12/07/2020

Headline, December 08 2020/ ''' '' RESEARCHERS !WOW! *RESONATING '' ''' : TECHNOLOGY


''' '' RESEARCHERS !WOW!

 *RESONATING '' ''' : TECHNOLOGY



STRATEGIC INNOVATION IMPERATIVE : '' Rabo - Dee - Shazaib,- Haleema - Sahar- Saima, Vishnu- Hussain- Salar- Jordan- Zaeem '' : do you all know......

Do you all know that what you truly need to figure is the ''convolutional neural network'' it is FREELY  available. And if you attempt and master that, it should completely and comprehensively cater to all The World Students Society's needs, right on the blogspot.

!DIGGING DEEP! : A CONVOLUTIONAL NEURAL NETWORK - OR C.N.N. is a type of artificial intelligence designed to analyze information that can be processed as a grid; it is especially well-suited to analyzing photographs and other images.

Creating the network was simple, Dr. Crespo said. He set it up in less than a month using the programming language PYTHON and at no cost.

FINDING THE TOMB OF AN ANCIENT KING - full of golden artifacts, weapons and elaborate clothing, seems like any archaeologist's fantasy. But searching for it, Gino Casperi can tell you, is incredibly tedious.

Dr Caspari, a research archeologist with Swiss National Science Foundation, studies ancient Scythians, a nomadic culture whose horse-riding warriors terrorized the plains of Asia 3,000 years ago. The tombs of Scythian royalty contained much of the fabulous wealth they had looted from their neighbors.

From the moment the bodies were interred, these tombs were popular targets for robbers.; Dr. Caspari estimates that more than 90 percent of them have been destroyed.

He suspects that thousands of tombs are spread across the Eurasian steppes, which extend for millions of square miles. He has spent hours mapping burials using  Google Earth images of territory in what is now Russia, Mongolia and Xinjiang province in western China. ''It's essentially a stupid task,'' Dr. Caspari said. ''And that's not what a well-educated scholar should be doing.

A neighbor of Dr. Caspari's in the International House, in the Morningside Heights neighborhood of Manhattan, had a solution.

The neighbor, Pablo Crespo, at the time a graduate student in economics at City University of New York who was working with artificial intelligence to estimate volatility in commodity prices, told Dr. Caspari that what he needed was a convolutional neural network to search the satellite images for him. They began a collaboration that put them at the forefront of a new type of archaeological analysis.

C.N.N. sees an image as a grid of pixels. The C.N.N. that Dr. Crespo designed starts by giving each pixel a rating based on how red it is, then another for green and another for blue.

After rating each pixel according to a variety of additional parameters, the network begins to analyze small groups of pixels, then successively larger ones, looking for matches or near-matches with the data it has been trained to spot.

Working in their spare time, the two researchers ran 1,212 satellite images through the network for months, asking it to look for circular stone tombs and to overlook other, tomblike things such as piles of construction debris and irrigation ponds.

Shawn Graham, a professor of digital humanities at Carleton University in Ottawa, uses a convolutional neural network called Inception 3.0 designed by Google, to search the Internet for images related to the buying and selling human bones.

The United States and many other countries have laws requiring that human bones held in museum collection be returned to their descendants. But there are also bones being held by people who have skirted these laws.

He made some alterations to Inception 3.0 so that it could recognize photographs of human bones. He is now working with a group called Countering Crime Online, which is using neural networks to identify images related to the illegal ivory trade and sex trafficking.

Dr. Crespo and Dr. Caspari said that the social sciences and humanities could benefit by incorporating the tools of information technology into their work. Their convolutional neural network was easy to use and freely available to anyone for modification to suit their own research needs.

In the end, they said scientific advance comes down to two things. ''Innovation really happens at the intersections of established fields,'' Dr. Caspari said. ''Have a drink with your neighbor every once in a while.''

The Honor and Serving of the Latest Global Operational Research on IT and Tools for social sciences and humanities continues. The World Students Society thanks author Zach Zorich.

With respectful dedication to the Students, Professors and Teachers of the world. See Ya all prepare and register for Great Global Elections on The World Students Society : wssciw.blogspot.com  and Twitter - !E-WOW! - The Ecosystem 2011 :

''' Deep - Dire '''

Good Night and God Bless

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