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Search by tag «Neural Networks» 26 results
Statanly Technologies is a company specializing in machine learning algorithms and AI solutions for businesses. In this interview with ITMO.NEWS, the company’s CEO Sergey Fedorov shares his experiences of launching the company, bringing its first product to the market, switching to a new format, as well as discusses new developments and collaboration with Russian and European accelerators.
At the end of September, a team of ITMO University students took the grand prix of one of the largest hackathons in Russia. Today, they are working on an app for a major sports media outlet. ITMO.NEWS met the members to find out how a neural network can help you become a football ace and why they’re not hurrying to accept job offers from leading tech companies.
Alexander Mordvintsev, an ITMO University graduate and a researcher at Google, visited ITMO University’s National Center for Cognitive Technologies with a series of lectures on programming. In addition to analyzing real cases and providing valuable tips for young professionals, Alexander spoke to ITMO.NEWS about how he landed a job at the international corporation, switched from being a software engineer to a researcher, launched his project DeepDream, as well as what projects he is currently working on and why novice programmers should pay attention to modern chemistry and biology.
In 2007, the New York Times named Marin Soljačić as the author of one of that year’s top 70 “curious, inspired, and perplexing” inventions. The celebrated scientist, winner of numerous awards, and MIT professor is known to the world as, first and foremost, a researcher of wireless energy transfer technology. His experiments and studies on the subject are often compared to those of Nicola Tesla. In recent years, Prof. Soljačić has been exploring the applications of photonic crystals in solar energy production and the usage of machine learning algorithms in photonics. He presented a report on his latest research during the METANANO conference, which has recently concluded in St. Petersburg. In this interview with ITMO.NEWS, Marin Soljačić discusses the effects of the latest tech on research and explains why scientists must not limit themselves to a single field of study.
ITMO University developers Anton Belyy and Dmitry Nekrasov came up with a new system for evaluation of plagiarism detection algorithms. Using this system, one can understand what algorithms work best when ensuring text originality. The new system was experimentally tested, with the results of the experiments available on GitHub. In this interview with ITMO.NEWS, the developers share about their project.
How much of your personal data are you willing to share in order to enjoy various comforts? Can a neural network replace a living person? Can we cope with digital doubles? Questions posed by modern technology paint pictures that are either horrifying or inspiring, but always outlandish. Participants of the Future Culture Lab, held at ITMO University with support from the TECHNE art project and University NTI 20.35, tried to express their concerns and answer these questions through art projects that combined new technology and creative thought.
Master’s students from ITMO University have proposed the use of convolutional neural networks for automatic wheeze detection in lung sounds. The project called LungDiagnostics (Laeneco) concerns the development of an electronic stethoscope is used to detect and monitor wheezing. The results of the research have been published in an article in Lecture Notes in Computer Science, while the developers have been awarded a grant by the Foundation for Assistance to Small Innovative Enterprises in Science and Technology.
ITMO graduate Vitaly Sotnikov’s startup NativeOS provides a way to automate native video advertising. The algorithm chooses which videos to embed the client’s advertisements in so that they fit the needs of its viewers. NativeOS is currently preparing for a full-on launch on the US market. Vitaly Sotnikov came to his alma mater on business – and found time to talk to ITMO.NEWS about his project and how it works.
An international group of scientists which included researchers from ITMO University has developed an algorithm that can determine a person’s age, based on their nationality and sex, using an online blood test. Data from more than 120,000 people from Canada, South Korea, and Eastern Europe has been used to identify the key ageing indicators of these populations. Then, they taught neural networks to account for the relevance of particular indicators. This contributed to improving the technique’s precision: for now, the standard deviation is less than six years.
On November 11 to 14, the d10e conference on financial technologies was held in Davos, Switzerland. Among the topics were FinTech, ICO, blockchain, sharing economy. RAISON, a project by ITMO’s small innovative enterprise “Intellectual Information Systems” (IIS) and Threesixty Elements S.A. was presented there. In the near future, RAISON will become an investor’s pocket assistant: the system analyses the market, news and historical data to advise users on investment strategies. The project is based on elements of the AI system AKIL.IO developed by IIS. Denis Zhuk, AKIL.IO’s sales manager and PhD student at ITMO, and Andrey Gordeychuk, head of IIS, talk about RAISON and the integration of new technologies into the investment ecosystem.