Top 10 Artificial Intelligence And Machine Learning Trends In 2021

 

While the COVID-19 pandemic affected numerous aspects of how we do business, it didn’t reduce the impact of Artificial Intelligence(AI) on our day to day lives. It is turning out to be obvious that self-teaching algorithms and intelligent machines will play an important role in the ongoing battle against pandemic and others that we face in the near future. It is obvious that AI remains in trend and will change how we live, work and play. Artificial intelligence is a reason behind many technological comforts that are our daily lives, like smart gadgets, netflix recommendations, amazon’s alexa and Google Home. With continuous research, technology has made huge developments in fields like retail, healthcare, automotive, manufacturing and finance. Artificial Intelligence will keep on serving as a central technological innovation in 2021 and in the future. Let u see what we can expect in years to come. 

Top 10 Artificial Intelligence And Machine Learning Trends-

1. Artificial Intelligence And Machine Learning In Hyperautomation-

Hyperautomation is a tech trend popular with other names as “Digital process Automation” and  “Intelligent Process Automation”. It combines the appropriate technologies for automating, simplifying, discovering, designing, measuring, and managing workflows and processing across the organization. COVID-19 pandemic has rapidly increased the adoption of this concept where AI and ML are key components and its significant drivers. It includes some other technologies like robotic automation tools, but successful initiatives can’t depend on static packaged software. It is necessary for automated business processes to adapt changing circumstances and respond proactively to unexpected situations. Here comes the role of AI, ML models and deep learning.  Adopting these algorithms and models with automated system’s data to make enhancements timely and respond to changing process and requirements of the business. 

2. Augmented Analytics Will Transform Business Intelligence – 

Augmented analytics uses ML and AI technologies for data preparation, insight generation, explanation to expand the way of exploration, data analysis in analytics and BI platforms. Artificial intelligence is proving to be a critical enabling technology, and enterprises need an efficient way to scale their AI practices and implement AI in business. Most of the times, organizations face high pressure to optimize their workflows, many companies will approach to BI teams to develop and manage AI/ML models. This empowers a new class of BI-based “AI developers” that will be driven by two factors- 

1. empowering BI teams with AutoML platforms is more sustainable and scalable than hiring dedicated data scientists.

2. Because BI teams are closer to business use-cases than data scientist, the life-cycle from “requirement” to the work model will be accelerated.

Many BI vendors will offer AI capabilities like natural language processing, text analytics, predictive dashboards and so on.

3. Conversational Artificial Intelligence Bots-

The most creative approach to deal with client queries is using Chatbots. Conversational AI bots bring the power of AI through Natural Language Processing (NLP) and Natural Language Understanding (NLU). It allows the functionality of buttons and facilitates customer queries. Conversely, conversational AI Bots provides unlimited scalability with the help of machine learning. Natural language processing  provides human experience to customers. With the help of conversational AI bots, users can file insurance claims, book healthcare appointments, apply for jobs, block their financial cards and so on. This helps businesses to automate their customer support, sales and knowledge support. For instance, companies can help employees not answer repetitive questions from clients or employees by automating the process. Conversational AI bots will manage all incoming queries through Automatic Semantic Understanding.

4. Artificial Intelligence For Cybersecurity Applications-

AI and Machine learning plays an important role in cybersecurity systems for both home security and corporate systems. Cybersecurity developers are continuously putting efforts on updating technologies to deal with new threats, DDS attacks, malware, ransomware and so on. AI and ML can help to identify these threats with earlier variants of threats too. 

AI supported cybersecurity tools can collect data from the organization’s communication networks, transactional systems, digital action, websites, and also external public sources, and use AI algorithms for recognizing patterns and recognizing the threatening activity —, for example, searching suspicious IP addresses and possible data breaches. Today use of AI in home security systems is limited to systems that are integrated with user’s video cameras and alarm systems integrated with voice assistant. A popular research firm IHS believes that the use of AI will increase to develop smart homes in which the system knows habits and choices of occupants by improving its ability to identify intruders.

5. Virtual Gaming-

Today’s AI games don’t have robust environment for users. This is because of the lack of data storage needed to create these environments. The new advancements in AI technology will help in virtual gaming. You can expect the upcoming virtual games to be more realistic and interactive. Through machine learning, games can advance later on depending on character development taken by the user. Game developers are expected to learn new skills in AI to stay aware of the demands of its users, who at this point don’t remain content with the visualization. By incorporating virtual reality and 3D augmentation, they expect to enjoy games close to real life.  

6. Artificial Intelligence In Healthcare-

Big Data has been widely used to recognize COVID patients and critical hot points. AI is helping the healthcare sector with high accuracy. Apart from this, researchers have developed thermal cameras and mobile apps to monitor temperature of the human body and collect data for healthcare organizations. With the use of data analysis and predicting various outcomes, AI can support healthcare facilities in unique ways. AI and ML instruments offer insights into human health and also recommend preventive steps to avoid the spread of diseases. AI solutions helps doctors to track patient’s health remotely by teleconsultation and remote care.

