- 3 days ago
فسيلة - transplant
هي مكتبة رقمية تحتوي علي آلاف الفيديوهات العربية في جميع المجالات
It is a digital library containing thousands of Arabic videos in all fields.
قوائم تشغيل فسيلة
https://www.dailymotion.com/fasela/playlists
هي مكتبة رقمية تحتوي علي آلاف الفيديوهات العربية في جميع المجالات
It is a digital library containing thousands of Arabic videos in all fields.
قوائم تشغيل فسيلة
https://www.dailymotion.com/fasela/playlists
Category
📚
LearningTranscript
00:06Look, Protein, you're Steven, my son
00:08I'm nearing the end of my days.
00:11Don't say that, Grandpa.
00:12You will remain the master of all computers in the world
00:15Hajji Bint Ya Mu'an
00:16On Excel and Word
00:18I'm all grown up now, my son.
00:19We will take our own archers and the archers of others.
00:21enough
00:24This girl is very protective of me at night.
00:26No, Grandpa, you'll say
00:27And you'll be okay
00:29You will receive data and receive data
00:30And movies will be released too.
00:32any?
00:32I believe in crepes, meaning
00:33Which lasts ten seconds
00:35It takes four or five days to download.
00:37correct?
00:37Never mind, Grandpa
00:38So what did you want to tell me?
00:40I am building and I was a young woman to blush
00:41Omar Malhar, his entry was something forbidden
00:44And it wasn't urgent either.
00:45I was doing calculations.
00:47Extremely trendy
00:49It means you were pressing the Contour Panel
00:51Then go up
00:53Look up
00:55Look forward
00:56Grandpa, you're still in charge of the operation?
00:58It will be a trip that will get you into English
00:59The point is, your time has become terrible, my son.
01:02And we as computers
01:03There's no life left.
01:05Just me, Haj
01:05Now there are computers that run on religion.
01:08What religion?
01:09Even computers
01:10Is her lineage still in doubt?
01:12No, no lineage, Grandfather
01:13I entrust this matter to you, my son.
01:15Trust in your supervision
01:17I'm telling you, Grandpa, I'm barely managing to get a seat so I can hear you.
01:19Are you going to say something?
01:20I entrust this matter to you, my son.
01:27What is this?
01:28Oh God, protect us!
01:29Grandfather
01:29Grandpa, grandpa, grandpa
01:35Grandfather
01:35Grandpa
01:36Trust
01:37The user was on the roses yesterday
01:40If he opens today, Abu Flo will be with him.
01:50Dear viewers, peace and mercy of God be upon you.
01:52I know you're in a new episode of the show "Al-Dahrih"
01:54Every time, my dear, I find the same frustration.
01:56I use Google in it
01:57He understands me by describing the letter
01:58Even if I were a monkey, he would tell me
01:59You meant to do such and such, right?
02:01Yes, Google, that's exactly what I meant.
02:03I was just too lazy to write
02:04I wish everyone was like Google, I swear!
02:05My dear, I used to say
02:07As Ah Fi Heeh
02:08There was a time when people knew
02:09But I have to say it all.
02:11This research is a giant
02:12He can do it in the blink of an eye
02:13It flips the internet around and filters it.
02:14The information will appear, and you can verify it.
02:16Or the picture you want to see
02:18Every time you use it
02:19You find a sentence like this
02:21If you think about it, my dear
02:23That's what Google does.
02:24Something outside of glory
02:25We might not feel the power of something like this right now.
02:27For what we are used to
02:28Just so we can understand how much he meant and how quickly he fell
02:30We need someone to answer a simple question.
02:31How old is the internet anyway?
02:32According to Cisco's 2016 report
02:34The information we exchange is only about the internet.
02:37One zettabyte per year
02:39Who is this Zita, Abu Ahmed?
02:41You're right, my dear.
02:42Zeta Byte, my dear
02:43One billion terabytes
02:44Or a trillion gigabytes
02:45I know, my dear, the numbers are too much for you and all that.
