The gaming industry is always in the process of evolving, and one of the latest changes centers around the potential of Web3 technologies.
Developers, publishers and creatives have an unrivaled opportunity to get in on the ground floor with this emerging ecosystem, but what is so exciting about this intriguing new era we’re entering right now?
Web3 gaming is an exciting new development in the world of blockchain tech. It offers gamers a unique chance to explore the benefits of decentralized gaming platforms, sitting parallel to other decentralized apps.
Most significantly, it offers up a secure, transparent, and immutable gaming environment, allowing players to interact with each other and the game in a trustless way, and minimizing common threats.
It can even be built on top of existing games, and give players access to new features without developers needing to start from scratch. All of these features are powered by the security of blockchain technology, and make web3 gaming a truly revolutionary experience.
Differentiating Between Traditional and Blockchain Gaming
Traditional gaming platforms often rely on centralized servers, which can create potential security risks and single points of failure. Web3 gaming, however, utilizes the blockchain to embrace a decentralized approach which is safer and more robust.
This means that the entire gaming experience is both more resilient and transparent for players. Additionally, web3 games are able to leverage non-fungible tokens (NFTs) for in-game assets that can be bought, sold or traded securely without relying on third parties. With these features combined, web3 gaming offers an unparalleled level of trust and security compared to incumbent, established platforms and API frameworks.
Leveraging the Power of Non-Fungible Tokens in Web3 Games
One thing which many agencies that offer web3 games growth marketing like Upptic focus on when assisting clients is the potential represented by NFTs.
They can be used to put together unique and engaging web3 games, since developers are able to create digital assets that can be bought, sold or traded by players in an ecosystem that’s entirely outside of the control of any one party. This allows players to truly own their in-game items, which in turn delivers a more immersive game experience.
It also enables developers to monetize their games by allowing players to purchase and trade rare items. As such, all of these features make NFTs an essential part of any web3 gaming experience.
Unlocking the Potential of Decentralized Gaming Networks
Decentralized gaming networks are another key component of web3 gaming. These networks provide a secure, transparent, and immutable infrastructure for developers to create games that leverage the power of the blockchain.
Developers can use these networks to allow players to interact with each other and the game in a trustless way. This frees them from many of the concerns and complexities that come with hosting central servers to keep a game’s infrastructure up and running over time.
The Future of Web3 Gaming and the Benefits to Developers
Web3 gaming is still in its early stages, but it’s clear that it has tremendous potential. With the right tools and technologies, developers are in a prime position to capitalize on the broader blockchain movement.
That said, the volatility of crypto assets and the backlash against NFTs in recent months might give some cause to pause and take stock before diving in headfirst.
Wrapping up
At the moment web3 tech is being adopted gradually across the industry, and the extent of its impact on gaming remains to be seen.
Nevertheless, it’s a revolution which won’t stop any time soon, so those looking to future proof their gaming project and their careers need to take notice.
Does AI sound like something very complicated to you? Do you think that you have never faced AI options before? You will be surprised when finding out that you have worked with AI technologies many times in your life.
And this approach is not as terrifying as it may appear to be at the first glance. JatApp professionals who created learning apps like Duolingo using AI (go to this website to have more information jatapp.co) will explain to you the essence of this technology and showcase how it is practically used. Find out brief info about how to code a language learning app using AI technologies.
The Importance of AI for Mobile Apps
Artificial intelligence (AI) is used for making decisions by applying real-time data. This technology is more flexible compared to machines that are more passive in decision-making. AI is associated with the capability to predeterminate the responses. That is why it is widely used for eLearning and benefits such areas as production, economics, and medicine. AI is effective at combating identity theft and different cyber threats. It is applied to make browser fingerprinting work. Many businesses state that AI helps with gaining competitive advantages and delivering better customer service. AI is widely used for problem-solving.
Recently, AI started to be integrated into mobile apps too. The trend is growing rapidly as mobile apps lack AI facilities.
Routes of AI Popularity
AI has become extremely popular for many reasons. The most interesting and important ones:
Neural networks
Neural networks are used to accompany the process of resolving many daily tasks. The most popular examples are these ones:
automatic recognition and email sorting;
computer games images and algorithms;
digital camera operation and automatic facial detection;
automatic voice recognition;
signature authentication.
Attentive to user feedback
The AI application will enable users to collect and process user feedback in a more effective way. This is especially important for those developers who are interested in how to make an app like Duolingo. AI enables ensuring real interaction between the users and a tool. Considering likes and dislikes more precisely also becomes possible. This information serves as a valuable source to improve customer experience next.
Automated reasoning
This feature is extremely important for problem-solving. It helps to identify the best solution taking into account the parameters of a given situation. The best example, in this case, is Uber. Its algorithms help to identify the shortest route among all the possible ones. This makes the user experience more convenient and cheaper.
