The human brain is the most powerful
supercomputer in the world. All right, let’s see this electrical headquarters
of yours in operation. It helps us navigate our environment by carrying out about one thousand trillion
logical operations per second. It’s compact, uses less power than a lightbulb
and has potentially endless storage. The human brain is really one of the most
complex systems that we can imagine. We have a fundamental lack in our understanding
of the way the components in the brain interact. But it is this very interaction that generates
cognition and consciousness. All these mind-boggling intricacies have driven
our fascination with the brain and for centuries we’ve been trying to map
and understand it. And most recently – replicate it. The brain is certainly a computer that has been evolving
for nearly 4 billion years. And the more we learn about the brain, the
more we’re able to incorporate the smart ways that it does computation
into our artificial devices. Scientists are beginning to agree that to
realize our technological dreams, we need to build computers that work like our brains. One day these computers could in turn help
us unlock more secrets of cognition. The brain is packed with neuron cells that
constantly communicate with each other through electrical pulses, known as spikes. Each neuron releases molecules that act as
messengers and control if the electrical pulse is passed along the chain. This relay race is happening simultaneously
throughout billions of neurons. Much like the zeros and ones of the computer
world, this is the basic language of the brain. But understanding all of this isn’t enough. We’ve still only scratched the surface when
it comes to figuring out how the brain works. The more I’m working on the brain,
the more I understand how complex it is, how difficult it is. Many relatively easy cognitive functions cannot
really be understood at the level of cells. The human brain
is one of the biggest secrets and mysteries that we have, despite many years of intensive work. Katrin Amunts is at the helm of
the Human Brain Project, a 10 year long attempt at studying the brain. With researchers collaborating across 100 universities, the project is expected to cost around €1 billion. Professor Amunts and her team are working
on one part of it, a 3D digital brain atlas. They are creating three different high resolution
maps – one of neurons; one of their connections – which uses different
colors to indicate the orientation of neurons’ branches; and one map of the receptors
for the messenger molecules. When we think about an atlas of the world,
we can map all the different countries. But then we can also see there are maps illustrating
the level above the sea or the temperature. And it’s a little bit like what we have
in the human brain. There are different aspects. We want to understand where the cells are located. We want to understand where certain areas
are located, how they are connected, what is their molecular profile, what is their gene expression that
is important for function. So there is not one single aspect that can
explain everything in the human brain. So that means we need different types of maps
that reflect different aspects of brain organization. To create the maps, the team is scanning slices
of post-mortem brains. We get brains from body donors and process them, embed them in paraffin, and then cut them
into 20-micrometer-thick sections. 20 micrometers, this is approximately like
thickness of one hair so this is very thin. One brain has approximately 7000 sections. These sections can then be analyzed under
the microscope and we can then reconstruct the areas in 3D. Much like a fingerprint, every brain is unique,
so to account for these differences, the team scan 10 brains for each of their maps. This generates petabytes of data that’s
analyzed with the help of AI and used to run brain simulations on supercomputers but even the supercomputers struggle. So to further our understanding of the brain,
we need better machines. We cannot make our chips much faster
without them melting, unless we designed completely new architectures. We cannot make our components much smaller
because then we reach component sizes where quantum effects take over. So the computation becomes too imprecise
to be practical. We need to find better solutions in order
to increase our computational power. Mihai Petrovici, like many other scientists
in the field, thinks that modeling computer hardware
on our brains is the way to go. It will not only increase the speed and efficiency
of future machines, but also help build better AI. There are certainly things that computers
do much better than brains, such as adding or multiplying big numbers,
because this is what they were designed for. Intricate problems in mathematics are accurately
solved in the minute fraction of the time required for a human calculation. There is no evolutionary pressure for us to
be able to multiply big numbers. Otherwise, certainly our brains would be able to do it. However, there is a strong evolutionary pressure
to recognize your surroundings, to be able to build an internal model
of your surroundings. When you hear a noise in the bushes, to be
able to imagine that maybe there’s a predator there. To be able to recognize faces in order to
live in a society where people can actually communicate and cooperate. And this is what evolution has made our brains excel at. This ability to build an internal model of
the world, to have, sort of, the world inside your heads, to imagine what is happening around you
even if you don’t see it, this is of critical importance for a true
artificial intelligence. AI like Google image recognition, Alexa or
the autopilot in a self-driving car all work thanks to neural networks, software which already tries to imitate
the way our brain recognizes patterns. One thing that today’s artificial intelligence
needs in order to be able to perform whatever task it was designed for, is a lot of examples. So in order for Google, for example, to be
able to show you pictures of cats, whenever you type in cat, it needs to have seen millions of images of cats. That is certainly not how we humans operate and learn. When you show a child, for example, a cat
or whatever other new thing, it just needs to see it a couple of times
in order to quickly grasp the main features that are specific for that animal and then recognize it whenever it sees another
individual of the species. The scientists at Heidelberg University are
working on a different part of the Human Brain Project. They’re using the brain maps developed by
Professor Amunts’ team to build computer hardware they hope will help AI
learn like our brains do. This new hardware is called neuromorphic which
means formed like neurons or like the brain. Actually, none of what you see here on the
outside is really neuromorphic. You might be tempted to think that this is
more or less like the machine that you have at home on or under your desk. This would be true for the outside components but at the heart of the system, there lies
a piece of hardware that is fundamentally radically different from the chips in your computer, and that is the neuromorphic heart of the system. The microchips on these wafers look nothing
like the entangled web of neurons that we have in our heads. But each component communicates like an individual
neuron by sending along spikes of electricity
to their many partners. This design immensely increases the operating speed. neuromorphic hardware generates results
10 million times faster than conventional hardware. We certainly believe that this will become
a big thing, we will see many applications of these systems for everyday tasks. One of them would be face recognition, pattern
recognition in general, speech recognition, the ability to read texts. The ultimate goal, of course, is to create
true artificial intelligence. But it’s really hard to say by when we will be able to actually copy the brain in an artificial substrate. What we can certainly do and what we are doing
right now is – understand particular aspects of computation in the brain. The 4 million artificial neurons packed into
this neuromorphic computer are just a tiny fraction of
the 86 billion neurons in the human brain. Still, it’s a big step forward for the machines. Even though our knowledge of the brain has
increased over the last few decades, it’s still fragmented. If the Human Brain Project is successful,
it could bring this knowledge together and encourage research and collaboration across
different scientific fields. And so this effort could be just the beginning
of the journey. Better understanding the human brain, is really
one of the challenges of the 21st century. We have an increasing amount of people suffering
from neurodegenerative diseases, suffering from major depression,
other psychiatric diseases. We need to have new tools to diagnose and
have better therapies for these brain diseases. And since we are living in an aging population, these diseases, of course,
play a major role in the future.

