Browse content similar to 05/12/2015. Check below for episodes and series from the same categories and more!
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He also convinced his daughter that she'd explode if she left the house. | :00:00. | :00:00. | |
This week, big data in the sky, on the walls, even on your butt. Hey, | :00:00. | :00:24. | |
Lewington, get off your butt! There are a few things I love more | :00:25. | :00:48. | |
than Computex eight made beautiful. -- macro -- compter data. It is even | :00:49. | :00:55. | |
better when he can throw it up onto a circular walk and then access it | :00:56. | :01:04. | |
all from your evil genius' chair. First I will destroy the earth! Then | :01:05. | :01:11. | |
the solar system! And, finally, the entire galaxy! Apart from Elvis. | :01:12. | :01:29. | |
This is the data observatory, at London's imperial college, from | :01:30. | :01:32. | |
where you can observe any data you want. That's where we are right now. | :01:33. | :01:40. | |
Today, this professor is using it to show me financial transactions, | :01:41. | :01:44. | |
specifically all of those being made right now using the digital currency | :01:45. | :01:51. | |
bitcoin. These are where the bitcoin transactions are happening around | :01:52. | :01:54. | |
the world right now and here we can see the individual transactions as | :01:55. | :02:00. | |
they happen. What's going on? This is somebody who is hoovering up lots | :02:01. | :02:05. | |
of little amount of bitcoin from their wallet and using it to make | :02:06. | :02:10. | |
payments. So they are just going down the back of the sofa? That's | :02:11. | :02:16. | |
right. Maximum vacuuming happening here. A lot of change down the back | :02:17. | :02:21. | |
of the sofa. And a lot of activity is happening in China, but we can't | :02:22. | :02:25. | |
see it because it is behind the great firewall of China. Unusual | :02:26. | :02:30. | |
transactions look even more lovely. In fact, this malicious activity | :02:31. | :02:35. | |
looks a bit like a parasitic worm, which I guess is what it is. There's | :02:36. | :02:40. | |
also beauty in how the bitcoin currency works and how transactions | :02:41. | :02:44. | |
are recorded. Just like a bank will keep a record of the movement of | :02:45. | :02:49. | |
money, something called a ledger, there is a record of all the bitcoin | :02:50. | :02:53. | |
transactions that have been made. It's a massive file called the block | :02:54. | :03:00. | |
chain. And the brilliant thing about it is it can't be tampered with. You | :03:01. | :03:04. | |
can't fake an entry, delete a payment or create new fake coins. | :03:05. | :03:10. | |
That's because copies of it are stored on thousands of computers | :03:11. | :03:14. | |
across the globe. You can't alter the record of events unless you can | :03:15. | :03:19. | |
somehow tamper with each copy of the file on the majority of these | :03:20. | :03:22. | |
machines. Let's face it, realistically you can't. I about to | :03:23. | :03:29. | |
make a bitcoin payment on this phone and you will see that transaction | :03:30. | :03:33. | |
entered the bitcoin network. Here we go. Sending payment. There it is! | :03:34. | :03:39. | |
There's my payment. It is now in the network waiting to be verified. | :03:40. | :03:43. | |
Already, all of these computers around the world know about that | :03:44. | :03:46. | |
transaction entered a few minutes' time one of their will verify it. -- | :03:47. | :03:53. | |
and in a few minutes'. And there will be a permanent record of my | :03:54. | :03:56. | |
transaction that in theory cannot ever be tampered with or undone. But | :03:57. | :04:02. | |
the block chain method is more than just a way of keeping big queen | :04:03. | :04:07. | |
records. The idea of a tamper-proof ledger stored on many machines is | :04:08. | :04:11. | |
being taken seriously as a way to keep a record of all sorts of | :04:12. | :04:16. | |
transactions. We have been to meet a view block chain entrepreneurs. -- a | :04:17. | :04:21. | |
few. I think the block chain to me is all | :04:22. | :04:32. | |
about efficiency. What's cool about a block chain is that it is software | :04:33. | :04:37. | |
that operates autonomously. Much like in a music is this, like the | :04:38. | :04:44. | |
combination of the iPod and iTunes marketplace. We think it has the | :04:45. | :04:49. | |
potential to be that disruptive. It is a piece of technology that you | :04:50. | :04:54. | |
can facilitate and trust amongst individuals, governments, | :04:55. | :04:59. | |
