Blog(3)
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.
Given the presence of diverse services and devices generating heterogeneous traffic patterns, the careful selection of appropriate ML models and optimal allocation of ML resources based on the current network’s ML resource usage is crucial [2].
With the requirements to support the emerging applications, such as autonomous driving, remote medical services, factory automation, etc., the communication networks encounter the challenge of the increasingly stringent key performance indicators (KPIs) within the complex system design.
Research Areas(2)
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...
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(62)
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
AuthorRetiree,Shangqian Gao,Yen-Chang Hsu,Yilin Shen,Hongxia Jin
PublishedIEEE Winter Conference on Applications of Computer Vision (WACV)
Date2024-01-03
AutoMLPoweredNetworks: Automated Machine Learning Service Provisioning for NexGen Networks
AuthorSukhdeep Singh, Ashish Jain, Joseph Thaliath, Moonki Hong, Seungil Yoon
PublishedIEEE Global Communications Conference (GLOBECOM)
Date2023-12-04
AdaCLIP: Towards Pragmatic Multimodal Video Retrieval
AuthorZhiming Hu, Angela Ning Ye, Salar Hosseini Khorasgani, Iqbal Mohomed
PublishedACM Multimedia Conference (ACM MM)
Date2023-10-25
News(24)
Others(3)
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...
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...
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, ...