UAE. Apart from IoT, we also have expertise in a range of services and areas including Devops, Salesforce, EdTech and Cyber security.

Software and programming have revolutionised the way we work and have positively impacted human life at every level. Today, there is no field in the world that is immune to the software revolution.

Traditionally, software development proceeded on a monolithic architecture. In such a case, the entire system is developed as a single unified system. The codebase contained all the necessary components, such as the user interface, business logic, and data storage. Thus, all components shared the same memory space, and the entire application was running as a single process. This approach was easy to code and deploy especially for small scale software projects. However, as software projects became more complex and mission critical, such a monolithic approach had its inherent limitations. It was difficult to maintain the software and install patches and upgrades. Further, with increasing IT penetration and expanding user base, scaling up of systems was also a challenge.

Testing was difficult and making changes to one part of a system could have an impact on some other part. It was also difficult to trouble shoot in such cases, with testing also becoming cumbersome.

Considering the above limitations, many organizations moved away from a monolithic architecture to a more user and deployment friendly architecture like microservices or service-oriented architectures.

A microservice architecture is a type of software architecture wherein an application is composed of small, independent, and modular services. Each microservice performs a specific function and communicates with other microservices through well-defined APIs or any other light-weight protocol.

Some of the advantages of microservices are:

1. Robustness and Scalability

Microservices are usually small and self-contained. Hence, they can be scaled up or down as needed. This means that the application can handle varying levels of traffic and workload without impacting performance. Even if one part of the application fails, it does not bring the whole roof down (literally!).

2. Agility in application

Each microservice can be developed, deployed, and maintained independently, which allows for greater agility in the development process. Teams can work on different parts of the application without having to worry about breaking other parts, unlike in a monolithic architecture where all parts are held together as one unit.

3. Diversity in application of technology

Different services can be developed using programming languages, frameworks or technologies, depending on the specific requirements of each service. Thus, the best can be chosen for a specific function and this will deliver amazing results in overall performance.

Some very famous use cases of microservices being actively used are:

1. Amazon

Amazon actively uses microservices for application development and deployment.

2. Netflix

Netflix has over 500 microservices that run and is a great example of smooth performance even in conditions of high load or varying traffic volume.

3. Airbnb

Considering the business case of Airbnb, it is vital that users be notified on different devises and have a seamless experience right from logging in to making a booking. In such cases multiple channels and platforms being used, microservices are the best bet to success.

4. Best Buy

Best Buy was an early pioneer and started migrating to a microservices framework to manage and transform their e-commerce portal.

Overall, microservices offer a more decentralized approach, where each service can be updated and improved without disrupting the entire system. They are cheaper to develop and deploy and considering increasing complexity of software projects, microservices look to be among the safest and best methods forward.

About GRhombus Technologies

GRhombus Technologies is a leading software development company in UK. Apart from software development, we are also among the leading cyber security companies in UAE. GRhombus Technologies has established itself as a pioneer in Data Visualization, Edtech, IoT Testing, Salesforce Development and Cloud Testing. Driven by the guidance of experts with more than 25 years of industry experience, the GRhombus Technologies family now has over 200 employees.

For additional details, please contact us.

Driverless cars (also known as autonomous cars or self-driving cars are the latest innovations in technology. Right from Uber to Google, a lot of companies including automotive companies are investing in this technology to make driving easy. It uses a combination of sensors, cameras, radar, and artificial intelligence (AI) to sense its environment, analyze data, and make decisions about driving actions.

The aim is to completely replicate the actions and decision making of a good driver and also allow for a human override function, which allows a person to take control of the vehicle in certain situations. However, though ambitious, this technology is difficult to master.

Why is Autonomous Driving Difficult to Achieve?

Decision-making complexity

It is well known that even simple actions human actions are difficult to replicate. Autonomous driving involves decision making based on complex data sets with inputs from multiple sources, including real-time sensor data, road maps, weather conditions and traffic patterns.

Timing

While decision making is complex, it should also be done within a short time to ensure safety of passengers, other road users etc. Sometimes, split second decisions may be involved.

