Tag: DNA storage

Conference / Workshop

DATE 2024

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M1 student Koike and faculty member Sato presented the following research at the Design, Automation and Test in Europe Conference (DATE) 2024 held in Valencia, Spain, on March 25-27, 2024 (presentation dates: March 25 and 27, respectively) Dr. Hashimoto served as a panelist at the Focus session “Resilience of Deep Learning Applications: Where We Are and Where We Want to Go” (March 27th).

  • Takefumi Koike, Hiromitsu Awano, and Takashi Sato, “DNA-based similar image retrieval via triplet network-driven encoder,” in Proc. Design, Automation and Test in Europe (DATE), pp.1-2, March 2024.
  • Sosei Ikeda, Hiromitsu Awano, and Takashi Sato, “Fast parameter optimization of delayed feedback reservoir with backpropagation and gradient descent,” in Proc. Design, Automation and Test in Europe (DATE), pp.1-6, March 2024.
Conference / Workshop

Papers accepted for DAC2024

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The following papers have been accepted to Design Automation Conference (DAC), to be held in San Francisco, CA, in July 2024.

  • Takefumi Koike, Hiromitsu Awano, and Takashi Sato, “Triplet network-based DNA encoding for enhanced similarity image retrieval,” in Proc. ACM/IEEE Design Automation Conference (DAC), July 2024, to appear. (regular paper acceptance ratio: 23%)
  • Quan Cheng, Qiufeng Li, Longyang Lin, Wang Liao, Liuyao Dai, Hao Yu and Masanori Hashimoto, “How accurately can soft error impact be estimated in black-box/white-box cases? — a case study with an edge AI SoC –, July 2024, to appear. (regular paper acceptance ratio: 23%)
Conference / Workshop

Paper accepted in DATE 2024 conference

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The following paper has been accepted to Design Automation and Test in Europe (DATE), to be held in VALENCIA, Spain, in March 2024.

  • Sosei Ikeda, Hiromitsu Awano, and Takashi Sato, “Fast parameter optimization of delayed feedback reservoir with backpropagation and gradient descent,” in Proc. Design, Automation and Test in Europe (DATE), March 2024, to appear.