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Basic of Artificial Intelligence

Move to another section in this week. I try to explain why you apply AI in bioinformatics. Because you know that bioinformatics is a very traditional study and many people are learning applications on different techniques like sequence alignment, to bioinformatics. And now I try to discuss another scenario that you can use AI in bioinformatics.
And so first, I want to ask the question: Why AI in bioinformatics? So I try to solve a little bit about artificial intelligence. Artificial intelligence you already hear nowadays. It is hotter now. And you think…Ok, I try to show you some of the use of applications of artificial intelligence, like you will meet nowadays. For the first one, we call this is an e-mail filter. It can… every day you try to check e-mails, you can see that, the e-mail already integrate an AI that can help you do filter. Which one is spam mail, which one is not spam mail? And after that, when you check the e-mail, when you check mails, they just show you about the non-spam mail.
And if you want to see spam mail, you need to go to spam folder to check. However, most of them are already filtered as spam mail. And sometimes, you don’t have time, so you don’t need to check. So this is a one application, one very simple application for artificial intelligence. And the second one, as you see here, there’s one car here. However, this is not a normal car. This one we call it an auto-driving car. Why is it an auto-driving car? Because this is a car that can drive by itself, means that this is an artificial intelligence car and they already implement a lot of AI models inside of the car.
And then the car can learn the algorithm and they can learn the rules, and after that, they can try to try by itself. And the third one I want to show here is, you can see here is a game between the people, human people and also a computer to play chess. And here, the chess, they try to perform AI algorithms to have the chess learned, all of the way how to play with the human. And currently, they’re a lot of robots that can play chess, and they can win a lot of people. And the last one, which is the one that you will see every day, will see in our daily activities.
The last one, we call it the “auto tag” in a social network like Facebook or also Instagram, where you try to post a picture on the internet, in the social network, so you can see that the AI algorithm can help you to identify the face as well as your friend’s face, and identify automatically, and accuracy is very accurate. So, that is one of many applications that for artificial intelligence that you can see daily. And why we need to think about applying AI in bioinformatics? So first, the first reason that you can apply AI in bioinformatics because of the number of data. Because you know AI can work well, if you use a lot of data in big data area.
And then, for the figure, I want to show about the cost per human genome. So go back to previous many years, if you can get one human genome, the cost is very high, very expensive. However, currently, so you can see that the cost per genome is lower and then you can get, even you can get a lot of human genome. That’s why if you can get a lot of genomes, you can easily apply AI in this genomes, and we call AI in bioinformatics, there are a lot of resources that you can use. And the second one, the second reason that why AI can apply in bioinformatics.
As last I mentioned before, Because DNA sequence complies of a lot of nucleic base, allow 3.2 billion letters to interact. So you want to understand how the 3.2 billion letters interact. It’s still a large topic of research. And that’s why it has been known for a while. There is no way a single person could interpret such a language. And that’s why the computer, the power of computers comes in. And it’s when the language of life meets the language of nature. And it’s where bioinformatics can emerge. Because you see that, there’s a very big data in DNA sequence, and you need a computer to learn it, not only a human.
With the development of bio…AI in bioinformatics, there are some companies already use successfully in applying AI or deep learning in bioinformatics or assemble some deep genomics, they try to apply different deep learning and stay of the active deep learning models in genomics. Like genomics data and they get a lot of fundings from the US. And the second one is Desktop Genetics, they also apply AI in different techniques, different bioinformatics like gene editing, also the genome. And the last one, Google AI is very popular because Google is an AI team from Google. They try to develop some AI molecules in different fields. And currently, they also move their efforts to understand the genomes data.
That’s why it’s also another successful commonly in using AI in bioinformatics.

In this video, Dr. Khanh Le will explain two reasons for utilizing AI in Bioinformatics. The first one is because of the massive number of data.  And the second one is because the DNA sequence complies with a lot of nucleic bases, allow 3.2 billion letters to interact. So if you want to understand how the 3.2 billion DNA letters interact, you will need AI to assist you to analyze.

At the final slide, Dr. Khanh Le will introduce companies using AI in bioinformatics, includes Deep Genomics, Desktop Genetics, Google AI.

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Artificial Intelligence in Bioinformatics

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