Research
In medical and industrial R&D, one of the tasks faced by researchers is to identify the nanoparticles with the optimal properties for each given purpose. These, in turn, depend on the particle’s size and shape, of which there are many.
This task may have just become a lot easier thanks to the work of a team from ITMO’s Center for AI in Chemistry. Speaking at the ICML 2024 conference, they unveiled an ML-based program that predicts these sought-after properties of a nanoparticle before it’s even been made, all with an unprecedented accuracy of 81%. Additionally, the model has now been trained to visualize particles based on the description of their synthesis.
Read more: ITMO Scientists’ New Machine Learning Model Predicts Nanoparticle Shape and Size
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By now, it’s clear to many that quite a few “green” products are actually anything but. Be it coffee cups, utensils, or any other everyday item, the question of biodegradability is becoming ever more prominent. Recently, researchers from ITMO’s Faculty of Biotechnologies devised a system to gauge the eco-friendliness of items more accurately – down to the precise time it would take them to break down and to what percentage.
Read more: New Invention from ITMO: Materials Biodegradability Testing
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Smart and spectacular – this description most definitely applies to this latest invention courtesy of researchers from ITMO and Tyumen State University. Their algorithm analyzes the patterns within a cloud of water particles and converts them into sound, resulting in a highly peculiar new genre of “music.”
The actual purpose of the system is to study the way in which data is exchanged between particles within self-organized systems. The same principles, scientists believe, can be applied in the development of chemical computers, a new alternative to conventional electronic devices, and even programmable living systems.
Read more: Tiny Orchestra: New AI Model Uses Water Vapor to Make Music
Startups & business
It all started with a simple idea: what if an algorithm could perform preliminary dental diagnostics based on a simple photo? For Daniil Maklakov, a Master’s student at ITMO, it was the golden ticket to business success: now, his startup SmileAI has raised 10 million rubles from a venture fund. How does it work? What did it take to get there? And what is the future of the service? Read it all in our interview with the young entrepreneur.
Read more: Success Story: ITMO Student Attracts 10 Million Rubles in Investments for His Startup
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Every year, a whopping 140 projects are developed at the ITMO Accelerator. Within just a few months, mere ideas grow into full-fledged prototypes, business plans, and initial sales. Last month, we spoke with staff, residents, and partners of the acceleration program to learn all about its inner workings.
Read more: Stable Influx of New Startups: How ITMO Accelerator Supports New Projects
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Algorithms are turning the financial industry upside down – and we’ve got the first row seats. In a blog post by ITMO Bachelor’s student Anatoly Koropchenko, he breaks down the impact that machine learning tools are having on banking: from credit ratings and workflow management to digital assistants.
Read more: Blogs Machine Learning Trends in the Banking Sector