02:47If you don't understand it
02:48natural
02:48Your cents are worth a trillion gigabytes
02:50From posts, tweets, memes, episodes, and videos
02:53Songs, series, movies and books
02:55And literally everything is possible, Linda.
02:57And that's just the amount of information on the internet.
02:59The PET layer contains the data and information on our own devices.
03:02Like photos and videos
03:03Or the data on bank devices
03:05or the company
03:06or governments
03:07And not just as
03:08New information creation modifiers
03:09It increases every year compared to the previous year.
03:11That is, during the past five years only
03:12Humans have created new information that is greater than all the information we have had since the beginning of history.
03:17It is estimated that the volume of this information could reach 200 zettabytes by 2025
03:23My dear friend, we live in a world overflowing with an unimaginable amount of big data.
03:27The whole world, my dear, has become Zita
03:29Our hard disks are soon unable to accommodate all this torrent of information
03:33Therefore, there remained a real need to devise new methods for storing and retrieving data with high efficiency.
03:37We have a lot of information that keeps increasing; we need to find a way to gather all of it and work on it.
03:42Imagine, for example, in 2030 the amount of data Google will need to search through to get you a result.
03:47So that you can get the Dabke dance you're wearing, you'll see it will be a hit
03:49Hey, my dear Dahya, in 2030 for example, his work will be a ring, for example.
03:53Nola
03:53Okay, so what's the solution, Abu Hamin? A solution, my dear?
03:55I'll bring you the solution
03:57The solution, my dear, is
03:59The solution, my dear, may be all around you, and has been for a long time, even before we invented computers.
04:04Nuclear or religious India is the oldest method of storing information in nature.
04:09All cells of true organisms in the one religious entity contain all the information required to produce new cells.
04:15These cells need proteins to survive.
04:17Because it too can produce new cells with the same information it has in the DNA, and life continues.
04:21That's enough, Abu Hamid.
04:22You, Abu Hamid, are telling me that I can download Elissa's new song on the Apple religious device?
04:27Not only that, my dear
04:28You are responsible for all of Elissa's, Amr Diab's, Virus, and Makalsom's albums, and every episode of El Da7ee7 on this religious channel.
04:35And an office in Congress too, if you want.
04:37And each country has a limit, it's important, I won't count how many grams are inside a small ampoule
04:40I appreciate the flash drive
04:40My dear, if you don't know, religion is a chemical compound. If you're confused, it's a complex issue.
04:45What is this, my dear? It's made up of repeating units called nucleotides.
04:50Nucleotides are of four types
04:51Cytosine, guanine, adenine, and thiamine
04:55Each of these is represented by its first letter.
04:57We have CGIT
05:00Simply put, my dear, these nucleotides bond together.
05:03They form a sequence of linked nucleotides.
05:05A always goes with T and C always goes with G
05:08And the G always goes with the C
05:09And the T has a spirit with the A
05:10For example, you could get A and T related to each other
05:12Put CG under them
05:13And then another AT one
05:15One TA followed by
05:16Be careful, my dear
05:17The chain would remain different if you put it
05:19TA is where AT is
05:20This is a difference
05:21Because the order of the nucleotides you start with makes a difference.
05:23Like I told you
05:24AT is not TA
05:25GC is not the same as CG.
05:27What a mess, my dear!
05:27Fees are flexible until you forget
05:29CG
05:29AT
05:30GC
05:31GC again
05:32And so
05:33I told you, my dear
05:34Your limit is work in it
05:35any
05:36If you thought about it for a little while, my dear
05:37Just like I thought about things, Mumma, I mean
05:39You'll find that this is almost like
05:41It's similar to how a computer uses it.
05:43If I were to design a computer, for example
05:44You will find all the information on it
05:45It is a single and yellow color.