enterprises and business. We are in the city of London at the theory and | :05:00. | :05:06. | |
developer conference. 300 or so people have paid ?750 each to be | :05:07. | :05:10. | |
here for the week to learn more about the block chain. They're | :05:11. | :05:19. | |
calling it web 3.0 and they say this is the weight the incident was meant | :05:20. | :05:23. | |
to be, not run by anybody but sort of run by everybody, because no one | :05:24. | :05:28. | |
person control it. The reason why so many people I hear is because they | :05:29. | :05:33. | |
think it could dramatically improve how markets work. -- are here. Right | :05:34. | :05:37. | |
now if you want to sell your house it requires a lot of paperwork and | :05:38. | :05:42. | |
legal agreements, solicitors, and it can be slow and expensive. The idea | :05:43. | :05:46. | |
is that this could be done as a digital transaction that recognised | :05:47. | :05:51. | |
on the block chain by faster and secured without third party is | :05:52. | :05:55. | |
getting involved. The possible implications of that, what you can | :05:56. | :06:02. | |
do with that, are almost too many to imagine. If you think about our | :06:03. | :06:07. | |
existing financial system, they're holding all this money and that is | :06:08. | :06:11. | |
then a lot of power and that's one of the really compelling things | :06:12. | :06:15. | |
about decentralisation. It doesn't have some person sitting in the | :06:16. | :06:20. | |
middle of it who can change the system if they want to. Bureaucracy | :06:21. | :06:24. | |
in general will start floating away as we get governments, | :06:25. | :06:28. | |
institutions, individuals, businesses and enterprises to be | :06:29. | :06:31. | |
able to trust and deal with each other as transparency and diesel -- | :06:32. | :06:35. | |
transparently and easily as we can send an e-mail to each other. A lot | :06:36. | :06:38. | |
of bureaucrats will be watching this, worried about their jobs! | :06:39. | :06:42. | |
Who is behind this is a technology? The inventor of it, on application | :06:43. | :06:48. | |
of the block chain, is this 21-year-old. In general, I think we | :06:49. | :07:00. | |
are seeing new technological eras that are as different from each | :07:01. | :07:03. | |
other as say the Bronze Age and the Iron Age, but we see them, but every | :07:04. | :07:07. | |
ten or 20 years. No single technology will bring about the | :07:08. | :07:14. | |
exact utopia for your political ideology but it does make | :07:15. | :07:21. | |
significant steps in that direction. By working together, we can create | :07:22. | :07:24. | |
systems that are much more reliable than any single one of us can ever | :07:25. | :07:29. | |
be. This is because the block chain is a distributed system which means | :07:30. | :07:33. | |
no one person is in charge of checking it. Every user effectively | :07:34. | :07:37. | |
has a copy of the data at a certain number of those users check the | :07:38. | :07:43. | |
transactions to make sure they all are accurate and fit together. It is | :07:44. | :07:48. | |
like a decentralised, distributed system, as a possible way of making | :07:49. | :07:53. | |
the internet more democratic. That kind of connection, you can change | :07:54. | :07:56. | |
technology that might change society, the benefits are clear to | :07:57. | :08:01. | |
the typical user and to the way the internet works. But it is certainly | :08:02. | :08:07. | |
not without its difficulties. Indeed, this kind of technology is a | :08:08. | :08:12. | |
double-edged sword. In a way it lacks a central point of control, | :08:13. | :08:16. | |
but that's also a problem. Imagine if somebody transferred ownership of | :08:17. | :08:20. | |
your car or your house to someone else in a malicious manner. How | :08:21. | :08:23. | |
would you get repossession of your house? There is no appeal body could | :08:24. | :08:30. | |
go to. Also, as the sophistication of this technology improves, people | :08:31. | :08:37. | |
will create viruses that will attempt to accumulate economic | :08:38. | :08:42. | |
wealth, in the same way as they currently try to write viruses to | :08:43. | :08:45. | |
steal your bank details and so on. Now it will steal your assets. | :08:46. | :08:56. | |
Hello and welcome to this week's at ology round-up. It was the week that | :08:57. | :09:04. | |
these children's company revealed its tech. Over 6.3 million | :09:05. | :09:10. | |
