Hello friend, in today's video in the playlist of Meta Verse course, we are going to discuss about mixed reality, what is mixed reality, how many types are there, along with this we are going to discuss how mixed reality works. And what are its applications and in the end of the video we are going to discuss about Artificial Intelligence i. e.
what is AI, after that about the types of AI, what are its components, after that we are going to discuss together. Application of AI and its benefits i. e.
what are the benefits of using AI, so definitely watch the video till the end and yes, if you have not subscribed to this channel yet, then subscribe quickly if you like the PPT of this course. If you want to download the notes or PDF notes, then there is a link in the description, you can download from there. Now if we talk further about what is Mix Reality, then Mix Reality is a kind of technology in which Augmented Reality and Both reality which is our virtual reality come together, so we had discussed about augmented reality and virtual reality in the previous video.
If you have not seen that video yet, then there is a link in the description, you can go there and watch it. So, mixed reality is a technology in which both augmented and virtual reality come together and creates a spectrum where physical reality and our digital reality both exist and interact in real time, meaning that when we mix If we use reality, then what we get is that both Augmented Reality and our Virtual Reality come together, that is, we can say that both digital realities and physical realities exist together as you can see in this sequence. What is it here that there is a user, what is the user doing here that is our digital content, he is also experiencing the digital content and at the same time all these things are his home, what is he doing that in a way What we have is physical realities, we are also experiencing this, both are coming together, so we call this mixed reality.
Now it comes to the types of mixed reality, there are two types of types, the first is augmented reality continuum. The second one is scatter computing and let's see about them, so first of all if we talk about Augmented Reality Quantum, then what happens inside the Augmented Reality Quantum, what does our MR i. e.
mixed reality do? That starts the range, works to define the range, meaning that the range that starts will start from our augmented reality, that is, from the experience i. e.
real world interaction to our fully immersive virtual world express till virtual reality or we can say What is the meaning of Augmented Reality Continuum ? In a way, we can say that the sequence will come one after the other, so first of all what do we do, we will experience AR, after that gradually what do we do ? What does spatial computing do?
What happens inside spatial computing? What does MR evolve? What does spatial computing do?
Whatever digital content is anchored to the What is the meaning of specific location digital content anchor, what will be the position of the anchor content, suppose that if we talk about the digital content here, you are able to watch cartoons, all these things, then its position has to be given a specific location. Location gives a specific location in the physical space. Whatever physical space it is, it will be placed at a specific location so that what the user can do is to be able to interact more naturally.
Natural means that the brothers perform naturally the way we do what we do in real time. In the same way we perform our operations in the world, we can also perform digital content. Okay, now it comes to how it works, let us first understand the scatter mapping, then what happens inside the special mapping that the MR device.
What it does is that it works to map the physical environment through sensors and cameras, meaning whatever user will be there, whatever environment will be around the user, that environment can be captured with the help of cameras and sensors. What will be done with the help of, first of all, it will map what is around the users, okay, it will create a 3D model, after that, what is the digital content, after that, it will present the digital content. When it comes to doing this, the first thing that was done was that the MR device took the parameters around the users, what is the device, what are the physical objects present, after that comes our real time processing, real time interaction comes .
What happens in real time interaction is that mixed reality allows users to interact equally with both real and virtual objects . Able to interact in real time, okay, so all these things are done, after that let us talk about what is dynamic adjustment, that is an important concept, what happens inside it that the MR device i. e.
it is a mixed reality device. What that dynamic does is that it adjusts the digital content based on the user's position and surrounding. Now what does it do according to where the user is moving?
What does it do to adjust the digital content, meaning? If we talk about the movement of users, what do we do according to where the user moves, they also move the digital content, we do the work of adjusting where there is space, we adjust it there. So, I hope that you have understood how Mix Reality works.
Now it comes to where the application of Mix Reality is used. So, first of all let's talk about Enterprise and Industry. What happens inside the industry is that like MR is used for industrial like manufacturing and maintenance, we provide all our workers with instruction and visualization in real time if they do not understand something.
So what we do is that we visualize that thing and see, this is how the work is done, this is how a worker is working, then what is visualization in today's date, the most visual things. If you understand, then animation is used more and more. Now it comes to health care.
What happens in health care is that it uses mixed reality. Whatever medical training is done, students are given all these things. What do we do that we use mixed reality?
Talking about education, mixed reality is also used in education. What MR does is create immersive educational experience. Allow user to explore the historical site.