05:48For example
05:49word
05:49hello-go computer
05:50We store it
05:51H stores as -Zero one hundred thousand
05:53And the E is stored as -Zero 11
05:550-Han
05:561-0-1
06:02Okay, the question here is, is it possible to store the word 'hello' using only the symbols D&A instead of the single and zero?
06:08It's very possible, Nahal Mana? I'm telling you no, I'm not telling you no, she's saying it's a problem, using it instead of the only one and the yellow
06:12We can agree on the letter symbols for these D&A symbols, just like we agreed on the ones and zeros on the computer.
06:16Henrboz for the letter Ibtsh psi ji itti and the i hikun ji citait
06:22The L will be like this, and the O will be like this.
06:24So that Aziz doesn't keep spitting on your face for too long.
06:26Tttttttttttttttttttttttttttttttttttttttttttt
06:28T T T T T T T, my dear, all these letters are next to each other.
06:30He wrote the word "Hello" on the D&A
06:32Congratulations, my dear! You've written your first word on the D&A. Congratulations!
06:35Anything you want to store? It will be stored in the same way.
06:38Dear Mudrik, how much information can you store?
06:40In this small D&A space
06:41You could destroy all the books in the Library of Congress
06:43Which contains more than 170 million manuscript books
06:4570 million
06:46And copy them 6000 times
06:48On the D&A, its size won't exceed the size of the sesame seed.
06:52One gram of D&A can store approximately 215 petabytes
06:57That means 215 million gigabytes
06:59The Cam Zetabytes we talked about
07:00Those who will be with us, God willing, in a few years
07:02Is it possible to store all of them, plus more, on DNA?
07:05Its size doesn't even reach the size of a bungee cord.
07:08I'm with you, Kurt Al-Bungi Bung
07:09This contains all the world's information.
07:11This might sound a bit like science fiction.
07:13God bless you, Abu Hamid
07:13If people knew you, they wouldn't have done it.
07:15Why would you go and build me a server in Norway?
07:17I don't know what else is in Dibal, Switzerland.
07:19We operate a giant facility; we do DNA.
07:22We'll put the bungee cord in our pockets.
07:24If you want to play Surf, you know.
07:25This might seem a bit like science fiction.
07:27But in reality, that's the truth.
07:28This is technology that exists today.
07:30And it's developing very rapidly.
07:31Through the research teams of large technology companies
07:34Z-MycoSoft, Illumina, and Western Digital
07:36There are definitely technical issues that are still being resolved.
07:39Before we look at these things, DNA is tracked in the markets.
07:41But that day, my dear, is getting closer.
07:42Biologists are being overwhelmed by technology.
07:44And the next generation might look at our hard drives
07:46They are surprised by their sizes.
07:47What is this, and how much does it record?
07:48Just as we might be surprised today by the size of computers in the past
07:51Or the size of the hard drives back then
07:52For example, today we have IBM's 305 RMK from 1956.
07:56The one, my dear, was somewhat like the deep in Razer
07:58And what's with all this talk about 500 micros?
08:01You might be wondering now, my dear
08:04Where is humanity headed, my friend?
08:05After storing all this information on DNA
08:07And there's something you can deal with after that anyway.
08:09I want to tell you, my dear, that people have taken this matter much further than that.
08:12I have 174 kg
08:13The first thing you might deal with after you hacked the DNA
08:16And I stored the information you wanted on it.
08:18It means you are using this DNA
08:19Or any biological materials in your calculation
08:22Why did you calculate it?
08:23What do you think, Abu Hamad?
08:24my dear
08:24Isn't this computer called a computer?
08:26The computer calculates the field instead
08:27They didn't tire your brother out with you
08:28That means we calculate using ones and zeros on the computer
08:31So, my dear, I'm here to ask
08:32Is it possible to calculate 6 + 2 on DNA?
08:34But DNA
08:35This, my dear, is what he tried to prove and sign.
08:37And his research team at Georgia Tech
08:401999
08:40This research team, my dear
08:42Nerves are extracted from a creature called a leech.