children's account up in composite -- the most as well as almost 5 | :09:11. | :09:14. | |
million parent accounts. The US, France and the UK were most | :09:15. | :09:18. | |
affected, as the names, addresses and pictures of users were stolen. | :09:19. | :09:22. | |
It was also the week that the internet sensation Psy released | :09:23. | :09:27. | |
another catchy, but incredibly creepy, music video. And supermodel | :09:28. | :09:36. | |
Kendall Jenner won Instagram. She posted the most likely to this year, | :09:37. | :09:41. | |
with 3.2 million likes. And big news for Facebook, as Mark Zuckerberg | :09:42. | :09:45. | |
announces he will give away 99% of his shares in the company. That's a | :09:46. | :09:49. | |
cool 45 million dollars. His shares are to fund an initiative run by him | :09:50. | :09:55. | |
and his wife, which basically aims to save the world. Q diseases and | :09:56. | :10:02. | |
equality. He also became a dad and shared it fire, you guessed it. And | :10:03. | :10:08. | |
it was also the week that NASA created a humanoid robot, which cut | :10:09. | :10:16. | |
serious shapes. Destined for Mars, it is being tested for all sorts of | :10:17. | :10:19. | |
movements which could contribute to its future intergalactic missions. | :10:20. | :10:24. | |
Not quite ready for a Strictly just yet. | :10:25. | :10:29. | |
By now you will know I am a bit of a weirdo when it comes to turning data | :10:30. | :10:36. | |
into pretty pictures. Yes, yes, it is. This is the new big bang data | :10:37. | :10:44. | |
show in London. Part celebration of and part warning about the amount of | :10:45. | :10:51. | |
data flying around the world, freely available to anyone looking. Here, | :10:52. | :10:56. | |
some of the public accessible selfies taken in London and here are | :10:57. | :11:00. | |
some of the masks designed to defeat facial recognition software, | :11:01. | :11:06. | |
although even I can tell this won't work. This is a wall of selective | :11:07. | :11:10. | |
tweets meet near Somerset House over the last few days. Wide-awake and | :11:11. | :11:18. | |
awaiting the postman. If ever I survive a nuclear war and there's no | :11:19. | :11:23. | |
internet or infrastructure, I would flee to Cambridge. I can't read that | :11:24. | :11:29. | |
one out. Think of it as a cross-section of London's thoughts. | :11:30. | :11:35. | |
The most relaxing peace to look out has to be this one. This, believe it | :11:36. | :11:42. | |
or not, is the stock market in Galaxy form. Every star is a | :11:43. | :11:49. | |
company, every flash is a trade in that company's stocks. When he just | :11:50. | :11:54. | |
to see a small flashlight that it is probably ?10 million changing hands. | :11:55. | :11:59. | |
Tell me about these weekly creatures crawling around. -- wriggly. Those | :12:00. | :12:09. | |
are artificial lifeforms that live in the sky with the stars and they | :12:10. | :12:12. | |
feed from the light generated by the trading. These creatures evolve over | :12:13. | :12:18. | |
the course of the exhibition, getting better at finding those | :12:19. | :12:20. | |
light sources and feeding off the brightest trades. So, it is just | :12:21. | :12:28. | |
before 2:30pm UK time, just before 9:30am New York time. Is that when | :12:29. | :12:33. | |
the stock exchange opens? Yes. You will see when the New York Stock | :12:34. | :12:37. | |
Exchange opens. You can't miss it. Just before it opens, the creatures | :12:38. | :12:40. | |
look as if they are getting excited. They do. Yes. Oh, wow! Ding aling, | :12:41. | :12:57. | |
ladies and gentlemen, New York is online. There has been a lot of | :12:58. | :13:03. | |
work, helping us to get clearance from individual stock exchanges | :13:04. | :13:07. | |
around the world to use this data. Because it is so valuable. It was | :13:08. | :13:13. | |
the sort of dotcom era when we started this. I was asked to go in | :13:14. | :13:20. | |
and fix it. I went into the Gallery and what had happened is because the | :13:21. | :13:24. | |
stars clustered together based on correlations between companies, the | :13:25. | :13:32. | |
market had collapsed and all the companies had dropped their prices | :13:33. | :13:35. | |
at the same time, which meant every star correlated with every other | :13:36. | :13:38. | |
star, so they all basically collapsed into a black hole. Oh my | :13:39. | :13:50. | |
goodness. You visualised the dotcom crash as a buy coal? As it happened. | :13:51. | :13:59. | |
How poetic! -- as a black hole. Next, we have been looking at other | :14:00. | :14:01. | |
