Search by tag «Machine Learning» 80 results

  • Summer Schools in Computer Science: Parul University Students Visit ITMO

    Every year ITMO organizes several short-term programs during the summer and the winter season. These schools are open to students from around the world and are specially tailored to provide them with cutting-edge skills. This year, we were thrilled to welcome ten budding techies from Parul University, our long-time academic partner, yet again to our campus. They participated in a special six-week program including two ITMO summer schools on competitive programming and machine learning. The middle two weeks of their stay involved a tailor-made course on data science and Python programming. ITMO.NEWS got the opportunity to talk to three of them and learn about their journey and their experiences here in St. Petersburg. What do they think about the metro? Did they try borscht? We dive deeper into these topics and more in this article.  

    21.07.2022

  • Applied AI Challenge: Winners’ Tips and New Opportunities for Participants

    Applied AI Challenge, an online hackathon in machine learning and data analysis, will launch at ITMO on May 17. This year, it is organized in partnership with Tochka Bank and Gazprom Neft’s Science and Technology Center. Winners will be able to enroll into Master’s programs Big Data Financial Technologies and AI in the Industry without exams. Read on to learn why you should participate in hackathons, how to take part in Applied AI Challenge, and what to expect from the contest. 

    13.05.2022

  • ITMO Launches New Master’s Program in Design and Development of AI Systems

    ITMO’s Faculty of Software Engineering and Computer Systems has launched a new Master’s program Design and Development of AI Systems. There, students will learn to solve applied problems using existing tools and architectures of neural networks, while also acquiring a deep understanding of methods and technologies needed for AI software systems development. Read on to learn more about the program’s standalone features and the prospects of Master’s students.

    12.04.2022

  • Finding Nanoparticles: ITMO Scientists Propose New Method for Discovering Nanomaterials With Desired Properties

    Researchers from ITMO’s ChemBio Cluster have devised an algorithm that can automatically detect the properties of nanoparticles, including their size, shape, and surface structure, based on their images and even sketches and find similar particles in its database. The novel system also works the other way around by informing users how to produce substances with the desired properties. Read on to learn how AI helps accomplish the challenges of materials science and what the scientists want to achieve with their research.

    17.03.2022

  • ITMO Launches Online Master’s Program in Machine Learning

    ITMO University and Napoleon IT are launching a new Master’s program titled Machine Learning Engineering. Its students will train under experienced mentors in the format of a distributed project office – a format that has already become common at major IT companies. Over the course of two years, they will acquire skills equivalent to the Middle Machine Learning Engineer level. More about the program and admissions – in this article.

    28.02.2022

  • Switching From Robotics to Data Science: ITMO PhD Student Qi Yang on Courage to Do What You Love

    Qi Yang first came to Russia six years ago to follow his high school dream of getting into ITMO. After acquiring his Bachelor’s and Master’s degrees from ITMO’s Faculty of Control Systems and Robotics, Qi Yang realized that his heart was in big data and machine learning. That’s why he enrolled into a PhD program at ITMO’s Information Technologies and Programming Faculty. These days, Qi Yang analyzes social media data and develops unique methods for automated profiling. Read on to learn how working with data is more exciting than robotics and why it’s important to follow your heart when choosing your career. 

    02.02.2022

  • ITMO Associate Professor ‪Andrey Filchenkov on Why Robots Can’t Replace Doctors

    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.

    16.08.2021

  • Machine Learning and Geological Faults: ITMO Students Take Part in a School by Gazprom Neft

    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. 

    17.06.2021

  • 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.

    20.05.2021

  • ITMO’s Andrey Filchenkov: How To Train Neural Networks To Identify Debtors Based on Their Expenses

    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. 

    13.05.2021