This guy is a genius. He knows physics, chemistry, computing, engineering, maths...and not at a general introductory level but at an advance research level
Best of all is that he is fun to watch and to listen too. Many professors fail for being so boring and students lose interest and then don't do so well. That tells you that most of the time, lucky students who can have a professor like this will fair better in life.
Bit of a necropost, but yeah. You usually get lecturers who are either experts or good lecturers, but genuine polymath experts who are also great speakers are rare.
Amazing lecture! That's how you teach and propel the word of science, by making it fun and easy to understand using demonstrations! A big congratulations to the Prof. Bishop and the team behind him who put this entire work of art together!
Great lecture and contribution to the public. Get our generations minds thinking on future advancements in technology and science. Congrats on the award Chris- Cheers! Adam from the United States
Prof. Bishop makes perfect lectures on these filmed occasions. He's very knowledgeable in many fields yet very able to make them perfectly clear and understandable to great many people using simple yet scientifically correct wording. He's a bit of a pyromaniac, but that's quite enjoyable. Top class man. Thank you.
very interesting and informative, cant wait to be there in a few months time!! I wish there was another video explaining quantum entanglement related to computing, however the idea of the quantum coin to explain superposition was really clever and effective... great talk!
I am really fascinated by technology and the room for growth, change and expansion. I can only imagine what the world will be like in another few years.
It's about breaking the 1 (on) 0 (off) barrier aka bits. Current Digital computer are only able two logical empirical states. Thus restricting the the possibities of your data. Currently the only way to create multiple states (data points) is to use up a lot of Bits. Quantum computing is about having "bits" that it's self is complex and has many states. Different example a "bit" may be triangle, sqaure, circle as types of "bit". A single "bit" can now convey complex data.
This lecture was 12 years ago. 12 years ago face recognition, hand writing and speech recognition might've been hard. 12 years later computers can easily do all those things and more.
THE THING WAS STEERING BACKWARDS BECAUSE THE PROFESSOR TAUGHT IT BACKWARDS. THEY DIDNT MIRROR THE CAMERA SO IT TRANSLATED THE MOTION FOR THE FIRST PERSON VIEW BY SWAPPING RIGHT AND LEFT. STUPID MISTAKE.
It is not about 3 states instead of 2. It is from a swap from 2 possible states, to an infinite amount of states. By using a quantum computer a real number can be stored in a single "bit" with an very high accuracy. Where adding them is just adding the 2 "bits" together In the current system with ones and zeros this a real number (with decent accuracy) is stored in 32 bits. And adding them is quite challenging.
At about 32:07 he shows a video of the double slit experiment; it don't looks like a simple ideal representation, where can I find one of this? Have anyone a link to it?
in the first minutes, the example of cutting out the polo player, is that really an example of a computer which is learning? i think the next time he opens that program it will do exactly the same, missing his head and his feet. am i wrong, or does the program remembers that action?
machine learning is a vast field..and there are like a ton of different methods. depending on which was used, yes the program can indeed "remember" previous states and choices. For example, there might be some reward mechanism which re-inforces and discourages good/bad behavior, sort of like a very high-level feedback loop; so that when the computer missed out the head it would have got some feedback on it. But also looking at it from another view is that even if it does reproduce the same result next time, it has indeed LEARNT this behaviour. Like it has never before seen this odd image of a the man (with his distinct features) in that distinct pose playing polo. It would have been trained on some sample data/images and from that it has learnt or develop this behvaiour and thats why one can say its an example of machine learning.
Next big wealth development for investors: A file system that you just cannot kill, running distributed on Blockchain via direct device multi-linking, on a fast SSD SOC.
He should have said "more sub atomic particles than in the KNOWN universe. Just like a game of chess that has gone for 20 moves or more has more possible moves than there are sub atomic particles in the Known universe.
I don't think his estimate of multiplication speed is correct. A typical PC runs at a few GHz clock speed. It takes several cycles to perform a multiplication. Therefore you cannot perform thousands of multiplications per nanosecond.