ideas to help us relax. These days, we can suffer from data | :14:02. | :14:20. | |
overload and with so many of us living such busy lives with so much | :14:21. | :14:23. | |
going on around us and always being contactable on one of these, it is | :14:24. | :14:27. | |
not surprising that we can feel a bit stressed out. I'm looking at | :14:28. | :14:33. | |
technology that can track your tension and even relieve it. When | :14:34. | :14:42. | |
worn in the white position, this standard activity tracker can also | :14:43. | :14:48. | |
track your breathing and therefore monitor your stress levels. -- worn | :14:49. | :14:54. | |
in the right position. It's senses understand body activity and | :14:55. | :15:00. | |
breathing patterns. And then some clever algorithms identify your | :15:01. | :15:04. | |
moments of focus, calm and activity as well as any moments of tension. | :15:05. | :15:10. | |
As well as selecting daily targets, you can set alerts like a warning if | :15:11. | :15:14. | |
you have been tense for two minutes, and then the app has exercises to | :15:15. | :15:21. | |
help get you back on form. Exhale slowly and notice how it feels as | :15:22. | :15:25. | |
the air leaves your body. My only issue is that the device has just a | :15:26. | :15:29. | |
six hour memory so you have to keep connect it to your phone, unlike my | :15:30. | :15:38. | |
regular activity tracker, which I just sync when I feel like it. When | :15:39. | :15:43. | |
we start to feel pressure, our fingers become moist and that can -- | :15:44. | :15:48. | |
affects the ability for the skin to conduct electrical current. The Pip | :15:49. | :15:56. | |
is monitoring how that works. Each time you do it, you tried to improve | :15:57. | :16:04. | |
your score. 75% is quite good. It synchronises to various apps. One is | :16:05. | :16:09. | |
relax and race which is a game where the more relaxed you are the fastest | :16:10. | :16:14. | |
you move through it, so train yourself to become calmer on demand | :16:15. | :16:17. | |
and you can keep bettering your score. I'm not sure what your Dragon | :16:18. | :16:23. | |
is a very relaxing picture. Of course, I stress levels can | :16:24. | :16:26. | |
seriously impact Dzeko and mental health. -- high stress levels can | :16:27. | :16:33. | |
seriously impact physical and mental health. There is some irony in | :16:34. | :16:42. | |
technology coming to the rescue. Meditation apps have been around for | :16:43. | :16:47. | |
a while now and they teach the basics of meditation and mindfulness | :16:48. | :16:52. | |
in manageably short sessions. My first thought was that I didn't even | :16:53. | :16:58. | |
have time for that, which would have shown how much I needed it. Find a | :16:59. | :17:07. | |
quiet place to sit where you won't be disturbed. Yet all of this | :17:08. | :17:12. | |
tracking proved how calm I am. Of course this technology cannot take | :17:13. | :17:15. | |
away the pressures of modern life but it can encourage us to think | :17:16. | :17:18. | |
about how we feel so we can do something about it. Back at the | :17:19. | :17:31. | |
exhibition, a timely reminder of how the amount of data we are generating | :17:32. | :17:38. | |
has exploded and, counterintuitively, how little space | :17:39. | :17:44. | |
we now require to install it all. -- store. In the future, we may keep it | :17:45. | :17:54. | |
biologically. We already do. She has been working on this for a couple of | :17:55. | :17:59. | |
years. And she has taken the DNA from discarded cigarette butts and | :18:00. | :18:03. | |
chewing gum... Yes. She has been looking for traces of DNA on items | :18:04. | :18:06. | |
that have been left in public spaces. These things that she knows | :18:07. | :18:13. | |
are samples of this essential set of data that identifies us, like our | :18:14. | :18:21. | |
DNA. She has created faces from the DNA found on these things? Yes. Can | :18:22. | :18:29. | |
this possibly be anything like? They are things you can know like the | :18:30. | :18:34. | |
colour of the skin, the ethnic opposition of your background. But | :18:35. | :18:40. | |
you cannot know how pronounced your chin is, for example. Aspects that | :18:41. | :18:47. | |
are real and aspects that exist in potential space. But the most | :18:48. | :18:52. | |
interesting thing is that some of our most personal data, we are just | :18:53. | :18:58. | |
spreading it around. We are literally leaving it on the street. | :18:59. | :19:04. | |
