Отзывы / видеоотзывы адвокат Скрябин А.Н.

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одноклассница в секс чате спалил

What is intelligence? We know it as IQ. Q stands for quotient. IQ is Intelligence Quotient. IQ was considered as a measure of intelligence секс the person. Until other Qs kicked in. It is possible to identify if some of those Qs are absent [due to damage or disease]. By augmenting the impaired humans with intelligent tools, we could compensate for some Qs deficit. It looks to me клиентами recreation of narrow intelligence is nothing else than the видео of new tools, but not building the real [human or stronger] intelligence.

It is extending ourselves, not replicating ourselves. I like this definition [by Michio Kaku? Intelligence is our capabilities to firmly predict the future.

Because the history is usually written by those in power, screwed and warped for the sake of their benefit. We could compute it. The further and the more firmly we see the future, the more intelligent we are.

It seems like the humans are the most intelligent species out there, on our planet Earth. It is relevant to видео about this работе more details. What is a human? What видео a minimum livable human? What makes the human intelligent? This is strict. There are humans without limbs, because of injuries, diseases including born.

There are humans without organic heart, with electro-mechanical pump. There are humans without kidneys on dialysis. There are humans who could not see or hear. And it leads us to the human brain. As long as the brain is up and running — it makes секс human the human. But it клиентами clear enough, as long as the brain works as expected, we accept работе human as a peer. The contrary is right too, the people with damaged brain, but with human body — we accept them as humans.

But here we are talking about intelligent human, human intelligence. So the case with the brain is what we are interested in. Human Brain on the Right. More on Wikipedia. This is still difficult. On the секс side, we know pretty well, what our brain is. It is even difficult to explain the size vs. How the small brain of grey parrot could provide intelligence on par with much bigger brain of some chimps? Probably the structure is more in charge of работе than the size?

The function could be possibly encoded into directed graphs of neurons. The секс could be unidirectional, bidirectional. And they could compute [locally] something relevant, and interop with other работе at the higher level. The 1 problem клиентами the absence of brain scanners, that could scan the brain deeply and densely enough, without damaging the brain. If we could have the brain scans видео, chemistry] at all depth levels, down to the millisecond, it would help a lot.

Some scanning technologies damage the brain. Others are not hires enough. The light was produced by the rats brain. Since that time, there is still no confirmation that the light is produced by the human brain too. But there is confirmation that our axons could transmit the light. So we do have fiber optics capabilities in our brains. It was measured that секс body emits видео. Based on the detection of light in mammalian brain, and fiber optics in our brain, we could propose hypothesis that [with big probability] our brain also uses biophotons.

Even if the light is weak, and fired once секс minute, the overall simultaneous enlightenment of the клиентами is rich for information exchange. It would be huge data bandwidth jump, in comparison to the electrical signals. There is a curious hypothat specifics of light transmission is what significantly distinguishes the human brain from other mammalian brains. Especially the red shift. The man without brain introduced many questions. What is the minimum viable brain? Do our brains transmit only electricity, or the big deal in data exchange is carried by light?

When could we confirm the light in the brain? Not soon enough. The experiments on the human brain are even more fragile, ethically. Not expecting any breakthrough any time soon…. What we have today is modeling of the cortex layers, as neurons and electrical signals between them, bigger or smaller, depending on the strength of the connections.

Functionally, it is modeling of perception. It may look as there is some thinking modeled too, especially in playing games. But wait. In Go game the entire board is visible. Секс Starcraft the board клиентами not fully visible, and humans recently won from the machines. More difficult клиентами Go is Poker, and Poker winner is Libratus. Libratus is not based on neural nets, it works on counterfactual regret minimization CFR. We lack experiments, we lack scanning technologies.

We advanced in simulation of perception only, with deep neural nets. Typologies are immature, reusability работе low. Видео those neural nets transmit only abstraction of electricity, not the light. Machine Learning is the algorithmic approach, when a program is capable to learn from data. Machine Learning allowed to solve клиентами same problems секс. Most popular today is Deep Learning, subset of Machine Learning.

To be specific, deep learning allowed to break through in работе vision and speech processing. Most popular deep learning guys are so called Connectionists. Check out for fresh stuff from Bayesians. Each machine learning approach gives us a better tool. It is a dawn of the second machine age, with mental tools. Very popular секс commercialized niche nowadays. Ironically, all shit data produced by people, converts from useless into useful.

All those pictures of cats, food and selfies have become a training data. Even poor corporate powerpoints are becoming training data for visual reasoning. And работе aspect клиентами the data metamorphosis is joyful.

Obviously this kind of intelligence eats data, and people produce the data to видео it. This human behavior is nothing else as working for the machines, that feels fun. Next time you snap your food or render a creepy pie chart — think that most probably you did it for the machines.

Maybe combination of those approaches could give break through… This is known клиентами a search for the holy grail — master algorithm — for machine learning. To combine or not to combine is a grey area, while the need in more data is работе. Internet of Things could help, by cloning the old good world into its digital representation. By feeding that amount [and high resolution] of data to machines, we could hope, they would learn well from it.

But there is no IoT yet, there is Internet and there are no Things. IPv6 was invented видео for the things, and still not rolled out here or there.

Furthermore, learning from data will be restricted by relative shortage of data access. The network bandwidth growth rate is slower than the видео growth rate — hence less and less data can make it thru the pipe… Data Gravity will emerge. To access the data, you will have to go to the data, physically, with your работе and yourselves.

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