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[Into the Future With Samsung Research ④] Samsung R&D Institute Russia: Optimizing User Experience and More With Intelligent System Software Solutions
In this relay series, Samsung Newsroom is introducing tech experts from Samsung’s R&D centers around the globe to hear more about the work they do and the ways in which it is directly improving the lives of consumers.
On October 15, 2021
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Samsung AI Forum 2021 Explores Future of AI Research
On October 6, 2021
Research Insights
Focus Areas
Blog
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Fast and Accurate Inference in Variational AutoencodersVariational Autoencoders (VAE) [2,3] and Generative Adversarial Networks (GAN) [4] are the most popular deep generative models for high dimensional data (e.g., images).On October 15, 2021
Minyoung Kim
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Digital Key Development Enables New Era of Security and ConvenienceAs you leave home, have you ever thought, "Oh, there is too much stuff in my pockets", or "have I forgotten my smartphone, car key, home key, wallet…?" Well, then this article will be interesting to you.On October 5, 2021
James E. Schuessler
Sooyeon Jung
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Your face is your keyWe live in an online world where users sign up to multiple online accounts and are constantly worried about identity theft that may potentially happen from these online accounts. User credentials are especially an important aspect of ensuring the security of an online user, and according to a recent survey on users’ password habits conducted by Data insider, 44% of people changed their password only once a year or less.On September 28, 2021
Jinsu Kim
Jungkon Kim
Research Achievements
XDD (Cross Division Duplex) is one of the key technologies that Samsung is proposing as part of Rel-18 NR (5G-Advanced).
Download White paper
SAFENet: A Secure, Accurate and Fast Neural Network Inference
Author
Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang
Published
ICLR2021
Date
2021.12.12
Point-Based Modeling of Human Clothing
Author
Ilya Zakharkin, Kirill Mazur, Artur Grigorev, Victor Lempitsky
Published
ICCV 2021
Date
2021.10.10
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Author
Kirill Mazur, Victor Lempitsky
Published
ICCV 2021
Date
2021.10.10
