Here is the full transcript of scientist George Tulevski’s TED Talk: The Next Step in Nanotechnology.
Listen to the MP3 Audio: The next step in nanotechnology by George Tulevski
George Tulevski – Scientist at IBM Research
Let’s imagine a sculptor building a statue, just chipping away with his chisel. Michelangelo had this elegant way of describing it when he said, “Every block of stone has a statue inside of it, and it’s the task of the sculptor to discover it.”
But what if he worked in the opposite direction? Not from a solid block of stone, but from a pile of dust, somehow gluing millions of these particles together to form a statue. I know that’s an absurd notion. It’s probably impossible. The only way you get a statue from a pile of dust is if the statue built itself — if somehow we could compel millions of these particles to come together to form the statue.
Now, as odd as that sounds, that is almost exactly the problem I work on in my lab. I don’t build with stone, I build with nanomaterials. They’re these just impossibly small, fascinating little objects. They’re so small that if this controller was a nanoparticle, a human hair would be the size of this entire room. And they’re at the heart of a field we call nanotechnology, which I’m sure we’ve all heard about, and we’ve all heard how it is going to change everything.
When I was a graduate student, it was one of the most exciting times to be working in nanotechnology. There were scientific breakthroughs happening all the time. The conferences were buzzing, there was tons of money pouring in from funding agencies. And the reason is when objects get really small, they’re governed by a different set of physics that govern ordinary objects, like the ones we interact with. We call this physics quantum mechanics.
And what it tells you is that you can precisely tune their behavior just by making seemingly small changes to them, like adding or removing a handful of atoms, or twisting the material.
It’s like this ultimate toolkit. You really felt empowered; you felt like you could make anything. And we were doing it — and by we I mean my whole generation of graduate students. We were trying to make blazing fast computers using nanomaterials. We were constructing quantum dots that could one day go in your body and find and fight disease.
There were even groups trying to make an elevator to space using carbon nanotubes. You can look that up, that’s true. Anyways, we thought it was going to affect all parts of science and technology, from computing to medicine. And I have to admit, I drank all of the Kool-Aid. I mean, every last drop.
But that was 15 years ago, and — fantastic science was done, really important work. We’ve learned a lot. We were never able to translate that science into new technologies — into technologies that could actually impact people. And the reason is, these nanomaterials — they’re like a double-edged sword. The same thing that makes them so interesting — their small size — also makes them impossible to work with.
It’s literally like trying to build a statue out of a pile of dust. And we just don’t have the tools that are small enough to work with them. But even if we did, it wouldn’t really matter, because we couldn’t one by one place millions of particles together to build a technology.
So because of that, all of the promise and all of the excitement has remained just that: promise and excitement. We don’t have any disease-fighting nanobots, there’s no elevators to space, and the thing that I’m most interested in, no new types of computing.
Now that last one, that’s a really important one. We just have come to expect the pace of computing advancements to go on indefinitely. We’ve built entire economies on this idea. And this pace exists because of our ability to pack more and more devices onto a computer chip. And as those devices get smaller, they get faster, they consume less power and they get cheaper.
And it’s this convergence that gives us this incredible pace. As an example: if I took the room-sized computer that sent three men to the moon and back and somehow compressed it — compressed the world’s greatest computer of its day, so it was the same size as your smartphone — your actual smartphone, that thing you spent 300 bucks on and just toss out every two years, would blow this thing away.
You would not be impressed. It couldn’t do anything that your smartphone does. It would be slow, you couldn’t put any of your stuff on it, you could possibly get through the first two minutes of a “Walking Dead” episode if you’re lucky — The point is the progress — it’s not gradual.
The progress is relentless. It’s exponential. It compounds on itself year after year, to the point where if you compare a technology from one generation to the next, they’re almost unrecognizable. And we owe it to ourselves to keep this progress going. We want to say the same thing 10, 20, 30 years from now: look what we’ve done over the last 30 years.
Yet we know this progress may not last forever. In fact, the party’s kind of winding down. It’s like “last call for alcohol,” right? If you look under the covers, by many metrics like speed and performance, the progress has already slowed to a halt.
So if we want to keep this party going, we have to do what we’ve always been able to do, and that is to innovate. So our group’s role and our group’s mission is to innovate by employing carbon nanotubes, because we think that they can provide a path to continue this pace.
They are just like they sound. They’re tiny, hollow tubes of carbon atoms, and their nanoscale size, that small size, gives rise to these just outstanding electronic properties. And the science tells us if we could employ them in computing, we could see up to a ten times improvement in performance. It’s like skipping through several technology generations in just one step. So there we have it.
We have this really important problem and we have what is basically the ideal solution. The science is screaming at us, “This is what you should be doing to solve your problem.” So, all right, let’s get started, let’s do this. But you just run right back into that double-edged sword. This “ideal solution” contains a material that’s impossible to work with.
I’d have to arrange billions of them just to make one single computer chip. It’s that same conundrum, it’s like this undying problem. At this point, we said, “Let’s just stop. Let’s not go down that same road. Let’s just figure out what’s missing. What are we not dealing with? What are we not doing that needs to be done?”