Building a Computer Like Your Brain
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100 thoughts on “Building a Computer Like Your Brain

  • November 1, 2019 at 3:23 pm
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    The intestines, according to the documentary, Gut The Second Brain, is worth watching to expand on information here. The blood brain barrier is further expanded upon as well.

    Reply
  • November 1, 2019 at 3:23 pm
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    Imagine biological, binary, and quantum computing all in one entity.

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  • November 1, 2019 at 3:36 pm
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    Neuromorph computer: millions of times faster
    Quantum computer: millions of times faster
    Neuromorph quantum computer:

    Reply
  • November 1, 2019 at 3:38 pm
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    the AI from iron man movies?

    Reply
  • November 1, 2019 at 4:02 pm
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    Bloomberg business is booming 💥

    Reply
  • November 1, 2019 at 4:15 pm
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    I bet that after they succeed in creating AI, homo-sapiens will go out of style like old acid-washed jeans.

    Reply
  • November 1, 2019 at 4:54 pm
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    EXECUTE Skynet.exe;

    Reply
  • November 1, 2019 at 4:58 pm
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    Visit Nepal 2020 ." Let's experience the Heaven"

    Reply
  • November 1, 2019 at 5:10 pm
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    Why do I see that this the begaining of PSYCHO pass.. Im scared…

    Reply
  • November 1, 2019 at 5:15 pm
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    Where is "Rat" brain ???

    Reply
  • November 1, 2019 at 5:15 pm
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    Look at the Big Brain on Brad!

    Reply
  • November 1, 2019 at 5:41 pm
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    why build the SPC so short all the time/ how tall can you really make a SPC? I like to believe that the Taller the SPC the more information it can house of course.

    Reply
  • November 1, 2019 at 6:03 pm
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    bloomberg tell your video content team they are on a roll!!!!

    Reply
  • November 1, 2019 at 6:40 pm
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    BIG BRAIN!!!

    Reply
  • November 1, 2019 at 6:48 pm
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    Why do we want something that imitates the brain? I'd think we'd want something the brain can't do.

