Digital Tbucket Tank (DTT)

AI predicts crimes with 90 percent accuracy

An AI model has managed to correctly predict crimes in eight US cities a week before they occur with 90 percent accuracy, reports Ishanu Chattopadhyay of the University of Chicago, who and his team created a virtual "twin city" surveillance model using crime data in Chicago created from 2014 to late 2016.

The model, which has produced similar results in seven other cities, focuses on the types of crimes committed and where they were committed. Ninety percent of the predictions were accurate for geographic areas up to two-quarters in size, delineated by intersecting streets.

 Image source: Pixabay; Which

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Quantum memristor ushers in era of neuromorphic quantum architecture

Researchers from Austria and Italy have one "Quantum Memristor" that is capable of coherent quantum information in the form of a superposition of single photons. Such a device could form the basis of a quantum version of the neuromorphic architecture designed to mimic the way the human brain works.


The memristor is the fourth basic type of electronic component. We have known about the resistor, the capacitor and the inductor for a long time. In 1971, Professor Leon Chua of California hypothesized that there might be a fourth element that he memristor named. Such a device was developed almost 40 years later, in 2008. Memristors Quickly proved more useful than first thought, and two years ago they were used to build a device that functions similarly to a neuron. Research on this electronic element is ongoing and the latest development is its combination with quantum technology.


 Image source: Pixabay / Which

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Artificial intelligence helps to evaluate skin allergy tests

Polish scientists have SkinLogic-Solution developed that enables more efficient skin allergy testing and more reliable results. The method uses video and thermal imaging cameras and a system that analyzes the images down to the last pixel.

The authors of the described solution are specialists from the Faculty of Electronics and Information Technology of Warsaw University of Technology, the team of Professor Jacek Stępień (Milton Essex company) and the Military Medical Institute.

The clinical tests gave very good results. The system correctly identifies up to 98% of cases, even rare ones Allergies. In addition, it is with SkinLogic possible to detect lesions with a maximum diameter of 0,3 mm.

 Image source: Pixabay

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Artificial intelligence will examine the eyes and calculate the risk of a heart attack

At the University of Leeds a system with artificial intelligence (AI) that analyzes eye scans taken during routine visits to the optometrist or optometrist and identifies those who are at high risk of heart attack. The system analyzes changes in the miniature blood vessels of the retina, which we know to be on a broader cardiovascular problem . indicate

The Leeds specialists used deep learning techniques to train the AI ​​to automatically read the scans and identify the people most likely to have a heart attack within the next year.

The system that Nature Machine Intelligence is characterized by an accuracy of 70-80 percent and, according to the developers, could be used to diagnose Cardiovascular diseases .

 Image source: Pixabay / Which

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Artificial intelligence shows that we may not even know half of the structures in our body cells

Many of the diseases that affect us are related to cell malfunction. It might be possible to treat them more effectively, but first scientists need to understand exactly how cells are built and function. By combining artificial intelligence Using microscopic and biochemical techniques, scientists at the University of California, San Diego Medical School (UCSD) have made an important step in understanding the cells of the human body.


With Microscopes we can see cell structures as small as a single micrometer. In contrast, biochemical techniques that use individual proteins make it possible to study structures the size of nanometers, i.e. 1 / 1000th of a micrometer. However, a major problem in the life sciences is completing the knowledge of what is inside the cell between the micro and nanoscale. It has been found to help with this artificial intelligence is possible.

 Image source: Pixabay / Which

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Power Fx - Programming for Non-Programmers

Microsoft has the publication of PowerFX announced a new low-code programming language based on popular Excel formulas. The company puts the language under one Open source license available and hopes to help develop his Power platforms such as Power Automate or Power Virtual Agents and eventually become a standard for this type of application.

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Artificial intelligence improves viruses for gene therapy

Dependoviruses or parvoviruses "associated" with adenoviruses (AAVs) are very useful tools in the US Gene therapy. This is because they can transfer DNA into the cell and are harmless to humans. Therefore, they are used as carriers of the genetic information needed to fight diseases.

Image source: Pixabay

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Facebook AI accelerates MRI exams

Image reconstruction by artificial intelligence (AI) shortens the time of Magnetic resonance imaging examinations (MRI) significant.

https://healthcare-in-europe.com/

The first clinical study to compare AI-accelerated knee MRI scans with conventional scans shows that the AI ​​scans are not only diagnostically interchangeable with the conventional ones, but also provide higher quality images. The results of this interchangeability study are a key milestone in a joint initiative launched in 2018 by NYU Langone Health of New York City and the Facebook Artificial Intelligence Research (FAIR) group to accelerate the MRI scanning process.
The research was published in the American Journal of Roentgenology.

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