Об Expasoft
С 2010 года разрабатываем ML/DL продукты и технологии
Дмитрий Луппов
COO
Евгений Григорьев
CFO
Команда
Андрей Денисов
CTO
Владимир Дюбанов
CEO
80+
50+
10
10+
человек в команде, в том числе 4 кандидата технических наук
реализованных проектов в области ИИ в 10 отраслях
отраслей
наград на отраслевых конкурсах
Публикации
Iterative Adaptation to Quantization Noise
D Chudakov, S Alyamkin, A Goncharenko, A Denisov / International Work-Conference on Artificial Neural Networks, 303-310

Low-power computer vision: Status, challenges, and opportunities
Sergei Alyamkin, Matthew Ardi, Alexander C Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko / IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9, 411-421
Trainable Thresholds for Neural Network Quantization
A Goncharenko, A Denisov, S Alyamkin, E Terentev / International Work-Conference on Artificial Neural Networks, 302-312

2018 low-power image recognition challenge
Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko / arXiv preprint arXiv:1810.01732

Book co-authors «Low-Power Computer Vision Improve the Efficiency of Artificial Intelligence
Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences
Выступления
Iterative Adaptation to Quantization Noise
D Chudakov, S Alyamkin, A Goncharenko, A Denisov / International Work-Conference on Artificial Neural Networks, 303-310

Low-power computer vision: Status, challenges, and opportunities
Sergei Alyamkin, Matthew Ardi, Alexander C Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko / IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9, 411-421
Trainable Thresholds for Neural Network Quantization
A Goncharenko, A Denisov, S Alyamkin, E Terentev / International Work-Conference on Artificial Neural Networks, 302-312

2018 low-power image recognition challenge
Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko / arXiv preprint arXiv:1810.01732

Book co-authors «Low-Power Computer Vision Improve the Efficiency of Artificial Intelligence
Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences