Blog(10)

• RaBiT: Residual-Aware Binarization Training for Accurate and Efficient LLMs

  The rapid advancement of Large Language Model (LLM) capabilities has been accompanied by a significant increase in model parameter scale.

• LittleBit-2: Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment

  Large Language Models (LLMs) continue to deliver remarkable capabilities, but their memory footprint remains a rigid barrier to deployment.

• Advancing Privacy Preserving Techniques for Machine Learning

  Machine learning (ML) is transforming the world we live in and the way we operate our business. We are experiencing mass adoption of ML at scale that is directly impacting our day to day lives.

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Research Areas(2)

• Data Intelligence

  Overview The importance and value of data is growing nowadays and recognized as driving forces of innovation and competitiveness in diverse industrial fields. As data generation is explosively gaining speed, the amount of data is also rapidly augmenting. However, it is not the large amount of data itself that leads to innovation, but the technology that enables using the data meaningfully. As Samsung Electronics operates within a wide range of business portfolios...

• Robotics

  Overview For many years in the past, the concept of ‘Robot’ had remained the same: to help people with routine labor mainly in industrial applications. Now, with the rapid development of AI, robotics, and cloud computing, the concept of robot has been revolutionized and redefined, allowing for the emergence of a new intelligent robot market not just for the industrial world but for various professional and personal use cases in people’s normal lives. To address ...

Publications(94)

• Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning

  AuthorHao Zhou, Cyrus Tanade, Keum San Chun, Juhyeon Lee, Migyeong Gwak, Viswam Nathan, Md Mahbubur Rahman, Subramaniam Venkatraman, Sharanya Arcot Desai

  PublishedInternational Conference on Machine Learning (ICML)

  Date2026-05-01

• FedHB: Hierarchical Bayesian Federated Learning

  AuthorMinyoung Kim, Timothy Hospedales

  PublishedJournal of Machine Learning Research 2026 (JMLR)

  Date2026-03-02

• On-device System of Compositional Multi-tasking in Large Language Models

  AuthorOndrej Bohdal, Kyeng-Hun Lee, Jijoong Moon, Hyeonmok Ko, Mete Ozay

  PublishedThe 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP Industry Track)

  Date2025-11-04

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News(36)

• [Blog] Phase Error Resilient Practical Channel Estimation by Special Orthogonal Group Equivariant AI/ML

  Channel estimation (CE) is a critical component for ensuring optimal performance in wireless networks, operating primarily within the physical layer.

• [Blog] 6G AI/ML for Physical-layer: Part II – Audio Traffic with JSCM

  For decades, wireless systems have been built around one central objective: deliver bits as accurately as possible. That design philosophy has served the industry well, but it also reflects a strong assumption that communication quality is determined mainly by bit accuracy.

• [Blog] Evolution of the CU–DU Split Architecture for AI-Native 6G RAN

  Evolution of the CU-DU split architecture for 6G RAN is expected to ensure adaptive intelligence for network optimization, enhanced edge security, and seamless evolution in 6G era.

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Others(3)

• Samsung AI Center - Moscow

  About Us Papers Play Samsung AI Center – Moscow is the first institution in Russia focused directly on artificial intelligence (AI), where Russia’s strengths and capabilities in fundamental sciences, especially mathematics and physics, are brought together with Samsung global R&D strategy. Samsung AI Center - Moscow is led by Dr. Anton Konushin who is world-known AI Computer Vision expert and associate professor at Moscow State University and Higher School of Econo...

• Samsung Security Tech Forum 2020

  August 18, 2020, 10:00 - 15:00 (KST) Live Stream Watch Now Schedule 10:00 - 10:05 Introduction 10:05 - 10:10 Opening Remarks Sebastian Seung|Corporate President, Samsung Research 10:10 - 10:40 Keynote 1 >> Toward Safe Life Experiences through Security and Privacy Yong Ho Hwang|Vice President, Samsung Research Daniel Ahn|Senior Vice President, Samsung Electronics 10:40 - 11:20 Keynote 2 >> Privacy in the Era of Big Data, Machine Learning, IoT, and 5...

• Samsung Security Tech Forum 2020

  제4회 삼성전자 보안 기술 포럼 2020. 8. 18(화) 10:00 - 15:00 Live stream Watch Now Schedule 10:00 - 10:05 Introduction 10:05 - 10:10 Opening Remarks Sebastian Seung|Corporate President, Samsung Research 10:10 - 10:40 Keynote 1 >> Toward Safe Life Experiences through Security and Privacy Yong Ho Hwang|Vice President, Samsung Research Daniel Ahn|Senior Vice President, Samsung Electronics 10:40 - 11:20 Keynote 2 >> Privacy in the Era of Big Data, Machine Learning, ...