Conversational UI
This feature enables one to interact with a computer or mobile phone in human terms. AI enables the conversation to be resilient. Providing effective replies matters a lot for customer experience and problem-solving. This is especially important if you want to develop an app like Duolingo.
Finalize monotonous tasks faster
AI provides opportunities to complete repetitive tasks faster and more effectively. Thanks to this feature users are allowed to have more time for creative and important things to do. Keep this feature in mind if you want to make your own language app. It will help you to ensure a better user experience.
Accuracy
AI introduces an amazing opportunity to get more accurate results. Speedy outputs also become possible in this case without sacrificing accuracy in any way. And what is also important is that the risk of mistakes is decreased a lot thanks to applying AI.
AI Technologies to Know about in the First Turn
If you want to find out more about AI as a user or even interested in how to make a learning app, be aware of these major points of the recent AI application:
Speech recognition
This is one of the most popular AI technologies for mobile applications now. It represents a voice control system with automatic speech recognition. The technology is based on the conversion of human language into a language that a computer can understand. Many mobile app developers decided to implement the same feature in their tools as well. It makes the user experience far more convenient.
Chatbots
When the story comes to mobile applications, the said feature is of great importance. It enables people to provide feedback about the customer experience they have gained. Mobile apps developers consequently can use this feedback to enhance the user experience and make it more adaptable to the needs of customers.
Machine learning
This is the future that is widely used in most applications. It is extremely helpful for classification and forecasting. A business that is based on forecasting needs this AI feature for sure. It is also important for those who want to create a language app.
Biometrics
AI technologies provide a great room to analyze, identify, and assess human behavior. Thanks to its application, it becomes possible to easily recognize physical aspects of the human body, including structure, shape, and size. This technology is also associated with sensory and voice recorders, gesture control, etc.
If you are interested in ways of developing an application for better customer experience, natural language technology is one you should integrate. It helps to track user feedback more effectively.
Duolingo Case of AI Application
Duolingo has become an extremely popular application for many reasons. It has a convenient user interface, provides quality learning materials, and is also boosted by AI features. Such AI features will be especially important for those readers who are interested in how to create a language learning app:
Speed repetition
Duolingo has created very detailed profiles based on the things that users don’t know and the things they want to know. For instance, some word is repeated a specific number of times. This helps an app forecast how long a user will remember this word.
Duolingo introduces some words that a user has not seen. It is included in the exercises that are repeated more or less frequently. This approach helps with overcoming possible learning and memorizing challenges. The app will suggest exercises that will help a user memorize a certain word. It will also introduce extra exercises for those points where you experience some learning difficulties. For instance, if you make mistakes with past simple, the app picks the exercises exactly with past simple to enhance your knowledge.
Birdbrain
This approach helps to pick the exact exercise to make your knowledge enhanced and ensure you can tackle this exercise without any extra stress. The approach enables developers to predict that a user will likely answer a certain question or task correctly with the probability of 90%, for instance. So, if a user steadily gives the wrong answers, an app gives tasks that are a bit simpler.
Blame
Apart from the task customization based on the previous correct and incorrect answers, Duolingo also needs to identify why a user fails to complete a specific exercise. The app identifies the reason for making a mistake whether it was associated with the tense, sentence structure, a part of speech, etc. So, Duolingo gets a chance to pick the most suitable exercises to fix the problem and make it solved.
Active learning
This approach is based on the analysis of previous mistakes made by the user. If a customer has challenges with remembering specific words or sentence structures, tenses, or similar things, the app picks the most suitable tips to make a user memorize the right spelling or grammar rule. The app helps to learn faster and avoid forgetting about a problem.
Logic regression
This approach is widely applied to challenging questions. If a user picks an incorrect answer, there is always an opportunity to request a report and find out what was wrong. If a user thinks that his/her answer was correct, it is possible to appeal such the answer suggested by the app. This makes the learning process more interactive.
Bandit
The app sends everyday notifications remembering that you have to practice more on the matter. Duolingo even analyzes the effectiveness of its notifications to improve it. AI defines when to send the exact notification and what to say to a customer to interest him/her in learning a language further. This is made based on tracking the activities that a customer does in Duolingo.
Applying AI is a promising thing in many industries, including business, medicine, and education. It is widely used to automate processes and work with information more effectively. AI also helps to make the user experience better. And now, AI is widely brought to different mobile apps to make them more useful.
Duolingo has become one of the most popular language learning apps thanks to the application of advanced AI technologies, such as speed repetition, Birdbrain, Blame, and many others. These technologies will be especially useful for those users who are interested in how to make a language learning app, like Duolingo.