08:44My dear, he stays in the swamps
08:46He pushes into the skin like that
08:47And he sucks blood
08:48The important thing is to take your nerves off this creature.
08:49They connected these nerves via an electrode to a computer.
08:52Let these nerves count 6 plus 2
08:55Incredibly, these nerves responded to the computer.
08:57Of course, my dear, it's complicated compared to what I'm saying.
08:59And indeed, it came out to 6 plus 2
09:01Ha ha
09:023 Kamah Abu Hamad 8
09:04Woohoo
09:05My dear, I'm sitting here waiting for the result. I was on edge.
09:09This was the result of a profession
09:10And nerves extracted, where are they?
09:12He shows no signs of intelligence, not even for a purpose.
09:15Add 2 plus 6 to 8
09:17Of course, it's not "arsi" according to the second one.
09:18This is a preacher who made what happened an experiment.
09:21But the idea is that we didn't use the Cafe gang
09:22So that he can calculate the need
09:23We used a biological need for teaching
09:25So that we can calculate the need
09:26This is the achievement
09:26In this way, my dear, we now have the computer.
09:29or a biocomputer
09:30It's not a powerful computer.
09:31It is our proximity to the computer.
09:32But the important thing is that the idea, in its current form, remains different.
09:33He succeeded
09:34We proved that we can use biological materials
09:36So that we can perform calculations
09:38Tell me, "Done, that's also an easy matter, Abu Hamil."
09:40We want to see if we can solve problems that are more difficult than this.
09:42My dear, do you believe?
09:43Let's see if we have a math problem.
09:46We want to solve this problem on a computer.
09:47We'll make it Zizaya
09:48The computer solves mathematical problems.
09:49Through what is called Logigates
09:51or logic gates
09:52This is simply a set of electrical circuits
09:54Which consists of transistors
09:56pleading with some
09:57It has an input
09:57One, two, or one, is a description.
09:59Then it outputs
10:01One or a row
10:02Depending on the input it received
10:03For example, the `end` logical gate
10:05They enter it, abandoned
10:06If zero and zero equals zero
10:08If one described
10:09or zero and one
10:10Zero aspiration
10:10If one and one
10:11One look
10:12Or, for example, the OR logical gate
10:14If zero and zero equals zero
10:16If one and zero
10:16or zero and one
10:17One look
10:18If one and one
10:19One look
10:20Dear, these circles may seem simple
10:21But the important thing here
10:22D-type electrical transistor circuits
10:24It's what the computer is made from in the first place.
10:26If you were a computer
10:27And the last thing you'll find are circles.
10:29transistor circuits
10:30The one I mentioned
10:31Keep shaking the circles, many, many, many, many circles.
10:33And connected to some complex phases
10:35This is the base, this is the foundation
10:36For example, if you're talking about the part that calculates the numbers together
10:38Using logic gates will look something like this
10:41Something that looks very complicated in order to make the computer calculate a few numbers together
10:44connected to some
10:45The question now is
10:45If we can make transistors
10:47Therefore, we build logical gates.
10:49But with DNA
10:50We connect them together and make the computer live
10:52It calculates the complex problems you want.
10:54That's exactly it.
10:55The one who is at Stanford University
10:56They were able to do it in 2013
10:57Among the things they were able to do was create the first bio-transistor.
11:00Or as they called it, the transcriptionist
11:02Using DNA
11:03For example, the And gate logic is shaped by DNA.
11:05It's like this
11:06All these parts
11:07They are different sequences of DNA
11:08It can give you the same results
11:10The gate of Ad
11:11Made with transistors
11:12I'll give it to you
11:13But of course
11:14Inputs and outputs of this portal
11:16It's not a single, neutral, yellow metal like a transistor.
11:18But it will be in the form of proteinam
11:20So you are sensitive to the interference of a certain protein
11:21DNA Gateway
11:22And it produces a different protein.
11:24According to your results
11:26Oh, how can I describe it?
