Search by tag «Machine Learning» 95 results
With electrochemical analysis (a high sensitivity method for detecting target substances in solutions) and machine learning at its core, the new technology developed at ITMO can automatically detect the exact quantity of antibiotics in milk. Apart from protecting consumers from harmful substances, the new solution can be used to analyze other environments, such as oil (for revealing unwanted contaminants), coffee (for determining its quality), and wine (for verifying its authenticity). The technology with its underlying research was described in an article in ACS Applied Materials & Interfaces.
Four research projects developed by scientists from ITMO University received the top accolades in this year’s Blue Sky Research competition, which focuses on AI applications in agricultural and food industries, with winners receiving 1.5-million-ruble grants. This competition aims to support young researchers with promising high-risk ideas.
In this interview, we meet Muslimbek, a first-year Master's student of big data and machine learning at ITMO who shares the essence of his hometown, the driving force behind his venture into machine learning, and his vibrant life beyond studies. A true enthusiast, Muslimbek effortlessly balances academia with a myriad of hobbies. Join us for an inspiring conversation as we uncover his unique journey, offering a glimpse into the soul of a machine learning aficionado.
Meet Affandy, a recent graduate of ITMO’s Big Data and Machine Learning program, who comes from the vibrant archipelago of Indonesia. In this interview, he takes us on a captivating voyage through his experiences, sharing the highs and lows of his life in St. Petersburg, his hobbies, and a glimpse into the enchanting traditions of his homeland. Read on!
ITMO Scientists Suggest New Synthesis Method For Nanoparticles Used in Cancer Treatment and Diagnostics
Researchers from ITMO’s ChemBio Cluster have suggested a new way of synthesizing magnetic nanoparticles for cancer treatment and diagnostics. Thanks to machine learning at the core of the new approach, the scientists can quickly select the properties of nanoparticles for efficient MRI diagnostics and hyperthermia treatment. With the new method, the synthesis of a single nanoparticle takes just a few seconds – compared to the hours required in the conventional experimental approach. The method was described in a paper published in Small.
Jaafar Mahmoud and Ammar Ali, PhD students at the Faculty of Control Systems and Robotics and the Information Technologies and Programming Faculty, took gold at Image Matching Challenge 2023, having surpassed almost 500 teams from around the world.
As Google unveils its latest generative AI features for Gmail and Docs, and AI writing tools such as ChatGPT and Wordly continue to gain popularity, the question arises: can one exclusively rely on AI for writing-related tasks? Despite the significant limitations of the currently available AI tools, is it conceivable to complete a writing project using AI alone? Let's put machines to the test and see if they can truly replace human writers.
Using OpenAI’s hot commodity software ChatGPT, a team of ITMO students programmed a Telegram bot that puts together a selection of ITMO events using data from various sources.
This year, ITMO is launching Design and Development of Big Data Systems, a new Master’s program that will train students to work with distributed big data systems, develop machine learning models, and perform analytics. Graduates of the program will work as data engineers, data architects, machine learning engineers, or backend developers. We took a closer look at the new program.
Nanoparticles and nanomaterials are commonly used in diagnostics and drug delivery systems for oncological treatment. However, in order to be used safely, such materials have to be checked for toxicity. Students from ITMO University have developed an algorithm that can quickly predict a material’s toxicity, with fewer experiments needed to perform the task. Their study was published in Small.