Unpredictability

On-road scenarios and conditions can be unpredictable and change rapidly. From a pothole to crossing pedestrians, changing weather, sudden rains etc, the list of unpredictable scenarios that can arise is countless.

Safety Concerns

Passenger safety must never be compromised. Any hazards must be immediately identified, and action taken. This is also the case when the driver may doze off.

What is the role of AI in Autonomous Driving?

AI plays a critical role in autonomous driving. Right from sensing the external environment to data gathering analysis and decision making, everything must happen seamlessly. Self-driving cars rely on a variety of AI technologies, including machine learning, computer vision, and natural language processing, to operate safely and efficiently. They are explained in detail below:

Machine Learning

Machine learning algorithms are used to train self-driving cars to recognize and respond to different objects and situations on the road. An autonomous car must be able to differentiate between pedestrians, animals, objects, other vehicles etc. As self-driving cars collect more data and learn from their experiences, their algorithms become more accurate and effective.

Based on this data that is gathered, decision making must be done. Path planning and determination of the most safe and efficient route is also undertaken by machine learning. Autonomous vehicles require high-precision maps to navigate the roads. Machine learning algorithms can analyze sensor data and create detailed maps of the environment.

Another important parameter is determining the behaviour of the driver, detecting signs of fatigue and distraction and taking appropriate action.  A driver must always be alert and ready to take control of the vehicle if necessary.

Computer Vision

Computer vision allows autonomous vehicles to “see” the world around them using cameras, sensors, and other devices. Computer vision algorithms are used to interpret visual data from these devices and identify objects, people, and other relevant information in the environment.

It is used for detecting objects, lanes, traffic signals, obstacles, pedestrians etc and then decisions are made accordingly.

NLP

Natural language processing (NLP) is used to enable self-driving cars to communicate with passengers and other drivers. NLP algorithms allow self-driving cars to understand spoken or written commands and respond appropriately, for example, by adjusting the temperature or navigation route.

NLP involves speech recognition to understand verbal instructions and commands, understanding the emotions and intent, answering queries, text-to-speech conversion etc. It should also bring high levels of contextual awareness and gradually understand the driver/user’s behaviour to offer a custom solution.

Overall, autonomous driving is a very promising field and it is definite that with more advancements and research, 100% autonomous driving will be achieved in the future.

About GRhombustech

Grhombustech is a leading software development company in UK and has made a mark in various spheres like end-to-end Software Development, DevOps, Manual Testing, Automation Testing, and Security Testing. We are also a recognized leader in the domain of cybersecurity solutions. Grhombustech is dedicated to world-class customer service, innovations and cutting-edge solutions. For more details, contact us.

Mobile phones have now enlarged in function to become an all-encompassing devices that is touching almost every aspect of our everyday life. The primary driver for this progress has been the ability to develop various mobile applications to enhance their value and function. Given their critical function, it is necessary to test mobile applications properly before deployment. GRhombus, a leading software development company in UAE bring to light some trending practices in mobile app automation testing in the below blog. They are:

1) Test automation frameworks such as Appium, Espresso, and XCUITest.

2) Continuous integration and continuous delivery (CI/CD) to automate the build and deployment process.

3) Cloud-based testing platforms, such as Sauce Labs and BrowserStack, to test apps on a wide range of devices and different versions of operating systems.

4) Test automation using artificial intelligence and machine learning.

5) Shift-left testing, which involves starting testing earlier in the development process to find and fix issues sooner.

6) Use of open-source tools like Selenium for mobile web testing and Calabash for mobile native testing.

Test automation frameworks such as Appium, Espresso, and XCUITest are used to automate the testing of mobile and desktop applications. They provide a set of libraries and tools that can be used to write automated test scripts that can be executed against the application under test.

XCUITest is a test automation framework for iOS applications. It provides a simple and easy-to-use API for writing automated test scripts for iOS apps, and it is integrated with Xcode. It also supports other languages like Swift and Objective-C.

