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Intelligent near-infrared vein scanner may make blood draws much easier

Intelligent near-infrared vein scanner may make blood draws much easier
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Vito Leli , Alexander Sarachakov , Dmitry Dylov , Oleg Rogov , Emily Henderson , Computational Imaging Group At Skoltech , International Conference On , International Conference , Associate Professor , Data Intensive Science , Computational Imaging Group , Skoltech Phd , எமிலி ஹென்டர்சன் , சர்வதேச மாநாடு ஆன் , சர்வதேச மாநாடு , இணை ப்ரொஃபெஸர் , தகவல்கள் தீவிர அறிவியல் ,

Manufacturing Bits: March 16

Manufacturing Bits: March 16
Tripping up neural networks
For years, Russia has been an active area in R&D.
In one example, Russia’s Skolkovo Institute of Science and Technology (Skoltech) has demonstrated how certain patterns can cause neural networks to make mistakes in recognizing images. Leveraging the theory behind this research, Skoltech can design defenses for pattern recognition systems that are vulnerable to attacks.
A subset of AI, machine learning is a technology that make use of a neural network in a system. In this system, the neural network crunches data and identify patterns. It then matches certain patterns and learns which of those attributes are important. ....

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Skoltech team shows how Turing-like patterns fool neural networks

E-Mail
Skoltech researchers were able to show that patterns that can cause neural networks to make mistakes in recognizing images are, in effect, akin to Turing patterns found all over the natural world. In the future, this result can be used to design defenses for pattern recognition systems currently vulnerable to attacks. The paper, available as an arXiv preprint, was presented at the 35th AAAI Conference on Artificial Intelligence (AAAI-21).
Deep neural networks, smart and adept at image recognition and classification as they already are, can still be vulnerable to what s called adversarial perturbations: small but peculiar details in an image that cause errors in neural network output. Some of them are universal: that is, they interfere with the neural network when placed on any input. ....

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African Centers of Excellence in Bioinformatics and Data-Intensive Sciences: Building The Technology Foundations For Global Growth

February 23, 2021

February 23, 2021 | Shortly after his appointment as the CIO for the National Institute of Allergy and Infectious Diseases (NIAID) in 2003, Mike Tartakovsky renamed the NIAID Office of Technology and Information Systems. Rechristened the NIAID Office of Cyberinfrastructure and Computational Biology (OCICB), the name change reflects the realization that information technology has become a fundamental research tool for the biomedical research community. As he put it in a conversation with
Bio-IT World earlier this year: There are no non-computational disciplines left.
NIAID was doing its part to share that message by training collaborators and sponsored researchers in Africa, India, and around the globe in advanced bioinformatics. But, Tartakovsky remembered, the institute was missing the mark. ....

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Skoltech's recent achievement takes us one step closer to Mars

Credit: Skoltech
Scientists from the Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) and the Skoltech Digital Agriculture Laboratory and their collaborators from the German Aerospace Center (DLR) have developed an artificial intelligence (AI) system that enables processing images from autonomous greenhouses, monitoring plant growth and automating the cultivation process. Their research was published in the journal
IEEE Sensors.
Modern technology has long become a fixture in all spheres of human life on Earth. Reaching out to other planets is a new challenge for humankind. Since greenhouses are likely to be the only source of fresh food for Mars space crews and settlers, development of artificial intelligence (AI) and computer vision based technologies for plant growth automation is perceived as a priority research target. A test site is already in place for developing and testing advanced life support systems: an autonomous plant ....

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