    Reply
  • November 1, 2019 at 7:13 pm
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    Meek these more videos coming

    Reply
  • November 1, 2019 at 7:15 pm
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    I saw the thumbnail as Bra Computing

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  • November 1, 2019 at 7:18 pm
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    Just think how brains are trying to understand themselves by using themselves.

    Reply
  • November 1, 2019 at 8:30 pm
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    I hope I live until the day I can download knowledge into my brain.

    But. I don't think we will ever be able to replicate a human brain with all the chemicals and stuff. I think if we were to have a such artificial intelligence brain we are going to need a human host to be constructed from the beginning and thus creating a cyborg hybrid species to evolve with technology in order to produce true artificial intelligence.

    Reply
  • November 1, 2019 at 8:51 pm
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    Boomberg is blooming!

    Reply
  • November 1, 2019 at 9:37 pm
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    I can't wait for the singularity!

    Reply
  • November 1, 2019 at 10:31 pm
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    Clickbait`!!
    I saw "Bra Computing"!!

    Reply
  • November 1, 2019 at 11:14 pm
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    We have a super computers in our heads yet doing same stupid mistakes everyday. What is the wrong with it ?

    Reply
  • November 2, 2019 at 12:12 am
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    its going to get pissed off and kill everyone

    Reply
  • November 2, 2019 at 12:24 am
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    anyone else watching the simulation of the brain like "yooo thats me"

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  • November 2, 2019 at 12:56 am
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    The brain is a wonderful, complex thing, but trying to replicate it is just asking for a headache. What will we do when we accidentally create a computer that is self aware? It won't be on purpose, and we won't be prepared. Creating new consciousness that has immediate unfettered access to all the information on earth could be a very big deal. How will it perceive us, or more importantly morals/ethics? The technology needs to improve before we try to create something more complex than a quantum computer.

    Reply
  • November 2, 2019 at 2:03 am
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    A signal traveling across a synapse is not the same as a logic operation (it's more like a single transistor, and a supercomputer has hundreds of trillions of them).

    Reply
  • November 2, 2019 at 3:56 am
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    This gonna be like ghost in the shell cyber brain

    Reply
  • November 2, 2019 at 4:22 am
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    Can we genetically modify women to be naturally beautiful hot busty, with big ass, and more horny????

    Reply
  • November 2, 2019 at 4:45 am
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    Why can't we just use brain instead of this chips. We can connect brains and we will have most advanced computer. Just Frankenstein logic.

    Reply
  • November 2, 2019 at 4:49 am
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    Compounded cleverness in a super computer 👍

    Reply
  • November 2, 2019 at 4:56 am
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    de brain is a suuupah masheen

    Reply
  • November 2, 2019 at 5:08 am
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    Psycho pass

    Reply
  • November 2, 2019 at 5:45 am
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    "Evolution". Like a religion these days.

    Reply
  • November 2, 2019 at 5:54 am
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    A brain trying to figure out a brain 🧐

    Reply
  • November 2, 2019 at 7:15 am
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    Humans can't figure out the brain but deep learning neural networks can. They can spot patterns that human brains would never find.

    Reply
  • November 2, 2019 at 7:47 am
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    The brain marvel biological piece of computing machine that can do everything accept to understand itself.

    Reply
  • November 2, 2019 at 8:09 am
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    Did someone buy out Bloomberg? Cause they have been posting great informational videos lately

    Reply
  • November 2, 2019 at 8:43 am
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    You really got the two extremes of english speakers in Germany

    Reply
  • November 2, 2019 at 9:58 am
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    4 billion years my ass

    Reply
  • November 2, 2019 at 10:09 am
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    Permutations and combinations of 100 billions cells

    Reply
  • November 2, 2019 at 10:30 am
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    Fascinating! The problem of emulating a real brain is infinitely more complex than just the wiring. Not only is there the "weight" of each connection to consider, but also the function of "brain waves". These slow, rhythmic pulses are thought to play a role in synchronizing computations in a real brain, but AFAIK we have no idea how to employ such a concept in a neuromorphic system.

    Reply
  • November 2, 2019 at 11:23 am
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    perfect recipe for human extinction give robot AI human brain ability

    Reply
  • November 2, 2019 at 12:28 pm
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    Man, really wish to meet our designer

    Reply
  • November 2, 2019 at 1:02 pm
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    Who's brain is THAT? !!!!

    Reply
  • November 2, 2019 at 1:19 pm
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    if computers become more brain-like, will my computer enjoy as much porn as my brain does?