7. Artificial Intelligence And Law-

The legal industry is searching AI trends that are being introduced each year. Machine learning combined with AI and law operates as per similar standards, where the both assess historical examples to infer rules to apply to new circumstances. AI software helps legal professionals by reducing the time required to read compliance and checking on due diligence for all legal protocols. As software controls the menial tasks of reviewing and error checking documentation and other manual processes, it will decrease the load on the legal experts. Lawyers can spend more time on researching cases, creating contracts, counseling clients and court representations. Thus, legal aid will be effectively available to everyone as costs change depending on workload and time on each case. AI software can make efficient contract revision by highlighting standard clauses for different apps and flag missing clauses. In future, AI can control record keeping roles like document management.

8. AI/ML, And IoT Will Enable Smart Manufacturing-

Due to Covid-19, we saw many chains getting disrupted, small and medium businesses crushed, shortage at grocery stores and online store are running out of stock for necessary items. As companies make recovery plans, producers urgently need to be more resilient and transform operations using new technologies. Industry 4.0 initiatives will transition from PoCs to production. Various data will be investigated automatically to discover hidden patterns and reveal insights. Stream processing will empower producers to make intelligent decisions with real-time applications, like, predicting supply chain disruption or preventing unplanned downtime. Sensors and real-time quality monitoring will reduce product recall as the manufacturing world accepts predictive and prescriptive analytics. The convergence of AI/ML, IoT and real-time analytics will make manufacturing efficient, resilient and agile.

Know the reasons to use artificial intelligence in your business at- Why you should use artificial intelligence into your business?

9. Education-

During the pandemic, we all saw online education as a new way of education. Companies are trying to adapt the AI trends to assess the performance of students on their knowledge and customize curriculum and study plans. AI helps educators to provide better curriculum, study plans and teachers can ensure students progress. AI tools can help teachers and students with transcribing lectures. Thus, teachers don’t need to type anything and students with disabilities can continue to learn without any disturbance. AI tools make use of 3D technology to bring textbooks to short demos, this helps students to visualize the subject matter they are studying. It helps for better understanding of concepts. 

10. Edge Computing –

Edge computing provides gadgets with servers and data storage to access their devices and allows them to put data into them. It is also expressed as a data processing real time and is powerful than cloud computing services. Another instance of edge computing carried on nodes. This is a mini-server located in the vicinity of local telecommunications provider. Nodes helps to fill the gap between local service providers and cloud. It provides quick service by saving cost and time.

Wrap Up-

The scope of artificial intelligence and machine learning is beyond our thinking. The above mentioned AI and ML trends are just few of those. It’s role varies according to the business needs. In 2021, these trends will play a major role in transforming our lives.

Top 10 IoT Operating Systems For IoT Devices In 2021

 

Many constraints comes to the focus when someone wants to operate IoT devices. IoT OS can provide fixed solutions to those constraints. Hardware and software cannot function properly without an OS. Computer without an OS is just like a car without an engine- in simple words, it will not run. This is true for IoT devices and apps; IoT OS is necessary for them to work as needed. IoT OS allows devices and apps to connect with each other and other systems like cloud platforms and services. IoT OS also manages the processing power and other resources needed to collect, transmit and store data. There are some operating systems that you can use for IoT but they wouldn’t allow you to get the best setup and so IoT focused distros exist. Let us see the list of best operating systems that you can use for your IoT projects.

You can also know how to develop internet of things apps at- How to Develop Internet of Things Applications?

Top 10 IoT Operating System For IoT Devices In 2021-

1. Ubuntu Core-

It is a robust version of Linux’s popular distro, Ubuntu, and made specifically for large container deployments and IoT devices. Ubuntu core is built by Canonical to use similar kernel, system software and libraries as ubuntu  however on a smaller scale and it is used to power robots, gateways, digital signs etc. Ubuntu core provides users a secure embedded Linux for IoT devices. All of its aspects are verified so as to maintain immutable packages and persistent digital signatures. This is minimal and enterprise-ready.

2. Riot-

It is a free open source IoT operating systems build for IoT devices. Riot was released under an unclonable GNU Lesser General Public License and has a huge development community. By using low power capacity Riot is built upon microkernel architecture with C, C++ language. It supports full multithreading and SSL/TSL libraries.  A port of Riot makes it possible to run as Linux or macOS process. It provides content-centric networking and network protocols like TCP, UDP and CoAP. The processor of Riot is 8bit, 16 bit and 32 bit.