Okay, some such sites. What do users do? A student should be able to explore.
Let the student explore. Conduct virtual experiments and interact with the 3D models. So all these things are found in education.
Design architecture is also seen. So what do we do? Design Let's do the overlaying the virtual design.
Okay, the elements are there in our physical space. We are able to combine all these things, whatever visualization is done, structure and also mixed reality is used in our design and architecture. Now let's talk about Let's talk about AI, what is Artificial Intelligence, okay, if we talk about Introduction to Artificial Intelligence, then what does Artificial Intelligence do to the development of the computer system that can perform tasks requiring human intelligence, meaning that Artificial Intelligence is a such What is a machine that does ?
It performs any task on computer base. Just like a human being can perform that task. Like human intelligence, meaning like human brain, it can perform any task by thinking.
It's less. Encompasses a range of technology. Well, there is a range of technology which enables the machine to learn reasons and solve the problem.
What any machine does is that it first learns, then after learning, what reasons find out that thing. Whatever algorithm is used, it works to solve any problem. Within Artificial Intelligence, if we talk about Artificial Intelligence, AI comes first and what is our subset of it, that is Machine Learning and What is the subset of machine learning?
Deep learning is okay, so it means that deep learning is in the lowest part, after that comes machine learning and after that comes AI, so we get to see machine learning inside AI, machine learning we If we know how it works, then how machine learning works is that first of all we give it some data, then what it does with the data is that it learns, okay, the data can be like this. What we do after that is that by performing some operations on it, we are able to get the output correctly, then in the same way, what we do is that Artificial Intelligence also works. Types, if we talk about it, then there are two types.
The first is our Narrow AI . Which is known as Weak AI and General AI which is also known as Strong AI. Now let us talk about what is Narrow AI, then what is Narrow AI which is designed for a specific task and is a true judge.
Let us talk about image recognition, language transaction translation, okay, so what is all this that it comes under Narrow AI, meaning VK AI like you Google2 English English to Hindi, so what is it doing that Narrow AI means a Weak AI is working, image processing has been done on it, if any image has to be recognized then what is all that work that comes under Narrow AI. Now if there is General AI which is also known as Strong AI, what is this? What it does is that it works on the Thorets, that is, it works just like a human, what it does on the Thorets for anything, it reads this data or we can say, it learns, understands, okay, what does it do after that?
Whatever he does, he will do all those thoughts across the wide range of tasks, what he does on any task is that he will apply his knowledge, after that he will perform any task just like a human, hence we call it human intelligence. Okay, so first of all we read about weak AI, what does weak AI do, that is, it does simple work, it just likes an image, recognizes it, translates language, all these things are strong inside our narrow weak AI. What does AI do, like chat talks about GBT or something like Bade Aa, nowadays there are many freers which means that you have put a promotion, after putting the promotion, you are getting the complete website ready, all these things inside freer.
com. If you are getting to see it, then it is said that what is General AI? What does AI do?
It works on the principles, that means it needs a lot of data, first of all to learn it, that is, to perform any task. What it does is that it takes a lot of data. After that, when you make any request, what it does is that it learns from all the data.
After that, what it does is that it works to generate an output. Now comes the matter. What are the concepts of AI?
What are the concepts of AI? First of all, if we talk about machine learning, then machine learning is the first key concept because what the AI system does is reduce the leverage on the machine learning algorithm. It works and allows us to learn patterns and make predictions based on data.
Okay, so first of all, what does machine learning do? We call machine learning by providing different types of data. Okay, if we provide different types of data, then the machine.
What learning does is it filters all this data and understands what types of patterns have been formed, after that the output is the work of finding out, after that comes Natural Language Processing, which is also known as NLP, Natural Language. What processing does is that it enables the machine to understand and interact with the human language. If any human is able to interact with any AI machine, then with the help of NPL, i.
e. Neural Language Processing, this facility Can easily communicate with any human or can process information like just like if we talk about google2 or chat about gpt then what do we do with it? How do we interact?
What did we do? If we enter a message, then the answer comes from there. So what is it doing?
We are also using Neural Language Processing there to ask what is that AI doing with us? Task means it is communicating. After that comes computer vision.
What happens inside computer vision is that the AI power of computer vision enables the machine to interrupt and understand the visual information from the image and video. There are also some computer vision which we call images . And they provide videos, what do they do with them, they learn the data, work on extracting information from them.