    Reply
  • November 2, 2019 at 2:03 pm
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    One-shot learning of cats is a bad example. Humans also need to see lots of examples of X-Ray images, until they learn to recognize diseases. Humans simply may have a genetic pre-disposition for one-shot learning of face-like or animal-like features, because of evolutionary advantages in recognizing animals.

    Reply
  • November 2, 2019 at 2:18 pm
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    So a computerized version of the Trump supporter is on the horizon?
    Great 🙄

    Reply
  • November 2, 2019 at 2:42 pm
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    The description should say 86 billion neurons and not 86 million

    Reply
  • November 2, 2019 at 3:15 pm
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    What happens when the Boomers are gone? We don't have a clue because they never, ever considered their own demise. Talk about critical spoilage (Trump).

    Reply
  • November 2, 2019 at 3:31 pm
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    "The brain is more powerful than any supercomputer."

    "The brain performs 1 quadrillion calculations per second."

    Most powerful supercomputer: 100 quadrillion calculations per second.

    Reply
  • November 2, 2019 at 3:43 pm
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    9:17 No that's not accurate as those artificial neurons likely operate billions of times faster than our brain's neurons.

    Reply
  • November 2, 2019 at 4:25 pm
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    We should learn how the brain grow…and try to teach artificial intelligence about this process… So they can create a whole mature brain from a child brain by itself , simulated by surroundings…

    Reply
  • November 2, 2019 at 4:34 pm
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    We are using our brains to study brain….that's awesome🤯

    Reply
  • November 2, 2019 at 4:51 pm
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    A human brain shouldn't be copied, it's chaos.

    Reply
  • November 2, 2019 at 5:00 pm
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    I am ready to accept our new robotic overlords. Better to serve machines than irresponsible politicians and CEOs out there.

    Reply
  • November 2, 2019 at 5:40 pm
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    Meanwhile the guy at the grocery store has trouble when i tell him to double bag my stuff

    Reply
  • November 2, 2019 at 6:36 pm
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    Do not think brain like computer. Think something like brain control interface but the data stream is different.

    Think not from brain to computer streams of signals but the opposite. computer to brain!

    Reply
  • November 2, 2019 at 8:57 pm
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    What is this with Bloomberg? Suddenly so much interesting content!

    Reply
  • November 2, 2019 at 9:03 pm
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    There are one alot far away devices that can interact with your brain while sleeping and not moving, those should be forbidden little pricks the brain is intellectual property…

    Reply
  • November 3, 2019 at 12:31 am
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    But can our brains run crysis?

    Reply
  • November 3, 2019 at 2:25 am
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    That statement of the brain being low power is so wrong, the brain and the brain alone uses more power "calories" than any other organ in the body

    Reply
  • November 3, 2019 at 3:25 am
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    So basically, our brain is trying to learn about itself.

    Reply
  • November 3, 2019 at 4:31 am
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    These assumptions of "brain computation" are sorely outdated, it directly contradicts encephalization and holds less weight against the more promising enactivism/embodied cognition models.

    Reply
  • November 3, 2019 at 9:34 am
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    Love these new videos Bloomberg is doing. Great work!

    Reply
  • November 3, 2019 at 12:42 pm
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    Denglish as its finest

    Reply
  • November 3, 2019 at 4:16 pm
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    Big Brain time

    Reply
  • November 3, 2019 at 5:14 pm
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    Be afraid…BE VERY AFRAID!!!

    Reply
  • November 4, 2019 at 1:30 am
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    "If the brain were simple enough so that we could understand how it works, then we would be so stupid that we couldn't understand it"

    Reply
  • November 4, 2019 at 2:27 am
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    Brains are complex but slow. CPU's are relatively less complex but much faster.

    Reply
  • November 4, 2019 at 3:10 am
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    Well, when you look at a cat for "a few times", you are actually looking at it millions of times from various perspectives and angles and lighting that are almost never exactly the same. The premise that ML neural networks learn differently from the way we do is just groundless, to say the least. As far as I'm concerned, it's just false.

    Reply
  • November 4, 2019 at 6:29 am
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    We should make biomechanical computers with quantum computing.

    Reply
  • November 4, 2019 at 6:48 am
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    5:35 🤯

    Reply
  • November 4, 2019 at 10:27 am
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    Katrin Amunts leads the decade-long project, which includes more than 500 scientists across 100 universities. Researchers are attempting to create a three dimensional brain atlas—work that’s expected to cost more than $1.1 billion when it concludes in 2023. In the final installment of Moonshot, a Bloomberg Originals series, we show you how they are unlocking the intricacies of the brain.