3. Contiki-

It is an open source operating system designed for connecting tiny low-power, low-cost micro-controllers to the internet and doubles as a toolbox to create complex wireless systems. This OS is developed to follow the best Internet standard for instance, it has complete support for IPv4 and IPv5. Contiki is written in C to provide rapid environment for development in a single download and has an active community that will make user feel at home. To run this operating system, it just need 10kb of RAM and 30 kb of ROM. It’s programming model uses Protothread memory-efficient programming. It is manageable by hardware platform, for instance, TI MSP430x, Atmel AVR, Atmel Atmega128rfa 1. 

4. Android Things-

Android Things is an IoT Operating Systems invented by Google. Previously it was named as Brillo. It has an ability to run on low power and also supports bluetooth and WiFi technology. This OS aims to remove all hurdles and simplify IoT development. It uses just 32-64 Kb of RAM because it is a lightweight operating system. Google announces a provision of communication network protocol called weave. Android Things and Weave is connected so detecting each IoT device by android smartphone is possible.  Developer kit helps to test, build and debug each IoT solution. 

5. Windows IoT-

Windows 10 IoT is a family of Windows 10 operating systems for IoT sector. Apart from this, Windows IoT divided into two-part. First is- Windows 10 IoT core to support small embedded devices and the second one is Windows 10 IoT enterprise for industrial perspective. IoT enterprise OS runs on ARM processor. It makes use of IoT connectivity, cloud experience and IoT devices. Windows IoT core provides manageability like Windows 10 OS, though it acts like app. It does not support Cortana and FileOpenPicker that is available in Windows 10. 

6. Zephyr-

It is a real-time operating system built for IoT applications supported by Linux foundation. It is popular among IoT experts due to its easy integration of various IoT architecture. One of the most important characteristic of Zephyr is interconnectivity technology. It is a library based operating system with reliable memory protection, highly configurable, modular open-source IoT OS that use device tree support. To operate this OS, 8kb of Ram and 512 kb of ROM is necessary. It has a system development kit with appropriate documentation, offers extensive suite of kernel services, non-volatile storage, virtual file support etc. 

7. Fuchsia OS-

It is an open-source capability, real time operating system developed for Internet of Things devices by Google. Fuchsia is based on the kernel Zircon.  It is a microkernel-based operating system sum up with effective connectivity solutions and has an ability to run on low powered devices. Using Node.js on operating system ensures application to run on phone, tablets and IoT devices also. It makes use of card-based design on user interfaces for multiple app management and software development kit Flutter for user interface and apps.

8. TinyOS-

It is a component-based open-source operating system whose core language is nesC which is a language of C language. TinyOS is popular due to its memory optimization characteristics. It’s component neutralizes some abstractions of IoT systems, for instance, sensing, packet communication, routing and so on. ESTCube-1 is a space program make suse of TinyOS. Sensor drivers, data acquisition tools and network protocols are part of component libraries. In most of the cases it makes use of wireless sensor networks as its architecture designed. 

9. TizenRT-

It was invented in 2011 for both mobile applications and small embedded systems. Latest version of Tizen can support smart TV, vehicles, home appliances and so on. A popular brand Samsung electronics use TizenRT for their IoT development. This OS uses a shared infrastructure called “Tizen Common” to sustain the primary purpose of IoT development. With TizenRT mobile developers can customize their products as per the demographic needs of an area. Kernel type of Tizen is monolithic and is lightweight as compared to AndroidOS.

10. Raspbian-

You might know the Raspberry Pi – most used devices for IoT development. Raspbian is its own operating system and is highly flexible for Raspberry Pi lines CPUs. It provides various pre-installed IoT software for general use, experimental, educational purposes and so on. It’s two versions are- Raspbian Buster and Raspbian Stretch. Raspbian uses a computer algebra program “Mathematica” and a version of “Minecraft”

Final Words-

Open source IoT operating system provides a platform to easily check functionality of IoT products. The above list of IoT operating system will help you to choose the best one for your IoT devices. If you are thinking about iot development, consult with Solace experts. We are here to help you through consultation and IoT development. You can hire solace developers team for secured and effective IoT development. Connect with Solace and get a free quote for an IoT development. We will be happy to help you.

10 Hot Web Design Trends To Follow In 2021

 

Technology changes very rapidly and the website design trends are no exception for this. Website features and design elements that were once innovative and modern may have become tired, overdone and outdated in recent years. There is a high chance of losing conversion if your website looks outdated or ignores web standards. There are nearly 1.75 billion websites on the internet. But only 400 million of them are active. These sites belong to businesses, individuals, organizations and so on. The success of a website depends on several factors like- design, user interface, technical performance, security, technologies, search engine optimization, content etc. These factors belong to the two categories- web development design, user interface and user experience design. What impacts a site’s success in 2021?

Here we’ll see some hot web design trends that will skyrocket in 2021. We hope this list makes you approach the web in a more inclusive and accessible way.

10 Hot Web Design Trends For 2021-

A strong and attractive web design is important for a successful business. The vast majority will forsake your site if it has a poor UI and user experience. A website’s design influences trust in a business and users desire to interact with it. Let’s see web design trends that will skyrocket in 2021.