11:27No, he tells me, "Oh Abu Hamad"
11:28Why are you being so secretive about yourself?
11:29Don't leave me in our transistor, general.
11:30What is the meaning of the word "effects"?
11:31The transistor, without a doubt
11:33It's much simpler than that.
11:34He really
11:35The technological and computational leap made by the transistor
11:37And I, as a person, am living off its goodness now
11:40Unprecedented in human history
11:41But unfortunately
11:42In mathematical problems
11:43ordinary transistor
11:44He is unable to solve it
11:45Take, for example, your
11:46The problem of the set of subsets
11:48or
11:48And the spsad is a problem
11:49This issue, my dear, is very simple.
11:51But solving it is very difficult
11:52If you have a set of numbers
11:54For example
11:54One and two
11:56Seven, eight, and nine
11:57And I was asking
11:57What is this set of numbers?
11:59If you gather them together in your hands, ten
12:01Of course, my dear
12:02Easy question
12:03One and nine together give you ten
12:05Two and eight together also give you ten
12:07Is it true or not?
12:08One, two, and nine
12:09Gather them together and they'll give you ten
12:11The solution remains one and nine
12:12Two and eight
12:13One, two, and nine
12:14Easy means
12:14What's so difficult about that?
12:15I agree with you, my dear, it's an easy matter.
12:16If you take it to the computer, it's probably for you in Sally.
12:18But it unraveled like that
12:19It's the set of numbers that I gave you
12:20Consisting of one million random numbers
12:23And I'm asking you about number groups
12:25The one that you collect
12:26Give me your number
12:27Is the matter here still easy?
12:28It is often difficult for him
12:29And it is necessarily
12:30It's also difficult for the computer.
12:31Because this type of issue is called
12:33Non-Deterministic polynomial time problem
12:35Or in short
12:36NP
12:37We've talked about this a lot before.
12:39This type of mathematical problem
12:40It's very difficult for the computer to solve
12:41He calls me Abu Hamir
12:42Why don't we get a slightly more powerful computer?
12:43What's wrong with her computer?
12:44Masha, my dear, let's get the most powerful supercomputer in the world.
12:47Which is Frontier of the US Department of Energy
12:49This is the most powerful computer in the world
12:50This supercomputer, my dear, can do
12:52A quintillion calculations per second
12:54This is one quintillion and its side is 18 zeros
12:56A very large number
12:57The lack of calculations you need to perform
13:00To solve the saps problem
13:02If the marble collection you're looking for has a million numbers
13:04It is 2 million
13:05It means one and a half
13:07Not the 18 zeros of the pharaohs
13:09One and next to it 300,000 zeros
13:11300,000 zeros, you guys!
13:13Don't be so stubborn, you guys
13:14If through the US Department of Energy's supercomputer
13:18The most powerful quintillion calculations per second
13:21All these calculations work
13:23It will take longer than the age of the universe.
13:25billions upon billions of times
13:28Oh Levi
13:28This is so that it's over, my dear.
13:29The review phase is still to come.
13:31We will obtain an individual number, but we are not certain.
13:33We need to do it again to review.
13:34So you want to imagine
13:35Now, turn on this computer.
13:37The house clock is in Banga with a cast
13:38The house started in Banga
13:39He is preparing to use the computer.
13:40What's left, oh how many?
13:41The Lord is formed
13:42Galaxies
13:43stars
13:45planets
13:46single-celled organism
13:47These images come, these images go
13:49Homo erectus Homo cybian
13:51You are a street for planet Earth
13:53The universe ends with Wingard
13:55And the computer is still finished
13:56Mr. Computer Company
13:57enough
13:58Sorry, I only have a few numbers I'm trying to find.
14:00To find the party
14:01What equals a certain number?
14:02Please Sydney, just Marrakesh
14:03Yaster Compiante
14:04But can you imagine the energy consumption of a computer like this?
14:07What will she be like for all this time?