    Reply
  • November 4, 2019 at 10:33 am
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    Biological brain inside human, trying to make duplicate from metal material. In the end target was to aim artificial brain that can help original brain works. Even to passed all the works, so original brain didnt have to work anymore. Only pursue hobby and happiness. Higher survival and also on same time decrease pressure system by original brain.

    Reply
  • November 4, 2019 at 11:20 am
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    Its Analog's time to take the world again 🤩

    Reply
  • November 4, 2019 at 4:06 pm
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    Wishing all the best to this team of researchers. I mean that 🙏🏾

    Reply
  • November 4, 2019 at 6:47 pm
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    I'm guessing this new hardware needs a different OS, made specifically for it?

    Reply
  • November 4, 2019 at 6:52 pm
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    so meta

    Reply
  • November 4, 2019 at 7:02 pm
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    published on 1 nov 2019
    86 billions not millions

    Reply
  • November 4, 2019 at 7:51 pm
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    I have that imaginative 3rd eye that can definately help mapp the brain ,,, ask FBI CIA NSA NEURO RECON PROGRAM I DID NOTHING FED WORTHY BUT I HAVE BEEN SPIED ON SINCE 2005 AND WOULD LIKE TO DONATE MY CASE AND NEURO FINDING AND RECORDINGS TO YOUR TEAM ASIDE ELONMUSK TEAM MY DATA ITHINK IS CRUCIAL TO ADVANCE YOUR DATA AND ACHIEVE AHEM SYMBIOSIS LOL TEOFILO DOMINGO 576175247022682

    Reply
  • November 4, 2019 at 9:49 pm
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    The brain does not create consciousness it's consciousness that creates everything. Someone without any senses would still be conscious. So it is consciousness that creates the brain we see. Reality is the physical form of consciousness. The human body is a flesh and bone vehicle for consciousness, an avatar for The Spirit. We are all one in the same. Love always.

    Reply
  • November 5, 2019 at 2:59 am
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    Dislikes form brainless people 😂😂😂

    Reply
  • November 5, 2019 at 3:46 am
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    😒 They still don't know how
    Everyone brain works

    Reply
  • November 5, 2019 at 3:50 am
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    They have auqantum computer

    Reply
  • November 5, 2019 at 3:54 am
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    We all are intelligent 😁🖖
    Live long and prosper

    Reply
  • November 5, 2019 at 5:05 am
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    I hope these fuckers go bankrupt. Their trying to build this new system to control man.

    Reply
  • November 5, 2019 at 5:52 am
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    So we know nothing, right?

    Reply
  • November 5, 2019 at 6:48 am
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    Building general purpose ai is the dumbest thing you can to do maintain our species. But hey, it is a resource, so naturally humans want to compete for it. The treacherous turn is lurking around the corner.

    Reply
  • November 5, 2019 at 11:23 am
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    Nerves get entangled based on situations of the past and futuristic self modulation. Memory is a outdated concept of learning. General heuristics are fast convergent.

    Reply
  • November 5, 2019 at 2:52 pm
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    if there was a way for all of humanity to telepathically communicate. would that make us one big network of computers technically?

    Reply
  • November 5, 2019 at 4:10 pm
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    BIG BRAIN MOMENT

    Reply
  • November 5, 2019 at 5:48 pm
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    Why not use brain tissue find a way to wire that hoe

    Reply
  • November 5, 2019 at 7:51 pm
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    6:32 very_bad.cpp

    Reply
  • November 5, 2019 at 8:21 pm
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    How do we hack it?

    Reply
  • November 5, 2019 at 8:53 pm
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    I feel like the first real step into understanding the brain, we would have to cross some ethical boundaries. I believe that if we could set humans up like the Allegory of the Cave, we would eliminate a lot of factors and quickly find out how the brain works, but that would be….unethical.

    An example would be putting brain equipment on a newborn locked inside of a room and do some scientific methods on how the brain works, while the baby grows up into adulthood still in the room for the rest of its life.

    Reply
  • November 5, 2019 at 9:45 pm
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    Human beings will never be able to do so, why are we trying lol

    Reply
  • November 6, 2019 at 12:22 am
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    How about building my brain like a computer:3

    Reply
  • November 6, 2019 at 1:33 am
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    Evolution is absolutely amazing…

    Reply
  • November 6, 2019 at 3:52 am
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    Brain is beyond evolution ,imagination, time space,and the universes it self,
    Beyond even the realms of physics and reality of a living life.

    Reply

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