1. Bold Typography-

Use of bold fonts on websites is a trend that will stay in 2021 too. Simple fonts are easy to read, clear and visually appealing. Heavy fonts allow businesses to quickly show information. You can combine simple fonts with a simple background and you’ll get a perfect and minimalist great image for your website. 

2. Horizontal Scrolling-

Many websites dabble with various scrolling techniques for a unique user experience.  Vertical scrolling is a typical scrolling experience. Horizontal scrolling is a UX design trend that catches users’ attention while remaining simple and functional. Designers employing horizontal scroll should consider the following points-

• Use clear visual cues to indicate where content uses horizontal scroll and don’t hide these cues behind hovers
• Do not force users to navigate through horizontal content- allow alternate way to navigate, like arrow buttons with clear labels.
• Be insightful about what content would benefit by being shown in a  horizontal scroll — a photo gallery is a good competitor as horizontal scroll would show users a small preview, and allow them the alternative to see more or keep moving down the page
• Avoid the need of horizontal scroll for text that needs to be read

3. 3D In Motion-

Large and hyper-realistic 3D object that move subtly on website is a big trend in web design. It is good for selling physical products because you can show them in detail and make them real to look. Motion design is a latest technology used in web designing as businesses try to grab attention with videos. In 2021, motion design will appear more on websites themselves.

4. Frosted Glass Effects-

Latest advances in web technology have allowed the simple implementation of frosted glass effects on websites. Blurr view of elements behind the frosted glass overlay helps to add color to an area and also allows text or objects to appear over the image and remain readable. The impact has become a well known option in a designer’s tool belt and progressively been used as a background instead of gradients.

5. Voice Activated Interface-

Way of accessing information is changing- rather than typing into Google, we now ask a question or make a demand. This implies web design is adjusting to keep up with the prevalence of voice chatbots and virtual assistants. A voice activated interface is not commonplace for most websites, this trend will skyrocket in the foreseeable future. 

6. Scrollytelling-

We’ve seen a growing trend in designers telling stories through web experiences. Here comes scrollytelling- visual storytelling that heightens story and hooks you into its narrative. 

The best applications of scrollytelling practice restrain:

• Keep motion within small area
• Provide interactions on user’s terms: provide obvious playback controls to play/ pause/ stop interactions and motions
• Ensure that any scrollytelling elements help to emphasize the story, instead of distracting from important text.

7. White Space-

White space is the term for spacing that we give between elements. It does not have to be white, as long as the area is empty. So it is also known as “negative space”.  The use of white space is about giving content space to move around, making an effort not to pack the most data conceivable on the screen. The is more unwinding experience for your website visitors, the content stands out better, and readability is improved. This minimalist approach was first introduced by Apple, that uses lots of white space in their designs. In 2021, using white space will remain trendy. 

8. Gradients-

Gradients have now become more popular among creatives when searching for new website design inspiration. It is a long time trend that has evolved from subtle color overlays to eye-catching backgrounds. Gradients can be used to add depth, serve as a striking background, or subtly to add texture to an illustration. We progressively see it utilized in bigger and bolder typography.

9. Video Header-

Videos are the engaging type of media on the web. Social media uses video to keep users scrolling, and you can do the same. Many websites have started the use of video as their header background. This header video should have meaning and impact your visitors with the right mood. Ensure to show your product or service as well as to evoke emotion. For this, you’ll need a high quality video that looks great on various resolutions and will not slow down your website.

10. Full-Screen Homepage Header Image-

Hero image is the first thing your visitors will see when entering your website, and they determine whether a user will scroll through or leave the site. Full screen homepage hero images take up the full screen and make your design bold and spacious. Also remember that most of the users will not scroll down if you don’t help them, so it will be a good idea to give users a hint at the bottom of large hero image which will encourage them to scroll down.

Wrap Up-

To make your website appealing to customers and search engines, keep an eye on its loading time, performance and visual design. You can increase conversion by adding micro interactions, chatbots and progressive lead forms. It is important to rank high in search, and so you should make your website mobile friendly and fast. Always remember that mobile layout is a must in modern technology website design. The above mentioned web design trends will surely help you to design a modern website. 

Golang Vs Python For AI Development

 

These days, AI programming has gone far beyond pure software or hardware development firms. Ecommerce companies, real estate, healthcare and so on are already started adopting AI. AI applications help to improve user experience, customer interaction, healthcare accessibility, Financial planning, purchase experience and so on. With the use of machine learning, logical reasoning and self correction, it is possible to mimic human intelligence and human knowledge. Neural networks create high-level abstractions for many industries and disciplines. Ai 

Python and Golang are the most popular programming languages for AI. Choosing the best one between two is a critical task so here we came with a detailed guide- golang vs python for AI development. Before digging to the comparison, let us see overview of each language.

What Is Golang?

