Skip to main content

Image recognition is the very interesting method to track the members of well-known families




Could Mona-Lisa portrait
the sister of Leonardo Da Vinci?

https://pimeakronikka.blogspot.fi/p/image-recognition-is-very-interesting.html

Kimmo Huosionmaa

Here I'm writing pure theoretical text, and I will not go out to track some members of Rockefeller family.  Here "well-known families" don't mean any Rockefellers. They can mean members of the famous painter's or inventors families. And if the skills to make paintings could be genetically hereditary, could those people be as good painters or inventors as their ancestors.  Image recognition is the very good method to one very interesting thing. That is select people for DNA test if they are suspected members of some well-known families.  When we would use the image recognition we can compare example the images of old paintings, and then photographs.


Those systems would give an answer, how many percent that computer found from some faces from old paintings and people, who are in some photographs. In theory, that system can use to track as an example the members of a family of Leonardo Da Vinci. If the faces of Da Vinci family portraits have the very high level of similarities between those images and some person, whose photograph is used in the comparison, this person would be the interesting target for IQ-test. But we don't know sure, have Leonardo painted a single painting about his family members. But sometimes I have thought that maybe Mona Lisa is a portrait of the sister of Leonardo Da Vinci.


And in that case, we might use Mona Lisa for making comparisons in those tests.  Those computerized compliment systems can track also members of some families, by using photographs. That system is not, of course, give absolute answers about hereditary membership of some family, but if we think about the genome investigations and similarities of faces of some families, that image recognition can help to find the people, who would be interesting deliverers for DNA samples.


The similarities between faces of some families have been forming the "trademark" of those families. One of them is the lower lip of Habsburg family. That kind of systems can also use to track the family members of some war criminals and misuse it is very dangerous. And also the use of image recognition for that purpose could be illegal. But there would be possible to find those persons by following their family members.

https://pimeakronikka.blogspot.fi/p/image-recognition-is-very-interesting.html

Comments

Popular posts from this blog

There is a suggestion that dark matter may have deformed another universe.

The researchers suggest that dark matter is the deformed dark universe. Or in the most exciting theories, dark matter is the dark universe inside our universe. In that theory dark matter is entangled with the visible material. That theory is taken from the multiverse theory. There our visible universe is one of many universes. The other universes can be invisible because their electrons and quarks are different sizes. And that thing makes those other universes invisible to us.  Another hypothesis is that the hypothetical other universes send radiation that radiation from our universe pushes away. Things like invisible 9th. planet causes ideas that maybe there is another universe in our universe. The thing that makes the mysterious dark matter interesting is that. The dark matter can form structures that can be similar to visible material. But those structures are not visible.  The multiverse theory is not new. The thing in that theory is that there are multiple universes at this moment

The neuroscientists get a new tool, the 1400 terabyte model of human brains.

"Six layers of excitatory neurons color-coded by depth. Credit: Google Research and Lichtman Lab" (SciteechDaily, Harvard and Google Neuroscience Breakthrough: Intricately Detailed 1,400 Terabyte 3D Brain Map) Harvard and Google created the first comprehensive model of human brains. The new computer model consists of 1400 terabytes of data. That thing would be the model. That consists comprehensive dataset about axons and their connections. And that model is the path to the new models or the human brain's digital twins.  The digital twin of human brains can mean the AI-based digital model. That consists of data about the blood vessels and neural connections. However, the more advanced models can simulate electric and chemical interactions in the human brain.  This project was impossible without AI. That can collect the dataset for that model. The human brain is one of the most complicated structures and interactions between neurotransmitters, axons, and the electrochemica

Nano-acoustic systems make new types of acoustic observation systems possible.

' Acoustic diamonds are a new tool in acoustics.  Another way to make very accurate soundwaves is to take a frame of 2D materials like graphene square there is a hole. And then electrons or laser beams can make that structure resonate. Another way is to use the electromagnetic field that resonates with the frame and turns electromagnetic energy into an oscillation in the frame.  Nano-acoustic systems can be the next tool for researching the human body. The new sound-wave-based systems make it possible to see individual cells. Those soundwave-based systems or nano-sonars are tools that can have bigger accuracy. Than ever before. The nano-sonar can use nanodiamonds or nanotubes as so-called nano-LRAD systems that send coherent sound waves to the target. In nanotube-based systems, the nanotube can be in the nanodiamond.  The term acoustic diamond means a diamond whose system oscillates. The system can create oscillation sending acoustic or electromagnetic waves to the diamond. Diamond