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Showing posts from March, 2022

The Javelin is one of the deadliest missiles in the world.

  Image: FGM-148 Javelin (Wikipedia/FGM-148 Javelin) The Javelin missile is one of the most powerful, man-portable fire-and-forget anti-tank missiles in the world. That missile is proven it's capacity at least in Ukraine.  The missile has been a deadly surprise for tanks in the Ukraine conflict. And that is forcing strategists to rethink the use of tanks on the battlefield. The Javelin-type missiles are always similar. The operator of that missile takes an image of the target. The control unit sends the image to the missile.  And then the missile will recognize the target. When the image that the camera on the nose of the missile matches with the image which is stored in the computer's memory. The idea for that system is taken from TERCOM-navigational systems where the cruise missile uses the aerial images for navigation to the target.  The missile knows, that it's on the right route. The same guidance system can use also in larger anti-tank and other precision-guided syste

The transforming network is the next-generation tool for artificial intelligence.

Convolutional algorithms are imitating life. Like living organisms connect genomes the convolutional algorithms connect their program code. Program code is the genome of the computer algorithm. And that makes the convolutional neural networks and algorithms interesting.  They are acting like living organisms. That means the convolutional computer programs are like virtual lifeforms where the organism is the computer code, that operates in the digital memory of the computer.  In mathematics, convolution is the operation that happens between two functions, and that operation forms a new function. In computer sciences and especially in programming convolution is the case. When neural networks, computer programs, or algorithms connect or change their code.  They form new neural networks, computer programs, or algorithms. The transforming networks are the most flexible versions of the convolution networks. The transforming method can use to interconnect two convolution networks.  In that me