Go is an open-source programming language developed by Google. It is a statically typed compiled language that supports concurrent programming and allows running multiple processes simultaneously. Go has garbage collection that itself does the memory management and allows the deferred execution of functions.

Also it delivers great performance with lightning speed and Go Web Framework is one of its kind. It has built lots of robust web apps and mobile apps.

Features Of Golang-

• Golang is an open source language created at Google 
• It is a compiled language including great libraries, concurrency support.
• Also it includes garbage collection called goLand
• Code is Golang is easy and readable
• Easy concurrency support via goroutines
• Package management
• Static typing
• Features powerful standard library

What Is Python?

Python is a popular and potential programming language that is used by developers to build robust server-side development. It has built-in data structures, combined with dynamic binding and typing, which makes it an ideal choice for rapid application development. It can be used for cognitive technologies like machine learning, artificial intelligence and so on. Because of the versatility and easy learning, Python has retained its first position in IEEE spectrum. It includes various libraries that supports a particular niche like mobile apps, desktop apps, cognitive technologies etc.

Features Of Python-

• Python language is easy to learn, and read
• It has an ability to run various hardware platforms and using same interface.
• This language offers an ideal structure and support for large programs, and automatic garbage collection.
• It supports interactive mode of testing and debugging, and also offers a high level dynamic data types and dynamic type checking
• Python language can be integrated with Java, C and C++ programming code
• It has a simple and minimal syntax, offers high performance and fast compilation times
• You can include low-level modules to the Python interpreter.

Golang Vs Python For AI Development-

Advantages Of Golang For AI Programming-

1. Superior Error Handling And Easier Debugging-

As the name suggests AI must mimic human intelligence. In its result, input and output must be simultaneous because of which error handling must be quick. Downtime due to debugging cannot take long. Golang has a variety of good machine learning, reinforcement learning and deep learning libraries focussed on all parts of pipeline. Some of them are for natural language processing, tensor operations and even a GPU accelerated deep learning stack. The resultant app are refined and functionality rich.

2. Speed And Accuracy-

Concurrency model and simple syntax helped to improve the speed of language. It allows to manage number of concurrent requests simultaneously. With accuracy that tops the list Golang source code is also fast, thread ready, easy, clean, compiled and simple. Also, it has a huge number of support of libraries for Natural language processing, machine learning, data analysis, extraction, processing and visualization. This makes it appropriate to develop comprehensive real world AI applications.

3. Good At Scale And Computations-

Golang scales and performs well within large-scale projects. Speed is one more reason to use Golang for AI programming, particularly for math computations. Golang is 20 to 50 times faster than Python in case of complex math problems.

Know the best practices for golang at- Top 11 Golang Best Practices For 2020.

4. Minimalism And Good Code Readability-

Most of the algorithms stick to a minimalist approach, this enables developers to write a readable code after algorithm implementation. But minimalistic approach can be a weak point too, in case of where there’s a need for recursive algorithms, that can run slower because of the absence of tail-call optimization.

Golang’s Downsides For AI Programming-

1. Need For Deep AI Expertise-

Some of the Golang advantages for web development can play against it about AI programming. For example, default multithreading works good for Golang web development. But using multithreading for AI purpose needs skilled Go developers with deep expertise in data science.

2. Golang Toolkit Extension In Progress-

Go has its libraries for AI and it can cover the most necessary purposes, but the toolkit is not that much extensive. Inshort, it’s in the process of extension with Golang community itself. So far, Golang developers have performed about 285K pull requests globally. 

Advantages Of Python For AI Programming-

1. Extensive Set Of Libraries-

Libraries of Python helps developers to build new algorithms, do model prediction, and datasets processing, work with complex data and so on. Tensorflow is a popular open source library used for many Google’s machine learning applications. 

2. Strong Community-

Community and ecosystem around Python are vibrant and active. According to GitHub’s annual statistics, Global community send more than 1 million of pull requests. There is a huge community support for creating new libraries, updating documentation and extending toolset.

3. Python As A Language Is Accessible-

Python is an accessible programming language. For businesses, accessibility means vast market of Python experts. Apart from all this, Python is widespread. It’s been ranked by IEEE as a top programming language.

Also know the details of use of Python in finance, analytics and artificial intelligence at- Using Python in Finance, Analytics and Artificial Intelligence.

Know the amazing new features of Python 3.10 at- Must Know Features Of Python 3.10.

Python’s Downsides For AI Programming-

1. Not Good For Large Scale Engineering-

Python is losing to scalability for projects that involve a few hundred programmers.  If you need a very ordered and disciplined way to do programming, then it will be challenging with Python. It is also challenging while deploying AI systems.

2. Lack Of Performance And Multicore Processing-

Performance is also a challenge, specially CPU nad GPU processing. Something that works for specific use cases often can not be applied for most common uses

3. Codebase May Be Difficult To Maintain-

From developers point of view, Python is not easy to maintain. Python lacks several language features like static type system.  It’s syntax goes against assumptions that other languages make. Also libraries of different versions often conflict with each other. And it can cause problems with cluster configuring or leads to general stop of working code.