Continuous integration (CI) and continuous delivery (CD) are software development practices that involve continuously integrating code changes into a central repository, and then continuously delivering those changes to various environments.

CI/CD is a key practice in modern software development that enables development teams to deliver new features and bug fixes to users faster. It helps reduce any issues in the code base and code can be released to multiple environments simultaneously.

Cloud-based testing platforms, such as Sauce Labs and BrowserStack, provide a way for developers to test their web applications and websites across a wide range of browsers, operating systems, and devices. These platforms allow developers to run automated tests and manual tests in a virtual environment, eliminating the need for a physical lab of devices and browsers. This allows for more efficient and cost-effective testing, as well as the ability to test on a wider range of configurations.

In all the above cases, proper tools and processes must be in place to track and report the test results and bring it under the continual improvement loop. Some of the best test case management tools in our experience as one of the best penetration testing companies in UK are:

• TestRail: A web-based test case management tool that allows users to manage, track, and report on test results.
• Zephyr: A test case management tool that integrates with Jira and allows users to track test cases and their results.
• qTest: A cloud-based test case management tool that allows users to manage, track, and report on test results in real time.
• Test Link: An open-source test case management tool that allows users to manage, track, and report on test results.
• Practi Test: A web-based test case management tool that allows users to manage, track, and report on test results and also has integration with JIRA and other DevOps tools.

About GRhombus

GRhombustech, among the leading software development companies in UK, offers innovative and customizable cyber security and cloud testing solutions for an organization of any scale and size. 

Driven by passion, purpose, experience, and service-mindedness, we offer excellence at any and every touchpoint. Our team of experts serves clients across Europe, UK, USA, Middle East, and achieving client delight at every touchpoint is our mission. 

For more details, contact us.

1) Start with a well-thought-out plan

It’s difficult to develop an application that appeals to your customer base when you don’t have a solid plan in place from start. Users expect intuitive designs from their apps, which means you should create wireframes at least (and use tools like Balsamiq or Axure RP to mock up a prototype). Don’t get too caught up in details, but it pays off to make sure you are thinking about how a user might go about doing something before writing any code or even designing your screens – once users start using your product they may ask for features that are completely different than what you had in mind! Some great places to find inspiration include visual design communities such as Dribbble (make sure they share their source files!) or Behance.

2) Define your ideal customer

With any new project, it’s important to start by identifying who your ideal customer is (and is not). Not only does that help you create an experience that resonates with them but also it helps drive decision-making during development; maybe a client demands a feature that doesn’t fit with your target audience? To define your target audience, be sure to look at demographics like age and gender but don’t forget to also consider psychographics such as values or goals.

3) Keep an eye on product priorities

At any given point in time, each piece of code you write has a purpose or use case that ties into your company’s broader mission. Make sure you keep an eye on those priorities to ensure they stay aligned with your overall goals as a business. The most common pitfall I see is companies getting sidetracked by bugs or short-term projects that don’t tie into their long-term vision; these distractions can have a huge negative impact on productivity over time and make it difficult to achieve company goals effectively.

4) Get plenty of feedback

Launching a new product or service into any market is risky—the greater your risk, the more potential reward you’ll have to play with if things go well (or potentially more to lose if they don’t). Taking time to validate your idea before launch is important; don’t be afraid to crowdsource feedback from potential customers on your products through websites like SurveyMonkey or Kickerstarter. It’s important to remember that validation takes many forms; it isn’t just about surveys and feedback forms. Make sure you actively collect as much information as possible during each stage of development in order to uncover any flaws or problems with design early on in order to adjust accordingly before they snowball out of control.

5) Build quality in

No one wants to be known as that crappy software company. It’s just not a good reputation to have. So when you’re developing your product, think of ways that you can build quality into your product from day one. It won’t happen overnight, but building quality will help mitigate any future problems you may run into later on down the road. Consider these two things: How much time do you want to spend supporting your application? Do users need to be able to use it at all times with limited technical know-how?

Top Software Companies in UAE, UK, and USA | GRhombus Technologies PVT LTD.