Search by tag «Machine Learning» 100 results

  • Yandex Expert Shares Rules for Co-Existence of Humans and AI

    Machine intelligence, open source code and cloud storage are having a radical effect on business models, job market demand and human life. For companies to remain commercially viable and for people to remain employed, it is necessary to learn and adapt, as well as to break the stereotypes about the role of machines in society. As part of the Future in Tech: What’s Next conference in Moscow, Andrey Sebrant, Product Marketing Director at Yandex, spoke about these and other topics.

    29.08.2017

  • How Neural Networks Help Scientists

    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.

    08.08.2017

  • How Researchers Use Social Media to Find Cool Spots and Fight Crime

    On July 1 to 8, the Web Science Summer School 2017 was held in St. Petersburg. It was organized by Laboratory of Internet Studies at Higher School of Economics and ITMO University’s International Laboratory “Computer Technologies”. The School’s mentors presented the projects in data set analysis. ITMO.NEWS has examined some of the social network data analysis projects developed by specialists from ITMO’s eScience Research Institute.

    13.07.2017

  • Technopark Resident VISmart: Helping Machines Think Like Humans

    Semantic information processing technologies and semantic web software will soon allow search engines to think almost like humans. Among other things, they would be able to make logical connections between various bits of data and combine databases into unified information systems. Better yet, this related data will be visualized in a form comprehensible to a regular user. The company VISmart, a resident of ITMO University’s Technopark, is working on several projects in this field. Recently they were joined by a scientist from Austria whose research will help VISmart in improving their service that focuses on searching for and visualizing information using semantic technology.

    06.07.2017

  • WWSSS'17 Brings Together Social and Computer Sciences

    The annual WSTNet Web Science Summer School takes place on July 1 to 8 in St. Petersburg. This year, it is organized by the Laboratory of Internet Studies at Higher School of Economics and ITMO University’s International Laboratory “Computer Technologies”. This Summer School is a cross-disciplinary platform for discussion of the impact of the World Wide Web on our society. Today’s scientists draw from both social and computer sciences to study this transformation. WWSSS’17 brings together experts from many fields, but they are all united by their interest in the internet as a social and technological system.

    05.07.2017

  • ITMO Students in Singapore: How to Please Customers by Analyzing Their Social Media

    In future, social networks could make advertisers’ work much easier. Big Data analysis algorithms can already figure out the ins and outs of a customer’s personality. They can be used to track negative reviews, determine the customers’ desires, identify their psychological type and tailor advertisements according to each customer’s data. A group of Master’s Degree students from the Computer Technologies Department have studied this topic at the National University of Singapore. They have told us about their research and the pros and cons of living in a city state. 

    21.06.2017

  • 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.

    19.05.2017

  • Gutenberg’s Lounge: Human-like Intelligence or a Spotless Mind?

    Now robots can write poems, play Go and win as well as make jokes. It seems that they will soon feel like we do and surpass all humans. Alexey Potapov, professor at ITMO and St. Petersburg State University, author of books on AI and speaker of the science popular project Gutenberg's Lounge, shared about how to empower AI, why it is wrong to create AI in the image and likeness of the human brain and how to control "smart" machines.

    06.03.2017

  • Teaching the Machine: The Prospects of Neural Networks

    A diagnostician bot that can tell you which doctor you should go to, or a system that can define the winner of a beauty contest all by itself — such things are no longer traits of a science-fiction novel, but descriptions of real programs. Each is based on neural networks, which progress in analyzing texts and recognizing items or faces with every passing day. One can even train the network to find a personal Pokemon for everyone, like Ludmila Kornilova, a student from ITMO University, did. In an interview to ITMO.NEWS, she shared about her projects in machine learning, and whether a machine can discern right from wrong.

    22.02.2017

  • Science Slam ITMO 2.0 Final

    The final of the second round of the university league’s Science Slam took place on Friday. Six young scientists fought for the audience applauses as they explained their research in layman’s terms to the not so scientific audience. Based on the audience votes, the winner was the only girl in the competition, Alexandra Toropova, a Master’s student from the Department of Computer Photonics and Digital Video Processing. For those who missed it, here’s a brief description of what these six geniuses are creating and discovering.

    20.12.2016