Which One To Choose?

As mentioned above, python is readable and offers you various ways to say the same thing again and again that often leads to creating confusion. Whereas, Go follows strict rules in terms of programming. It does not allow unwanted libraries to simply get imported neither allows the creation of unnecessary variables.

Top 11 Mobile App UI/UX Design Trends For 2021

 

Design is the top driver of web and mobile users’ positive first impressions. As the technology grows, the competition for user attention also increases. Each single pixel matters and milliseconds decide whether you grab the web and mobile visitors in or put them off. Visual appearance and ease of use have the most significant bearing on visitor engagement with digital products. Knowing this, Web designers’ work is essential for successful online presence because it helps users to fulfill their goals. Here we have curated emerging trends in UI and UX designers to stay updated designers. Before digging to UI/UX trends, let us clear each term in detail.

What Is UI Design?

UI, or user interface, lies at the intersection of the human and computer intersection and communication, managing how all screen and touchscreen elements and layouts look. UI applies specifically to the visual side of user interactions with digital systems and is concerned with design of UI elements like buttons, menus, forms, checkboxes, images, and CTAs, and the use of color schemes, hues, typography, lines and shadows. UI look is not completely based on UI designer’s judgement, it should also be in line with UX designers’ recommendations for a user-friendly, consistent and appealing product.

What Is UX (User Experience) Design?

UX stands for user experience. And it, encompasses all aspects of end-users’ interaction with website, app or software. Good UI solves end-users’ problems in the most efficient and seamless way. UX designers are dedicated for delivering valuable, attractive experiences to end-users and guiding them to fulfill their goals. 

UX and UI Trends For 2021-

1. Custom 3D/Realistic Graphics and Animations-

The integration of three-dimensional designs into web and mobile  interfaces has seen explosive growth in these months, and understandably so. 3D graphics and animations bring to life central objects on your website and apps, which makes it possible for users to understand the core concepts quickly. UX and UI experts embed custom 3D components in UI designs to catch users’ interest and infuse brand personality. Complicated animations evoke user interaction with dynamic, memorable interactions, making webpages and app screens much more compelling.

2. Augmented Reality-

Augmented reality trend has been enhanced by Google’s ARCore and Apple’s ARKit that empower UI designers to take a mixed reality strategy and make their layouts more functional. For instance, app that shows navigation graphics on phone’s live camera view. In 2021, augmented reality features on mobile devices will become part of everyday reality. Ehealth, ecommerce and offline shopping, online banking and construction and engineering domains are equipped with augmented reality tools. At UI level, AR can simplify tasks and save time for ordinary users. Augmented reality apps where AR functionality is activated using 2D graphics tags on surfaces and AR apps for the face will be in huge demand.

3. Neomorphism-

This design trend inoves element creation in a realistic style. The rise of AR and VR technologies and the latest design trends are seen on most popular design platforms like Behance, dribble etc. could bring skeuomorphism back to design in 2021 with new name neomorphism. It is considered as a modern version of skeuomorphism. With proper use of shadows and highlights, neomorphism makes certain elements stand out. It is making its way around the design community and is expected to become a huge design trend in 2021.

4. Advanced Animation-

Operative animation is important part of user experience. Animated moves and motions delivers data- they explain state changes, confirms actions and add rhythm to interactions. As mobile devices are turning out to be more strong and quick, mobile application designers can produce more advanced animation. Animation is not just a filling gaps between different conditions, it’s also a part of branding. Motions refers an exclusive story about your brand and product whereas animation shows things for users by developing film-like scenes where data changes from frame to frame.

5. 3D And Faux-3D Design-

In spite of the fact that using 3D elements in mobile applications is certainly not a new trend as such, it was for quite a while used just in entertainment and games. With the development of device processing strength, 3D elements develop in ordinary functional applications. Launching 3D elements and Faux-3D elements in mobile experience, one can add realism to mobile interactions.

6. Minimalist Full-screen Backgrounds-

This is another design trend that will rise this year. It forsakes the traditional UI format that puts all significant content in the middle of the page and replaces it with a mind-boggling full-screen experience. The approach makes most of the screen space to create visual and emotional appeal, clearly expresses the goal of webpage and encourage further exploration. By austerity, full-screen backgrounds tap on elegance and integrity in design, especially preferred by premium and luxury brands. But, don’t be misled by the minimalistic look; designing an alluring, high-converting full-screen interface that uses captivating visuals is more difficult than one might expect, and requires top-end UI and UX design skills.

