Ekaterina Artamonova@kate_artamonova
Всем привет!
Рады пригласить вас на следующее выступление в рамках бесплатных открытых лекций на Кипре от JetBrains!
Ближайшая встреча – 15 декабря, 6:30 pm
Machine Learning meets IDEs: A JetBrains Case. A talk by Timofey Bryksin (@timofeybryksin)
Antwork Coworking Limassol
Язык встречи: английский.
Для участия, пожалуйста, зарегистрируйтесь.
Подробнее о лекции и авторе:
Machine learning is a hot topic almost in every domain right now, including software engineering. More and more research papers are being published, introducing new approaches and improving existing ones, solving dozens of different tasks in this domain. Many of these papers report very high quality of their models, so sometimes reading them leaves you wondering, why don't we see features like this in our development tools? Well, in most cases, it is not that straightforward. In this talk, I discuss the way research ideas and academic prototypes find their way into software products at JetBrains. I will show several cases of how machine learning approaches are integrated into a modern IDE used by millions of developers every day. I will also highlight the challenges we usually face while doing it and discuss the promising research areas in this field.
Timofey Bryksin is a head of an R&D lab at JetBrains. Before that, he spent almost a decade working in industry as software engineer and engineering manager. His research interests revolve around software engineering tools and processes and how they can be enhanced with various types of data collected in this field. He holds a Ph.D. in Software Engineering from Saint Petersburg State University.
До встречи!
Рады пригласить вас на следующее выступление в рамках бесплатных открытых лекций на Кипре от JetBrains!
Ближайшая встреча – 15 декабря, 6:30 pm
Machine Learning meets IDEs: A JetBrains Case. A talk by Timofey Bryksin (@timofeybryksin)
Antwork Coworking Limassol
Язык встречи: английский.
Для участия, пожалуйста, зарегистрируйтесь.
Подробнее о лекции и авторе:
Machine learning is a hot topic almost in every domain right now, including software engineering. More and more research papers are being published, introducing new approaches and improving existing ones, solving dozens of different tasks in this domain. Many of these papers report very high quality of their models, so sometimes reading them leaves you wondering, why don't we see features like this in our development tools? Well, in most cases, it is not that straightforward. In this talk, I discuss the way research ideas and academic prototypes find their way into software products at JetBrains. I will show several cases of how machine learning approaches are integrated into a modern IDE used by millions of developers every day. I will also highlight the challenges we usually face while doing it and discuss the promising research areas in this field.
Timofey Bryksin is a head of an R&D lab at JetBrains. Before that, he spent almost a decade working in industry as software engineer and engineering manager. His research interests revolve around software engineering tools and processes and how they can be enhanced with various types of data collected in this field. He holds a Ph.D. in Software Engineering from Saint Petersburg State University.
До встречи!
2022-12-06 12:03:43
inkvizitor68sl@inkvizitor68sl
а у них тут офис есть чтоли?
2022-12-06 12:05:28
Да.
Как и еще у сотен компаний.
2022-12-06 12:06:40
inkvizitor68sl@inkvizitor68sl
не все из сотен компаний сидели с нами в одном здании в мск)
2022-12-06 12:08:54