Correct, but the real power of quantum computers is that they can do some task (let's say add one) to all the numbers they are storing, at the exact same time, instead of one at a time, like a traditional (non-parallel) computer.
It speeds up computing exponentially. So the more quantum bits you make the faster it is. If they manage to make a quantum computer with considerable amount of bits, it can increase current computing power to the millions, billions, trillions. Thankfully its not similar to antimatter that is amazing in theory but very impractical.
Are we really making the world a better place with more powerful computers? It seems that as the more technology progresses, the further we get from what life is really about. Every problem resolved by technology seems to create 10 worse problems. Don't get me wrong, I enjoy modern life because of the machines that we have built, but at some point, we will forgot what it was like to be human. Perhaps we are destined to create a massive thinking,self replicating organism that will travel the cosmos for eons long after out own solar system has been extinguished.
Now we have a lot faster computers than one that took us to the moon. What we do with them? How can we use them? Where can we use a lot of computing power? This is no "complain" comment. I just want to know what you think.
Powerful computers are useful in many places. One use for them is in science, simulations and calculations. You build a model of your understanding how something works. For example the atmosphere. Then you can simulate that model with a supercomputer. Normal computers are relatively slow in a serious simulation use, this is for what they now use supercomputers. But they are very expensive. Simulation is also already now used widely in the industry, engineering industry and medical industry. For example if you are designing a new car, you can simulate it's crash tests on a computer, and save massive amount of money when you don't have to do so much real life testing, same time gaining more information that what you are able to gather with manual methods. Computer for this reason is already now, very important tool in industry. You can use it to solve mathematical problems. And those solutions to basic problems can be used to create new innovations, new machines, gather more understanding of physics, more understanding of how something functions. Computer vision can be done on controversial computers, but they are still quite inefficient at it. How much electricity did you use to detect something simple from the image. Compare that to the fact that human brain does it with a few watts of power only. Developing the software for it is also a massive challenge. Human brain is inefficient in calculating numbers, but in other kind of information processing it is very capable. Reason lies in the evolution, human brain wasn't designed to calculate numbers. So how I see it, is that more powerful computers will accelerate the development of science and new innovations. They may help us to solve the energy problems, get rid of fossil fuels, they may help to figure out how to create a functioning fusion energy reactor. :)
You are watching a lecture at a Scottish university recorded five years ago. Discussing with people from around the world. Thats one way to use allot of computerpower.
Nah, you are lucky. In the future, virtual reality will be so amazing that people won't have any lives anymore. They would be even better than life and even feel better than actual life.
15:25 He's wrong, Moore's Law dictates a constant growth rate. Computers are getting faster exponentially, but the growth rate itself does not increase at all.
You are probably talking about a straight line that has a constant slope, but note that's under log scale for Moore's law. If you take a derivative of exp(x), which is the growth rate, it's still exp(x), Yes, the growth rate is also growing!
@@williamzheng5918 No, the growth rate is constant, it has even been adjusted downwards since the first version of his law. When the amount of transistors doubles every 18 months or so, that's a constant growth rate.
@@ArumesYT Let me use a simple example to make it easier to see. Constant growth rate: 0 month: 2, 18 month: 3, 36 month: 4, 48 month: 5; Now Moore's law type of growth: 0 month: 2, 18 month: 4, 36 month: 8, 48 month: 16, etc. You see that "double" is not a constant growth, it depends on the value before doubling.
@@user-mp7bp2dn2d понимаете, а эти две темы к сожалению связаны. Чтобы "гребаная война" поскорее закончилась, нужно чтобы один плешивый карлик помер. Говорят у него рак. Если будет создано 100% лекарство от рака, то этот гадёныш будет жить ещё долго. Так что пусть сначала он склеит ласты... А вот на следующий день после этого праздничного события пусть появится на свет это волшебное лекарство!
Hello Chris, if you want to give an overview in chemistry and physics, there's nothing wrong with it. But if this is done under false pretences of a lecture title like: The future of the computer, made just to attract a large audience, you've gambled away your creditworthiness.