7. Typography-

Web and mobile designers have long recognized the significance of typography, and every year brings new patterns concerning font style and size, their prominence, and position on a website. In 2021, typography comes with dynamite enormous font styles that cover the images (or replace them altogether), take center stage, or spill outside the screen. Latest design trends prioritize size and quality over quantity, demonstrating more acre about the meaning of words, instead of their number. In 2021, we can see UX and UI designers using various font types, contrasting colors and scattered text. All these, aims to build strong visual hierarchy and create an appeal that prompts visitors to move forward.

8. Better Illustrations-

Design is getting more emotional, so product designers are becoming neutral. In 2021, you will see more design experiments targeted to produce an emotional effect. Designers wish to try different illustration styles. Their main goal is to deliver products that users can connect with an emotional level.

9. Microanimations-

In most of the applications and on websites micro animations exist. One can see them every time you open your favorite app. For instance, Facebook has many micro animations similar to the “Like” feature. Micro animations are so obvious, natural and combined with the user interface so we’re not even aware of these. But if you remove micro animations from your product, it will be noticeable that something important is missing. Small animations like changing button color after the user hovers over it or changing blog titles while scrolling, can help to attract users and improve digital experience.

Micro animations are more important where you want to keep the user’s attention while the app or website performs some action. But, more interactive elements distract the user. So, before adapting it, it is necessary to design stage to understand whether your interactive elements will help the user or distract them from the goal. So, think about users, know what they’re looking for in your mobile app and help them to chive goals with animations.

10. Rounded Corners-

This trend has evolved from modern smartphones. The Android and ios flagships all have rounded corners. Curved corners are reflected in the user interface designs so, all apps and mobile sites have the same rounded look and feel. This has a positive impact on UX, as rounded corners look smoother.

11. Convenient Voice Interaction-

Voice powered apps are rapidly accommodating our lives as they deliver precise and fast query results, more feasible and great user experience. Siri, voice-controlled personal assistance of Apple, Alexa, the virtual assistant of Amazon etc. are some of its examples. In 2021, there can be many more upgradations too.

Conclusion-

Building a user-friendly and truly useful app could be a competitive advantage in 2021. Web trends are changing faster than they can be implemented. User demands about convenience has reached a new high so designers need to learn and work with non-verbal and non-visual interfaces and focus on people with accessibility needs. 

The above UI/UX design trends will skyrocket in 2021. If you are thinking of building a mobile app, you must know these new trends. You can also consult with Solace experts. We have a dedicated team of experts skilled in new trends to help you through design and development. Connect with Solace and get a free quote for modern app development. You can also hire android developers, ios developers and flutter developers to build a mobile app with new design trends. We will be happy to help you.

React Vs Vue: Which One To Choose In 2021?

 

These days web applications are ruling the development landscape and will continue in the future too. When it comes to choosing Javascript frameworks and libraries, developers came up with many options including React and Vue. The challenging part is deciding to use Vue or react for use  in your tech stack. Both use a Virtual DOM and possess a reactive and component-based structure. Here we will compare two very popular web app frameworks React and Vue on the basis of various parameters such as, user-experience, performance, testability, security, developer availability and so on. Before digging to the comparison, let us see each one in detail.

React-

React.js is an open-source javascript library used to build web apps with rich user interfaces. It offers flexibility to create reusable custom components that encourage rapid development processes. Also, it is user friendly due to its ability to allow quick rendering of a web page. This library promotes the development of light-weight and complex business applications.

One can create not only web apps with React.js, but also media sites, video streaming platforms, software as a service tools, mobile apps, desktop apps, progressive web apps, JAMstack sites etc. Paypal, BBC, Facebook, Netflix, Twitter are some of the examples of popular apps created with React.

Vue-

It is a lightweight and flexible JavaScript-based framework that provides advanced web tools to develop modernistic SPAs and front-end web apps. Vue is also considered a versatile and progressive JavaScript framework because it allows change creation in an application code without influencing any core feature built and this provides an opportunity to create progressive UI. With decoupling, Vue also offers opportunities to extend functionalities of web app with customized modules and visual components.

Know the advantages of reactjs for building interactive user interfaces at- 7 Advantages of ReactJS for Building Interactive User Interfaces.

One can create single-page apps, progressive web apps, small project apps, large scale enterprise apps, existing app design extension, existing app functionality extension with Vue. Behance, Gitlab, adobe portfolio, laravel spark, grammarly are some of the apps created with Vue.

React Vs Vue- A Comparison

1. Learning Curve-

React-

React adopts the JSX format, where HTML is written in JavaScript. Though JSX is inline with functional programming, developers are saddled with the responsibility of figuring out this new approach. React heavily depends on other third party components for effective use. This can be an issue for developers since they news to grasp a lot of information just to get things done. React has a good documentation.

Vue-

Vue is easy to learn as compared to React. It separates concerns so that web developers are already used to, decoupling HTML, CSS and JavaScript. Vue allows the use of JSX for those who want to adopt that style. It is easy to get accustomed with Vue because it picked out the good parts of React and Angular. So it is easy for developers from either of the two backgrounds to fit in perfectly. Vue has a well detailed documentation.

