Efficient Deep Learning
  • Overview
    • Motivation
    • Program structure
    • Management structure
    • Results
    • Publication Overview
    • Newsletters
    • Events
      • EDL Plenary meeting, 21. October 2022 at Kaap Doorn
      • NCCV 2022
      • Workshop on Edge Computing, Friday June 4th, 2021
      • EDL Annual Day, February 4th, 2022
      • EDL Winter school, 22-25 November 2021
  • Partners
  • Research lines
    • R1: Data-efficient DL
    • R2: Efficient Multi-modal and Temporal DL
    • R3: DL Verifiability, Accountability and Visualization
    • R4: Efficient DL Processing Components
    • R5: Efficient DL Architectures
    • R6: Distributed HPC for DL
  • Projects
    • P1 : DL as a Service (DLaaS)
    • P2 : DL for 3D Reconstruction, Matching & Recognition (RMR)
    • P3 : DL for Video Analysis and Surveillance (VAS)
    • P4 : Deep Learning for High-Tech Systems and Materials (HTSM)
    • P5 : DL for Human and Animal Health (HAH)
    • P6 : DL for Mobile Robotics (MRob)
    • P7 : Efficient Deep Learning Platforms (eDLP)
  • Researchers
    • Akdag, Erkut
    • Bakker, Tim
    • Boekema, Hidde
    • Brand, Patrick
    • Das, Partha
    • Eissa, Sherif
    • Emad, Mohammad
    • Fatseas, Konstantinos
    • Hoseini, Sahar
    • Karami, Taha
    • Klomp, Sander
    • Koudahl, Magnus
    • Liu, Xin
    • Mercan, Caner
    • Mesarcik, Misha
    • Nigade, Vinod
    • Pérez Rey, Luis Armando
    • Piva, Fabrizio J.
    • Romero, David W.
    • Russello, Helena
    • Strafforello, Ombretta
    • Thoker, Fida Mohammad
    • Xia, Zimin
    • Yin, Bojian
  • Contacts
  • News
    • Project members
    • Companies
    • Consortium
  • Overview
    • Motivation
    • Program structure
    • Management structure
    • Results
    • Publication Overview
    • Newsletters
    • Events
      • EDL Plenary meeting, 21. October 2022 at Kaap Doorn
      • NCCV 2022
      • Workshop on Edge Computing, Friday June 4th, 2021
      • EDL Annual Day, February 4th, 2022
      • EDL Winter school, 22-25 November 2021
  • Partners
  • Research lines
    • R1: Data-efficient DL
    • R2: Efficient Multi-modal and Temporal DL
    • R3: DL Verifiability, Accountability and Visualization
    • R4: Efficient DL Processing Components
    • R5: Efficient DL Architectures
    • R6: Distributed HPC for DL
  • Projects
    • P1 : DL as a Service (DLaaS)
    • P2 : DL for 3D Reconstruction, Matching & Recognition (RMR)
    • P3 : DL for Video Analysis and Surveillance (VAS)
    • P4 : Deep Learning for High-Tech Systems and Materials (HTSM)
    • P5 : DL for Human and Animal Health (HAH)
    • P6 : DL for Mobile Robotics (MRob)
    • P7 : Efficient Deep Learning Platforms (eDLP)
  • Researchers
    • Akdag, Erkut
    • Bakker, Tim
    • Boekema, Hidde
    • Brand, Patrick
    • Das, Partha
    • Eissa, Sherif
    • Emad, Mohammad
    • Fatseas, Konstantinos
    • Hoseini, Sahar
    • Karami, Taha
    • Klomp, Sander
    • Koudahl, Magnus
    • Liu, Xin
    • Mercan, Caner
    • Mesarcik, Misha
    • Nigade, Vinod
    • Pérez Rey, Luis Armando
    • Piva, Fabrizio J.
    • Romero, David W.
    • Russello, Helena
    • Strafforello, Ombretta
    • Thoker, Fida Mohammad
    • Xia, Zimin
    • Yin, Bojian
  • Contacts
  • News
    • Project members
    • Companies
    • Consortium

Newsletters

Newsletters are published regularly and your contributions are very welcome. You can send your contributions for the newsletter to:

   Henk Corporaal
   Víctor Sanchez
   Marja de Mol


Newsletter #1_March 2021Download
Newsletter # 2_July 2021Download

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