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Artificial Intelligence (AI)

The Past, Present, and Future for the Practical Applications of Augmented Reality

Here we discuss the past, present, & future for the practical applications of augmented reality (AR). AR Technology adds interactivity to the user’s experience of a real-world environment.

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Augmented Reality in Future

The real influence of Augmented Reality lies in how it brings various components of the technology words into an individual’s conscious field, not only through data but also through the integration of sensations that are perceived as natural. However, it has been functional since the early 1990s, when the US Air Force developed a virtual fixtures system. The experience, back then, for the first time, took place in entertainment and gaming businesses. Today, Augmented Reality is a part of almost every smartphone, helping users interact and experience real-like scenarios virtually.

For examples, Yap Studios, in partnership with Apple, developed a Statue of Liberty augmented reality app, that will be helping iOS users around the world experience iconic statue in their homes. Similarly, Minecraft recently released their office new AR platform game called Minecraft Earth, that will stimulate the actual surroundings of the user into a gaming experience, similar to Minecraft web.

Small and big companies around the world are adapting to augmented reality and using its features to explore and add interactivity to the user’s experience. From watching movies, from turning an empty table into a multiplayer gaming platform, what we can do with this AR technology is genuinely limitless.

Future of Augmented Reality

However, Augmented reality is not limited to gaming alone. It is meant to be serious business in the future. To start with the numbers, by 2025, the video game market using AR is estimated to be $11.6 billion and can become a trillion dollar industry by that time. Moreover, many other sectors will include AR into their marketing plans. For example, the healthcare industry is already planning to use AR for faster diagnosis of illnesses, which is estimated to be a $5 billion industry. Medical devices will be able to find veins faster than a phlebotomist, which is incredible for the future. If not anything else, the education market will bring in $7 million using AR technologies.

The real estate and home improvement industry will be using AR for interactive walkthroughs and for using home information easily through mobile apps. Companies like Ikea are already working on the development of realistic environments for their customers to experience items personally, by scaling and zooming of things, making them fit exactly as they would ideally look in their homes.

Additionally, customers love AR. Over 71 percent of retailers agree that they would likely shop more often. Over 40 percent of individuals would pay more for a product that offered augmented experience. Owing to this, invisible stores have opened up in New York and Los Angeles using the power of AR to push sneakers on people using a GPS and a single app, which is expected to become a trend of its own.

Augmented Reality Game GPS

Not only shopping, but companies are also using the power of AR to help experience travel, which is turning into an industry of over 4 billion in the next seven years. Eighty-four percent of customers wish that there was a tech to inform travel experiences. There are many AR travel apps, such as Wikitude and Etips, as city guides. The application also provides itineraries, GPS enabled maps of the area and on-screen recommendations. It will also allow customers to receive the best hotel and restaurants and sightseeing stops.

Such companies will power city guides, expeditions without leaving home, and offer improvements to zoos, and amusement parks. The advancements will allow visitors to overlay skin and movement onto skeletons, which will also enable visitors to search for plants and animals, using an application and a camera on their phones.

Google Expeditions will be using augmented reality for taking school children on field trips around the world, in which they won’t have to leave the safety of their classrooms. Students will be able to experience places like mars and great barrier reef, which will be cheaper and useful for individuals who are physically disabled.

AR Technology Games

Currently, the augmented reality has reached a stage where a variety of futuristic improvements and technological changes are done with one another to build an expanded reality package that includes general hardware components, display, sensors and input devices, and software.

The display components, which is usually a smartphone, contains a process, an accelerometer, GPS, camera, microphone that contains all the hardware required to build an advanced AR accessory. The display is generally head mounted, or eyeglasses, virtual retinal spectacles, or EyeTap rays that are captured from the substitutes with a computer generated one. While it is essential to build the hardware, software development will take the majority of the time, given the technicalities involved in Augmented Reality Markup Language, which standardizes the XML grammar for virtual reality (VR).

With all such development and rapid innovations, the future of Augmented Reality looks bright. Jessica Lowry, one of the finest UX designers of our time, states that AR is the future of design. Moreover, AR has become an integral part of our lives, so much so that it is an essential part of our bodies. It won’t be unrealistic to state that AR will provide opportunities to offer first class user experience in their world.

There will be critical advancements in the Internet of Things. UX designers will be using AR to build traditional experiences on an advanced platform that. Users will have much better control over what they see and do. Experience won’t be limited to time or place. While these experiences for leisure and pleasure, there will be many more enhancements to improve the workability of individuals at work. A decade ago, we were waiting for the future to arrive. Today, the future is here.

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Artificial Intelligence (AI)

How to Apply Artificial Intelligence in Chat Filters

In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters. If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation.

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Top 10 Startups In India That Use Ai To Solve Daily Problems

In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters.

If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation. A chat filter is a script commonly used in chat rooms for automatically scanning the users’ comments. This process starts immediately after posting the comments, and filters remove or censor inappropriate words. These filters also decide the flow of the chat in a conversation.