Okay, now it comes to where the application of AI i. e. Artificial Intelligence is used, what is its application, then the most First if we talk about AI within health care, What is it used for?
E is used for medical image analysis. For drug discovery. Plan for personalized treatment means if someone wants personal treatment then we can ask for a plan from AI.
Okay. So we work for all these things or we can say that if we have to analyze any medical image, we work for that too, so now let's talk about all these things. AI is also used in finance.
How is it used internally? So what are the powers of AI? What does it do?
It does fraud detection, it works to catch fraud, it does algorithmic trading, it works in checking credit score, it works for scoring and customers. Service in the financial industry also checks how we can provide service. If we talk about autonomous vehicles, then in today's date you are seeing that self-drive cars are coming, then self-drive.
What are the cars doing , in which AI is playing a crucial role? Crucial role in the sense that it is playing such a role that what can you do, if the car can run without a driver, then self-drive cars will come. It is enabling them, it is okay, what is the environment inside it, when to take decision, when to take negative navigate, safety selfie, all the things, what happens is that AI performs the task inside it, okay, detecting anything, after that Let's talk about virtual assistant.
Just like Siri, Alexa is making use of natural language understanding. What does it do to our and your voice? It understands well and then provides the response.
A responds and like an assistant, so all these things have become applications of Artificial Intelligence. Now it comes to the benefits, what are the benefits, so if we talk about the first benefits, then it is about auto automation, then the automation which is AI. It works meaning that the automatic is capable of performing any task, so what it does is that it increases efficiency and reducing the need of the human intervention.
So it works to reduce the interaction of any human so that the human can minimize Interact less means brother, if a machine is performing a task then it is a simple thing, the machine will do any task better than a human, okay then it minimizes the interaction of the human and we can say that all the work is automated. If we talk about data analysis, then artificial intelligence also works like data analysis, so what does AI do? It processes what amount of data quickly, so what does it do to a lot of data, what in a moment.
It does that, it analyzes it, it processes it, it interprets it, it is meaningful, it is okay, then whatever meaningful data is there, what will it do with it, will it extract its patterns, will it find out its patterns? Challenge, what is challenging for the human, so all these What are the things that if seen for humans, there are many challenging things that if we assume that we have written a paragraph, then within one paragraph, if we assume that we have to find out a word, then we assume that it is okay. If there is a word, then we have to find out how many times the word has appeared, then what can we do.
With the help of Yai, we can detect this word very quickly. If a human performs this task, then it takes a lot of time. Talking about personalization, it enables personalized experience and the various domains for from content recommendation to the product suggestion.
Okay, what content should be taken for product suggestion and based on the user preference and behavior, many more. What it does to your things , it learns from your behavior and then what it does to you accordingly, it works to give suggestions. Artificial Intelligence now comes to machine learning and deep learning which are considered as subsets of AI.
So what is Machine Learning? Machine Learning is a kind of algorithm that enables a system to learn from the data, make and improve it over a long period of time without the explicit programming. So, what does it mean?
What happens inside Machine Learning? That we give it many types of data, we give input to all the data as a data, after that what it does is feature extraction, what it does is to extract the data, after that we get to see the classification . What do we get after the car output we get is that the car is that No, like what did we do with the car here, gave it the edge input, now added features to it, did classification, after that it will tell whether it is a car or not, like suppose that before this, what would we have given to machine learning to make it learn, like we have done here.
Gave him a bike, okay, gave a car, gave a truck, gave him different types of car, different types of a vehicles, we gave him this, what does he do after that, we told him that this is this, it is okay, then what will he do after that, he will classify them. It can be sorted through different filters and it will be easily identified. In the same way , if we talk about deep learning, then what is deep learning?
It is a subset of machine learning, meaning it is meant to work on even smaller data. Evolves Artificial Neural Networks Inspired by the Human Brain Structure What it does is that just like the human brain works on the brain, which we also know as Neural Artificial Neural Networks What it does is that whatever task is done, it works just like Image and speech works to recognize it. Here we give edge input, feature extraction is done, classification is done, after that we generate the output and get it.
So I hope you have understood what mixed reality is, what is AI and what is it. What are the types, how does it work, so friend, that's all in today's video, if you liked the video, then do like, comment and subscribe and yes, if you want to download the PPT or PDF of this course. So there is a link in the description, you can download it from there.
Thanks for watching the video. Thank you bye bye guys.
