Blog(1)

• Zero-Cost Neural Architecture Search

  Neural architecture search (NAS) is quickly becoming the standard methodology for designing deep neural networks (DNNs). NAS replaces human-designed DNNs by automatically searching for a DNN topology and size that maximize performance.

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Research Achievements(27)

• Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks

  AuthorJikun Kang, Di Wu, Ju Wang, Ekram Hossain, Xue Liu, Gregory Dudek.

  PublishedIEEE International Conference on Communications (ICC)

  Date2023-05-28

• Intelligent O-RAN for Beyond 5G and 6G Wireless Networks

  AuthorSolmaz Niknam, Abhishek Roy, Harpreet S. Dhillon, Sukhdeep Singh, Rahul Banerji, Jeffrey H. Reed, Navrati Saxena, Seungil Yoon and Avinash Bhat

  PublishedIEEE Global Communications Conference (Workshop)

  Date2022-09-19

• Low-cost Beam-combining Architecture for RUs in mmWave Massive MIMO based 5G-O-RAN System

  AuthorAbhay K. Sah, Santosh K. Singh, Satya K. Vankayala, S. Parthasarathy, U. Godavarti, S. Yoon

  PublishedIEEE Global Communications Conference (Workshop)

  Date2022-09-19

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News(7)

• [Blog] Zero-Cost Neural Architecture Search

  Neural architecture search (NAS) is quickly becoming the standard methodology for designing deep neural networks (DNNs).

• Samsung Wins Twin Honours at the Nasscom Engineering & Innovation Excellence Awards

  Samsung R&D Institute Bangalore (SRI-B) won the ER&D Organization of the Year Award and the Social Impact Solution of the Year Award at the first edition of the NASSCOM Engineering & Innovation Excellence Awards in 2021.

• Samsung Wins Twin Honours at the Nasscom Engineering & Innovation Excellence Awards

  Samsung R&D Institute Bangalore (SRI-B) won the ER&D Organization of the Year Award and the Social Impact Solution of the Year Award at the first edition of the NASSCOM Engineering & Innovation Excellence Awards in 2021.

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