14:09The important thing, my dear, is what I want to say
14:10No computer, no matter how powerful,
14:11Whatever method he uses to calculate MPD problems
14:15He will be able to reach a solution within a reasonable timeframe.
14:17Almost impossible
14:18So, since you, Abu Hamad, have spread out the mat for us, what's left?
14:21Is biology, your field of specialization, capable of solving this problem?
14:25Does biology have a different perspective on the matter?
14:27This, for example, was known after the end of the universe.
14:31In 2016, a group of researchers at Lund University in Sweden estimated
14:35It is carried by an unfair computer
14:37It works with an unusual protein
14:39Its name is myosin
14:40This myosin protein is found inside live tissues
14:42And it is distinguished by being liberated
14:44For example, in the human body you will find myosin present in the muscles
14:47He is responsible for ensuring that she can be controlled or relaxed.
14:49So we can imagine that the myosin proteins in these muscles
14:52It's like small motors that power it.
14:53Why is it important that researchers took these myosin proteins?
14:56They entered it, a maze of very small channels
14:58And you'll tell me, Abu Hamad, how small is it?
15:00It's tiny, my dear, maybe a nanometer
15:01My dear, a nanometer is like dividing a millimeter into a million parts.
15:05So this single piece is a nanometer
15:07A nanometer is a very, very small thing.
15:09It's almost the same as the myosin routine.
15:11This is the simplified idea, my dear, that these researchers implemented.
15:13The NanoD channel network is so detailed that it provides all possible solutions.
15:17For a specific issue
15:19The nano-channels allow myosin to travel along specific pathways.
15:23According to the numbers in the problem you are solving
15:25And finally, you emerge from this maze through the channels located below.
15:28Which symbolizes all possible solutions to this problem
15:30For example, if we take this specific set of numbers
15:33Two, five, and nine
15:34What are all the numbers you can get?
15:36As the sum of any subset of the set of three country numbers
15:40Let's calculate it with Adeen
15:40Two and five seven
15:42If your subset consists of only one number out of three
15:44Just two, or just five, or just nine
15:46The only solutions for each subgroup of countries remain
15:49They are 2, 5, and 9
15:51Because there was no number 1 in the subgroup
15:53We just won't dress
15:53If your subset is two numbers
16:18only
16:19For the number set
16:20Swedish researchers
16:21They wanted to solve this easy problem
16:23Using a nano-channel network
16:25The one that is tailored to these three specific numbers
16:27And they brought the myocsine
16:28And the network supervisor
16:29Come on, Mayusin, run!
16:30And they're just sitting there waiting for him to come out of numbers 2, 5, and 7
16:349, 11, 14, and 16
16:36What is it?
16:37All possible solutions to the problem we explained
16:39And in a desperate way
16:40Myosin exited through the correct channels
16:42Come on, you devil!
16:43Not only that, my dear
16:44This method is for solving the SOFT SAM problem.
16:46Much faster the normal way
16:48What we envy about using computers
16:49Because myosin proteins
16:51Trying every possible solution at the same time
16:53It's as if he's performing parallel calculations.
16:56Mouse for computer
16:57Whose outfit?
16:58Quantum computer
17:00This talk
17:01What's the opposite of that?
17:02regular computer
17:03The one who does it sequentially
17:05Series
17:06Let's try calculating a set of numbers first.
17:07And after he finishes
17:08He tries a second set of bites after that.
17:10And so it proceeds in a serial manner
17:12one
17:12And then the second one
17:13And then the next
17:14Contrary to what happened
17:14In all of it together
17:15Yes
17:16The real computer and what they made
17:17It took approximately 30 seconds
17:18To solve an easy problem like this
17:20Compared to a traditional computer
17:21The one who can solve it in less than a second
17:23But this
17:23Not because the issue is difficult
17:24No matter how technically difficult
17:26In the same experiment
17:27If the experiment conditions improved
17:28And this protein computer
17:30Be more efficient at keeping silent
17:31This computer, at least theoretically
17:33He can solve the problem
17:35Seven centimeters
17:36At a time when I stay up very late
17:37Who will need a computer monitor?
