Blog(4)

• A Reinforcement Learning-Based Rate Control for Neural Video Compression

  Past years have witnessed the explosive growth of end-to-end neural video compression (NVC) approaches.

• A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization

  Research in Automatic Speech Recognition (ASR) continues to show that larger models yield better results. But while state-of-the-art networks continue to grow with billions of parameters, the difficulty of deploying these models on device also increases.

• AI Technology's Foray Into The Enchanting World of Video Compression

  Images and videos have been at the forefront of digital media consumption for a long time. All aspects of video and image capture, transmission, and display have seen leaps of innovation in recent times.

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Research Areas(0)

Publications(44)

• On the Interaction Between Model Compression and Test-Time Adaptation

  AuthorYoung D. Kwon

  PublishedCoLLAs 2026 (Conference on Lifelong Learning Agents)

  Date2026-09-14

• NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices

  AuthorRuchika Chavhan, Malcolm Chadwick, Alberto Gil Ramos, Luca Morreale, Mehdi Noroozi

  PublishedICML 2026 (International Conference on Machine Learning)

  Date2026-07-07

• Clustering-driven Memory Compression for On-device Large Language Models

  AuthorOndrej Bohdal, Mete Ozay

  PublishedIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

  Date2026-05-04

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News(9)

• [Blog] Large-Scale AI CSI Compression for 6G FR3

  In modern mobile systems, channel state information (CSI) feedback from user equipment (UE) plays a crucial role in enabling downlink operations, including beamforming, precoding, and scheduling.

• [Blog] A Reinforcement Learning-Based Rate Control for Neural Video Compression

  Past years have witnessed the explosive growth of end-to-end neural video compression (NVC) approaches. Benefiting from the powerful nonlinear modeling capability of deep neural networks (DNN) and end-to-end optimization with extensive training data, the compression performance of the latest NVC solutions has surpassed that of traditional standards.

• [Blog] 6G AI/ML for Physical-layer: Part II - CSI compression with JSCM

  In modern wireless systems, the efficient acquisition of Channel State Information (CSI) has become increasingly critical, driven by the deployment of massive antenna arrays and the demand for higher spectral efficiency.

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Others(1)

• Meet our researchers

  What we do Working at Samsung Research is more than just a job. Find out how our researchers enjoy their work and are passionate about making a positive impact in the world. PlayVideo thumbnail - leehojung AI: Language Understanding Lee Ho-jung PlayVideo thumbnail - leejaewon AI: Speech Recognition Lee Jae-won PlayVideo thumbnail - kimkyungsoo AI: Visual Perception Kim Kyung-su PlayVideo thumbnail - hammyungjoo AI: On-Device AI Software Ham Myung-joo PlayVi...