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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 has recently hosted the Artificial Intelligence and Natural Languages Conference, where experts from all over the world discussed the relevant issues of neural networks' development, semantic technologies, and deep learning. Jörg Tiedemann, a professor at the University of Helsinki, whose research is focused on improving the quality of the computer-aided translation, gave a lecture on its history and the new opportunities offered by neural networks.
Natalia Khanzhina, Ph.D. student at the Computer Technologies Department, is the recipient of a scholarship from Sberbank. The fledgling researcher took part in an IT project competition that required her to make a system that would create customized investment portfolios for customers. The program involves deep-learning technology; after completion, it will be adopted by the bank’s system while Natalia herself will have the opportunity to intern in the company’s IT department or even find employment there.
In just a few days, the neural-network based app Teleport, which turns a simple selfie into a colorful collage in the blink of an eye, rose to second place on App Store’s Top Free Games list. With 1.5 million downloads, the service has gone viral on social media, coming close to the success of similar photo editing apps such as Meitu, FaceApp and Prizma. These days neural networks help us pick hair and lipstick colors, come up with beer names and draw cat pictures. But they are capable of much more complex tasks in business, finance and science. Medical diagnostics, searching for hypervelocity stars and rare animals – here’s how neural networks are helping scientists today.
Neural Networks Never Get Tired: Data Science Specialist Andrei Sozykin On Opportunities Offered By Neural Networks
Neural networks help treat heart attacks, manage traffic, analyze images and advize banks which services to offer. With each day, they enter new areas of our lives, and companies find more and more applications for them. Yet, what are their inner workings, and how does one start his path to becoming a specialist on analyzing Big Data? Andrei Sozykin, head of the High-performance Computer Technologies Department of Ural Federal University answered these questions during an open lecture organized by ITMO University and the NVIDIA Company.