17:39He was going to tell you, my dear
17:39Honestly, what I've heard about this topic
17:41Impressed
17:42A very revolutionary need
17:43very
17:43We escaped from the neighborhoods, my dear.
17:45When we said that our brains were fried, guys
17:47And we're stuck with this brain.
17:48How does he calculate and how doesn't he calculate?
17:50He is slow and peep
17:51And we said, "Merciful is now for the transistor."
17:53The place and the machines
17:54What you did for us
17:55The great cup of Butyart
17:56And now
17:57Let's go back and look at biology like this.
17:58Who has a way of saying, "There are still things in you"?
18:00Let's try you out
18:01Muhammad Allah
18:01It all goes round and round and back to biology
18:03I consider it the mother of all sciences, my dear.
18:05That was, my dear, very revolutionary talk.
18:06for him?
18:07Because first
18:07Computer parts
18:09What we did
18:09Which are myosin and Nautube
18:11Very greedy
18:12And Saniya
18:13We have proven in practice
18:14It is more efficient at solving impossible mathematical problems.
18:16On a regular computer
18:17And on top of all that
18:18The power required to run a computer like this
18:20Less than 1% of a typical computer
18:23camping
18:23So what is placed in a large proportion
18:24God willing, it's just a matter of time.
18:25Before the technological advancements in computers begin
18:28Improved quality
18:29It remains an essential tool for problem-solving
18:31Complex and difficult mathematical operations
18:35One of the most famous mathematical problems
18:37Which is classified as NP
18:38The Sapsat is not a problem.
18:40It's the travel sales problem
18:42The ones we talked about before
18:43In the algorithmic spelling loop
18:44short
18:45If you don't remember
18:45The question is, what is it? It's a simple question.
18:47If you live in the city of money
18:48And there are a number of cities around you
18:50What is the shortest route starting from your city?
18:52And it lets you pass through all the other cities
18:54Just once
18:55And you will eventually return to your city.
18:57The question may seem difficult
18:58But my dear, it's actually very difficult.
19:01It gets increasingly difficult
19:03First, increase the number of points or cities.
19:06Which you should visit
19:06This question, my friend, is classified as an NP problem.
19:08A regular computer couldn't give you an answer quickly.
19:10I can't
19:11We need a supercomputer to try and solve it.
19:14One of the questions we encounter is about the auctions.
19:16Damn, after that, my dear, I'm lost in thought.
19:18It means contemplating nature
19:19And it occurs to me
19:21Hey Abu Ahmed, why don't we design a railway network?
19:23Tokyo
19:24Honestly, I feel this is ridiculous, my dear.
19:25No, Abu Ahmed
19:26because?
19:26Don't come to Tokyo
19:27It has many large population areas.
19:29So you are the Japanese Ministry of Transport
19:31You need to know
19:32How will you extend these iron network lines?
19:34So that it is as short as possible
19:36Therefore, it is fast and highly efficient.
19:38Why don't you come here then, my dear?
19:39If we try to solve this problem
19:41biocomputer
19:42But how are we going to do this?
19:43You're right, my dear.
19:44Myson computer
19:45According to the party and this simple one, it's 30 years old.
19:47This type, we'll have to wait.
19:48He designs a complex network of railways
19:51This is a friend
19:51Let me tell you that there are 30 and ten
19:53The most compassionate researchers at Waikaido University in Japan
19:55We'll solve this problem once.
19:56Using what?
19:57Look at this type of mold
19:59Its name is Viziran Polycephalon
20:01I'm sensitive if I hold a magic wand
20:02And if I did that, someone would get hurt.
20:03Keep that in mind, my dear
20:04If you're playing this episode in the reception area
20:05Be careful, the furniture might fly away
20:06This is a talisman
20:06This researcher brought a plate of...
20:08He put a piece of oatmeal on the plate.