2. Performance-

React-

React app’s performance is faster, a lightweight performance in user experience with individual components working in a fine functional way. It’s component based architecture helps to build more robust single page apps, reusability removes code clutter and reduced DOM manipulation speeds up the page loading. This reflects seamless app performance and pleasing user experience. Library works on updating the necessary changes to the webpage without reloading the entire page. Hence it eliminates the unnecessary loading of page and rather refreshes the data. To build react apps by setting some programming practice, you can use minimal approach.

Vue-

When each new feature added or extension of a component, Vue app becomes more uncertain that makes it hard for the app to load faster. Whereas, this framework has a virtual DOM, that serves as the default tool which helps in app’s performance optimization. Lazy loading feature of Vue helps to improve load time. Vue deals with third-party library in an asynchronous way by automatically handling the critical dependencies by isolating the libraries into the ones that need to be included in the main application bundle and the ones that can be left in routes away from the core bundle. 

3. Architecture-

React-

It doesn’t have a built-in architecture pattern. React caters to the view layer of app which is made with components. React components work as functions that render the underlying user interface as data changes. Continuous interaction between the users’ actions and state of app components makes internal architecture of Recat.js. The state of the React component is excellent when you need to build applications with limited functionality and scope. React is dependent on external libraries such as Flux, MobX, Reflux, Redux for building real-world applications.

Vue-

It follows the ViewModel approach and supports the pattern on MVVM in case of developing large-scale apps. View part and Model part are connected in two-way binding.

Model- Functions like Model object of JavaScript. When the data object enters the Model part, the data instance is transformed into reactive elements to create appropriate storage layers discretely.

View- There is a management of DOM instances in the View part of Vue. It makes use of DOM-based templating to successfully creating root elements and correspond with required DOM components.

Viewmodel- It handles the synching necessity between Model and View part of code. This Object is the primary part to interact developers with code.

Architecture of Vue and its DOM structures are abstracted into parts- Filters and Directives. Vue is not a full-blown framework so it follows a View layer pattern, handling of app development is made simple and flexible.

4. Scalability-

React-

React apps are made up of pure javascript so developers can depend on traditional easy to organize the code to make projects more scalable. This is a good framework for building scalable UIs pertaining to the concept of virtual DOM and component reusability.

Vue-

Vue is preferred for developing small-time apps and not scalable apps regardless of its ability to extend app with its flexible tools. Scalability can be made possible by forking a vue app by breaking it into multiple multiple repositories to separate the app for convenient scaling as per requirement. As the architecture is little dynamic, scalability is achieved by using web packs and Mixin elements offered by Vue to override the code extending limitations.

5. Application Size-

React- 

It is a library and not a fully featured frontend framework like Angular. React’s app sizes are bigger as compared to other. Latest react versions have reduced bundle size by reducing app size by 30% to previous version.

Also know- Most Common Mistakes To Avoid In React Development.

Vue-

It is a lightweight framework and so its app size might not be heavy like other frameworks. A simple Vue app has a size of between 50kB to 100kB. Vue CLI might make the app size appear large when it loads the code for first time due, but implementing lazy loading components, codes can be broken into smaller parts and improve load time. Tools such as NuxtJS, Vuex, Bit, Vue-router eliminate the need of code writing from scratch with effective state management that predicts unnecessary functions, codes and eliminates them.

Know the reasons to choose VueJS for web app development at- Why You Should Choose VueJS For Web App Development?

6. Code Maintenance-

React-

We know that react has component based architecture and it concentrates on building UI components, custom functionalities in user interface and optimally using logic to build functionalities. While developing app with React, you are developing functional and individual code snippets. Those snippets are reusable to other apps and various modules of the app. Dividing app into specific parts helps to manage app efficiently. 

Vue-

Vue is ever-growing technology and is rising in pace against most frameworks that have existed for a long time. So maintaining a Vue app is not that much hard. Vue lacks good support, creating conventional coding practices help to overcome limitations and obstacles. Vue is future-proof considering its effortless integration abilities and code grafting continuity onto existing DOM and HTML mark-up with zero prerequisites.

When To Choose REACT?

• You can choose react when you want to play around with many libraries, tools or ecosystems.
• Prefer React to develop scalable apps without any hassle for testing and debugging.
• Go with React to build complex app with better time-to-market.
• You can build video streaming platforms and media sites effectively with React.

When To Choose VUE?

• You can prefer Vue to build progressive web apps and single page apps.
• Also, if you want to extend the functionality of existing apps, go with Vue.

Final Words-

The above comparison will surely help you to choose the best one between React and Vue. If you are still confused to choose the best one, consult with solace experts. We are here to help you through consultation and development with experts skilled in modern technologies. You can also hire react developers and Vue developers of Solace Team for an effective development. Connect with Solace and get a free quote for an effective web app development. We will be happy to help you.