Suppose you want to make a Career in Artificial Intelligence. In that case, you should have a strong foundation of statistics and mathematics, one programming language, preferably Python, and the fundamentals of machine learning and its various algorithms. It would help you to start a career in AI.

The people who are already in the AI and related industries can pursue the AI Program Leader. It will help them upgrade themselves to the latest trends and technologies related to AI and machine learning.

Career in Artificial Intelligence Programming

Image Credit: geeksforgeeks

As technology is advancing with time, the application of AI is increasing in every domain. Human beings capabilities like understanding the complexities of various languages, computer vision, speech, and building new intelligent ideas are now possible using AI technology. For that, we have to update with the latest developments in AI and its advanced areas.

Here, we will discuss the application of Artificial Intelligence in chatbot filters.

There are two categories of chat filters used in chat rooms or internet forums – the basic and advanced chatbot filters. The basic bot filters scan only for particular strings of letters and censor them. It doesn’t take care of the meaning of those letters in the context of the sentence.

Advanced chatbot filters examine the letters or words in the sentence context, and hence, their filtering is more sophisticated. Some more advanced chatting filters use a regular expression to find and replace terms in a sentence.

1. Types of Chat Filters

There are five different types of chatbot filter:

Attribute: In this type of filter, you have to create your quality to create a rule.

Lifespan: In this type, the bot acts based on the lifespan value.

Score: Here, we use the confidence score value to choose the response that should allow the bot trigger.

Resolve Query: In this filter, the bot responds depending on the user’s input.

Trigger: Determine trigger to activate bot responses and actions.

These are the different filters that may apply to a chatbot. We can use multiple filters for a single response. A user can see the reactions only if they meet the criteria in the filter.

2. Need for Artificial Intelligence in Chat Filters

Artificial Intelligence changed the way we think about data. It changed the people’s paradigm about how we integrate information and analyze data, and based upon the data, how to improve the decision-making ability of machines. AI is already interfering with our day-to-day life. From Google search results recommendations to Apple’s virtual assistant Siri, we use AI in every aspect of life.

Typically most filters use a binary allow/disallow list, but we know that languages are not binary. They are complex and modulated.

In many older internet forums, some common swear words will be allowed based on context. One can build a regular expression or RegEx tool, and it can filter the string out of terms, but it cannot distinguish between some critical phrases. For that, we need to apply artificial intelligence and natural language processing in creating chat rooms.

3. Application of Natural Language Processing in Chat Filters

In the case of chatbot filters, we use natural language processing. NLP is a sub-domain of AI that deals with the interaction between computers and human language. It helps the filters process and analyses the vast amount of natural language data that results in a machine capable of understanding the available content more clearly.

One can program our chatbots to reply according to the context of the conversation and the data about the user. For example, one may ask the visitor whether he/she is a vegetarian or non-vegetarian and display the menu based upon the visitor’s reply using chat filters.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

In another example, consider a situation where you want your bot to forward registered users to your website and the new visitors to a registration form. Then, we have to create a flow to check if the user is registered or not.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

If a user clicks on yes, it shows him one kind of bot response and if he chooses no, it would lead to a different action. We can implement all this filtering in a chatbot by using NLP.

It is not easy for computers to understand the rules that dictate information passing using natural language processing. Sometimes these rules may be highly complex; for example, when we use a sarcastic remark to convey the message. On the other hand, sometimes there may be situations where these rules may be low-levelled; for example, one can use the character “s” for the plural form of the word.

To comprehensively understand the human language, one needs to know the language and how the terms are connected to the sentence to deliver the desired message.

NLP necessitates the algorithms to identify and extract the natural language rules for converting unstructured language data into structured language data. This is how AI and NLP are applied to chat filters.

Overall, we can say that artificial intelligence can make chatbot filters very easy and efficient. However, the techniques deployed in a particular scenario would vary case by case.

4. Frequently Asked Questions (FAQs)

a. What are the chatbots and chat filters?

Ans: Chatbots are software application for conducting an online conversation between humans and machines. It can be a text-based or text-to-speech-based system and can respond according to the user’s query.

A chat filter is used in a chatbot to censor the inappropriate words or sentences in a chat. Chat filters decide the flow of the conversation based on the user’s input.

b. What are Artificial Intelligence (AI) and Natural Language Processing (NLP)?

Ans: It can learn a specific task by a machine without explicitly programming for that task. AI systems are designed to make decisions by analyzing real-time data.

NLP is a subdomain of AI, specially programmed for interaction between humans and computers. Using NLP, a machine can read, decipher, understand, and make sense of a human language in such a practical manner.

c. How to apply AI into a chat filter?

Ans: Using a particular NLP algorithm, we can apply artificial intelligence into chat filters to smooth the undesirable content in a chat. There are different ways in which we can control the flow of the conversation in a chat room.

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