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How can computers take over

It is the subject that several knaldromaner and, not least, the Hollywood movies are made of. An advanced computer built into a human form and taking over the world around the android.

But there is still a very long way from the silver screen to reality, if you ask one of the danes, who have dealt most with the artificial intelligence or simply AI.

- now Let us say that we stand together on a running track, and watching two different teams, " explains Jacob Knobel from AI the company Datapult.

- one composed of young men running 100 metres in around 10 seconds. The second is the middle-aged women, who perhaps runs the same distance in 30 seconds. The question now is how a team that age is in the middle between the two groups, so performing?

Such a task will artificial intelligence be able to solve, he believes.

- the Answer we know that people good enough is somewhere around 20 seconds.

- But in principle it is also what artificial intelligence is when the computer make some assessments from the previous observations, as it has been.

Far behind

According to Jacob Knobel is lagging far behind when it comes to make money on and get a competitive advantage out of artificial intelligence.

- Google, Facebook and Amazon are big in this area. They are years ahead of us in Europe, he explains.

- the Problem is that you need training data in order to make the artificial intelligence smarter. But if you take a typical production company in Denmark, so stores they often do not data and the intermediate result. It is dataskrald, which just gets thrown out.

- We are behind?

- Absolutely. Roughly speaking, we now use artificial intelligence in Europe to cleanse the data, because we do not have enough data. But to use AI for the growth is primarily reserved for the UNITED states and China.

by Contrast, there is more to rejoice about when it comes to the ability to research the technology.

- We see some very nice results in research at universities in denmark, which matches what you look for example, Israel and the UNITED states.

- Why is that?

- We have a tradition of being good at computer science. And in Denmark we have a few lighthouses in the universities, who continue to work as professors there.

- Typically ends up the kind of talented researchers, for example, in the UNITED states with private companies such as Google and Facebook.

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According to Jacob Knobel is the new about artificial intelligence, the technology can handle more than numbers.

- You can use the AI at pictures of fish, images on a text or to assess the faces of the people.

- But the best idea we have not found yet.

One of the tasks, as Jacob Knobel has developed AI to solve, is to discover the fish in hydroelectric power plants. Or to analyze satellite imagery to spot the houses with solar panels on the roof.

the Article continues under the picture...

the 29-year-old Jacob Knobel is despite his young age, very knowledgeable about AI-technology. Pr photo

in the back of Jacob Knobel

despite his just 29 years old an experienced entrepreneur.

his first millionsucces with his colleague Anders Elley, as they built up and later sold the company Densou Trading Desk, who are experts in the use of large amounts of data to target ads on the web.

targeted with artificial intelligence in his consulting firm Datapult, where he in cooperation with, among others, chinese Huawei is developing AI solutions to european companies.

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- so What is the most important, when developing the AI: hardware or software?

- It is a kanongodt question, it sounds from Jacob Knobel, who has a close cooperation with the chinese Huawei on the use of their hardware to his AI software.

- In 2012, it was found that one could use the more powerful and more powerful hardware to make the smart calculations.

- Since there has been a development in the field of hardware, but now it is very much about the software. And it will probably do it next long period of time.

According to the young AI-an entrepreneur is the blazing fast hardware, and how to use it most optimally, already in place.

- Now, it must be converted into the right software and be built in with the companies.

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There is an ethical trap

Where goes the limit for what you can and must use artificial intelligence to? The question is important, for if the technology gets free game, it can harm society seriously.

- instead of saying that artificial intelligence must check in all the public systems – which is somewhat foolhardy – should look more targeted at areas where there is no personal data in the first, considers Jacob Knobel.

- For example, to use the AI to count the salmon or find the sunroof and wind turbines from the room. It is a good place to gather forces.

- What is the great ethical challenge of using AI on the management of the case in, for example, the health system or with the police?

- that I can beat a person up and recognize him, I must have a database.

- All persons in the database is therefore technically suspect. It is quite the opposite of what we are used to, where you are innocent and only comes in the database, when the opposite is proven. On the other way, we are all guilty, until the system says the opposite.

Also in the health care system, there are some ethical issues in technology, he believes.

- If you could choose between a radiologist, there are 60 percent confident in his assessment and speak with you, or a system that is 100 percent secure, but you can't have a dialogue with – what do you choose then?

- When I hold lectures on AI, depends on the answers from the audience very much of their age. The younger is more willing to let the machine control, than older people, who would rather have a human being to interpret and evaluate the results.

Whatever the answer, society must think very well before you go in time, he believes.

- It can be a slippery slope, because you suddenly get used to the systems to control it all. And so we are perhaps in a place we don't want to be, but also can not roll back.

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