Search by tag «Machine Learning» 74 results
In July, Andrey Filchenkov delivered a talk on machine learning in medicine at a conference at ITMO University. ITMO.NEWS talked to the researcher to learn more about what stands in the way of progress and why machines won’t be able to fully substitute for medical specialists.
This spring, the Sirius educational center in Sochi held a school in Infocommunication Technologies Application in the Oil and Gas Industry. At the school organized by the Gazprom Neft Science & Technology Center students learned how machine learning can be used in the mining of mineral resources and created team projects on the topic. First-year students of ITMO’s Master’s program in Big Data and Machine Learning were among the participants of the school.
ITMO Researchers Create an Algorithm To Help Reduce the Risk of Complications in Cardiovascular Diseases
The machine-learning-based algorithm is developed by ITMO’s National Center for Cognitive Research. By analyzing data on patients’ well-being and lifestyle, the program will help physicians make timely decisions on prescribing treatment, drugs, or surgery. The study was published in Journal of Computational Science.
Researchers at ITMO’s Information Technologies and Programming Faculty created a model that can tell responsible loaners from those who don’t pay back their bank loans by the spending pattern. The algorithm can also serve as the basis for a system that would notify credit card users about their risky behaviour. ITMO.NEWS asked Andrey Filchenkov, associate professor at ITMO, head of the Machine Learning Lab, and one of the authors of the project, how the algorithm works, if it is possible for it to make a mistake, how ethical it is to use it, and, most importantly, why people keep viewing neural networks apprehensively despite their obvious successes.
Science Slam is a science popularization project consisting of brief scientific stand-ups. The task of the scientists is to present their research in the most interesting, dynamic, and rousing manner. Winners were chosen by voting among the audience.
Biometric technology, such as voice recognition, is now being rolled out in banking. At the end of 2020, Russia passed a law enhancing the use of biometrics in the financial sector. However, cybercriminals already know how to fool such identification and gain access to customers’ money using fake audio tracks. How does it happen? What can cybersecurity specialists do about it? And what solutions can ITMO offer? Alexander Kuznetsov, an associate professor at ITMO’s Faculty of Secure Information Technologies, will answer these and many other questions.
Computers can outperform people in many fields – but, it seemed, not in the art of making jokes. ITMO University researchers decided to try and dispute this claim. This year, to celebrate April Fools’ Day they taught GPT-3, the world’s most powerful text-generating algorithm, to make jokes. Now anyone on the internet can test the results of their work.
Ammar Ali, a Master’s student at ITMO’s Information Technology and Programming Faculty, took first place in the American National Oceanic and Atmospheric Administration (NOAA) competition where he had to create a model that predicts disturbances in the Earth’s geomagnetic field.
ITMO Professor Creates Platform to Help Bloggers Understand Their Audience, Find Partners and Improve Content
The SoPop.ai platform analyzes a creator’s publications and identifies user reactions to them. It also helps companies search for blogs they can use for advertising purposes. The project makes use of ideas developed by ITMO scientists that focus on using neural networks in working with social media content.
Prof. Aleks Farseev and his colleagues will get access to the GPT-3 neural network that can produce content that blurs the lines between machine and human crafted content. The team will use the new capabilities for improving advertising algorithms in social media.