20:10But in a certain place
20:11They were writing about large residential areas.
20:13In Tokyo
20:14And then, what did he bring this rotten thing?
20:15He put it on the plate and they named it
20:17Mold is the first thing that is planted
20:18It began to grow and spread
20:19He began building a network of arms
20:21on the whole plate
20:22It revolves around oats
20:23So that he can eat it
20:24Within hours
20:25The mold began to improve the patterns of the mesh arms.
20:28gradually
20:29After approximately 24 hours
20:31The worker was a network of arms used for transporting food.
20:33With an almost identical design
20:35With the design of the Tokyo railway system
20:37This mold
20:38He did the same thing the engineers did.
20:40In 24 hours
20:41He entered, improving a creature like this mold
20:43The one who is corrupted at the time, you press on him
20:44You might find it while walking or in food.
20:46So you throw away the food
20:46He has organizational and neurological disorders.
20:48Supernatural
20:49We can't reach it
20:50Except with computers
20:51Super
20:52This is revolutionary, imaginative, and extraordinary.
20:54This network is what we need to create
20:55Dozens of engineers
20:57Those who worked for long hours and days
20:59So that they can design one more
21:00The world's most efficient railway systems
21:03That rotten creature
21:05You can reach the same result
21:06In Muhannad Bas
21:07In 24 hours
21:08Why don't you come and take the exam instead of me, you rotten thing?
21:10The dear one entered the exam committee
21:12The one who stood on the committee was Ammar Shaif
21:13One person enters with a mobile phone
21:14One inside with hidden headphones
21:16One inside, printed oats
21:17She's acting like a sweetheart
21:18No, I want a cheat inside.
21:19I think, my dear, it's very clear now.
21:20The world of biocomputers
21:22It will open up a world of future technology for us
21:24Even the best science fiction writer couldn't
21:27He imagines her
21:28Dear viewer, this is the world of biocomputers.
21:31It represents a dazzling achievement
21:32From the sciences of biology, engineering, and computer science
21:34The Maharda
21:35We are still in the research phase.
21:36Ongoing experiments
21:37Mostly
21:38This rapid and terrifying development
21:39He will continue to produce impressive results.
21:41And very dangerous
21:42During the coming years
21:43Especially since there's a pickpocket involved.
21:44For super-calculating drugs
21:46Using energy
21:47and heat production
21:48I flipped many conventional silicon chemists
21:50But this
21:51It raises big questions
21:52and confusing
21:52If we reach
21:53In the money stage
21:54We, using the computer, tried
21:55He uses the narrow
21:56Basically
21:57So that he can calculate and think
21:58Does this represent a shift?
21:59From being inanimate
22:09It's this cell
22:11Which is originally
22:11Our Dignity controls it
22:13So, for example
22:13Our robot is real
22:14And from the Daqnah
22:15This might make him more aware
22:16To a certain degree
22:17And if this is actually true
22:18Is this the way?
22:19That which makes a human being
22:20End tools of his presence
22:22This will be the beginning of a new technological era.
22:24By transporting man to a world
22:26Dreams in it
22:27It is reality
22:28You have an opinion, Kiam Ahmed.
22:29I don't know
22:29The one who knew very well
22:30You need to watch the previous episodes.
22:32Let's see what the next episodes bring.
22:32You go down, look at the security
22:33We're on YouTube, subscribe to the channel
22:34In the end, my dear, of course
22:35My advice: healthy food
22:36I wish we had breakfast
22:37healthy breakfast
22:38You buy it like that, of course
22:39oats
22:39The most important thing is to make sure there's no handout.
22:40For the good convergence of Tokyo railway lines
22:42I opened in Batta
22:43What is this, guys?
22:44Is he suffering from a seizure or what?
22:45No, he has a metro.
22:46Dear friend, leave the fourth metro line.
22:48There is still wood in it.
22:48And then, my dear, you'll find two cars
22:50Arab men
22:51and Arabic olive oil