Sergei V. KalininLearning to codeThe famous truism is that scientists should always learn. And it is true — being active in a professional domain requires learning new…Jan 19, 2023Jan 19, 2023
Sergei V. KalininVariational (invariant) autoencoders, or the power of simplicityThis LRMR (long read, many references) talks about the variational autoencoders — rotationally and shift invariant, and…Jan 3, 2023Jan 3, 2023
Sergei V. Kalinin10 great things in 2022The year of 2022 was the year of many transitions, but also continuity in research, and multiple opportunities to grow. After almost 20…Jan 1, 2023Jan 1, 2023
Sergei V. KalininWhy do we need atomically-precise fabrication of semiconductors?One of the most fascinating aspects of nanoscience is the vision for direct atomic fabrication, or building matter atom by atom. Originally…Nov 22, 2022Nov 22, 2022
Sergei V. KalininWhen machine learning meets scientific method: enter hypothesis learningFor the last decade, machine learning field have been grown exponentially — for applications ranging from autonomous driving ,robotics…Nov 21, 2022Nov 21, 2022
Sergei V. KalininIs automation all we need for automated labs?Over the last 3 years, automated labs have become a focus of attention of researchers in academia and industry. The most attention is…Nov 12, 2022Nov 12, 2022