So if you recognise yourself, you spat out some chewing gum on Wilson | :19:05. | :19:11. | |
and Stanhope in Brooklyn, New York. Is that if you, put it in the bin | :19:12. | :19:26. | |
next time. -- if. Headphones socket don't like fluff. This is a tip. | :19:27. | :19:42. | |
Insert and clean. That is better. This is the London situation room. | :19:43. | :19:48. | |
There are two works on here. This is London 2036. We will deal with that | :19:49. | :19:54. | |
in a moment. First, the work on these walls. This is some of the | :19:55. | :19:57. | |
data that London is generating right now from Twitter, Instagram and | :19:58. | :20:02. | |
transport for London. It looks very text heavy there but it is being | :20:03. | :20:08. | |
visualised on this wall here and this is the story of how it was | :20:09. | :20:14. | |
made. We are a data visualisation studio and we were approached for a | :20:15. | :20:19. | |
new commission for an exhibition they are doing. We were asked | :20:20. | :20:23. | |
specifically to investigate real-time data. Our aim is to | :20:24. | :20:31. | |
democratise data and make it accessible to everyone and we do | :20:32. | :20:36. | |
this in a visual way. We are looking at three different types of data, | :20:37. | :20:40. | |
three different sources. TFL, Instagram and Twitter. This is a | :20:41. | :20:47. | |
sweet. It is not just that which we share. Is quite small after all. It | :20:48. | :20:54. | |
is just one line. The rest is the metadata associated with the sweet. | :20:55. | :21:01. | |
Time, when it was created, latitude and longitude. Our main aim when we | :21:02. | :21:09. | |
create data is to communicate a story. That is generally true of | :21:10. | :21:17. | |
every data visualisation we create. Somehow they deeper purpose. This | :21:18. | :21:22. | |
piece looks at telling everyone across the exhibition what data is | :21:23. | :21:26. | |
and how it can be visualised to create a story. As soon as something | :21:27. | :21:36. | |
is posted, we analysed and we cross reference with a list of 2500 words | :21:37. | :21:42. | |
that have a score from -5 two positive five. The pink represents | :21:43. | :21:47. | |
positive words and cyan negative words. During a normal day, we will | :21:48. | :21:55. | |
get between 70000 and 80,000 tweets. You are never going to be | :21:56. | :22:01. | |
able to process as much information as I computer and visualise it, so | :22:02. | :22:06. | |
it gives you the key trends and patterns and gives you insight, | :22:07. | :22:10. | |
allowing you to investigate in a much more targeted way than you | :22:11. | :22:13. | |
would if you just had an Excel spreadsheet in front of you. That is | :22:14. | :22:19. | |
London today but what is London going to be like in 2036? That is | :22:20. | :22:25. | |
the question we are about to answer. Your challenge on this game | :22:26. | :22:28. | |
is to make a series of infrastructure changes based on the | :22:29. | :22:33. | |
evolving needs of the capital. But will you make the right decisions? | :22:34. | :22:41. | |
The game asks you to make choices about how London should develop. | :22:42. | :22:46. | |
What kind of transport will you prioritise, where will resources | :22:47. | :22:50. | |
like water and power come from for the city's growing population, and | :22:51. | :22:52. | |
more to the point, where will everyone live? In order to keep | :22:53. | :22:58. | |
services running, we need to invest in more self driving cars or more | :22:59. | :23:02. | |
cheap capacity. Self driving cars, I think. How important is it for | :23:03. | :23:07. | |
Londoners to have their own garden. Not at all. Concretely not. These | :23:08. | :23:17. | |
are the -- concrete the lot. These are the kinds of decisions that | :23:18. | :23:24. | |
politicians are making right now. How would you do the job. Available | :23:25. | :23:30. | |
housing has declined... The most popular job is marketing and PR. | :23:31. | :23:35. | |
Sorry, future London. I will have to have another go. Just before we | :23:36. | :23:40. | |
leave, one more example of the kind of data we are inadvertently giving | :23:41. | :23:43. | |
away two whoever might want to make use of it. Ladies and gentlemen, I | :23:44. | :23:57. | |
know where your cat lives .com. If you have uploaded a picture of your | :23:58. | :24:08. | |
cat and used a hashtag, #cat, you might be on this map. You have been | :24:09. | :24:12. | |
warned. Hello. Welcome to the weekend | :24:13. | :24:32. | |
but what a wild and windy start. | :24:33. | :24:36. |