EECS interna kalender

Kalenderhändelser saknas för aktuell period.

Kommande kalenderhändelser:

• Automated Optimizations for Inference in Probabilistic Programming Languages

  14 okt

  Licentiatseminarier

  Datalogi

  måndag 2024-10-14, 13.00

  Plats: Room Ada, Electrum, Kistagangen 16

  Videolänk: https://kth-se.zoom.us/j/66846620144

  Licentiand: Gizem Çaylak , Programvaruteknik och datorsystem, SCS

  2024-10-14T13:00:00.000+02:00 2024-10-14T13:00:00.000+02:00 Automated Optimizations for Inference in Probabilistic Programming Languages (Licentiatseminarier) Room Ada, Electrum, Kistagangen 16 (KTH, Stockholm, Sweden)Automated Optimizations for Inference in Probabilistic Programming Languages (Licentiatseminarier)

• Electrical Stimulator and Surface Electromyography Integrated Circuits for Musculoskeletal Healthcare

  18 okt

  Disputationer

  Informations- och kommunikationsteknik

  fredag 2024-10-18, 10.00

  Plats: Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista

  Respondent: Yu-Kai Huang , Elektronik och inbyggda system, Mixed-Signals ICs and Systems

  2024-10-18T10:00:00.000+02:00 2024-10-18T10:00:00.000+02:00 Electrical Stimulator and Surface Electromyography Integrated Circuits for Musculoskeletal Healthcare (Disputationer) Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista (KTH, Stockholm, Sweden)Electrical Stimulator and Surface Electromyography Integrated Circuits for Musculoskeletal Healthcare (Disputationer)

• Representation Learning and Parallelization for Machine Learning Applications with Graph, Tabular, and Time-Series Data

  21 okt

  Disputationer

  Datalogi

  måndag 2024-10-21, 09.00

  Plats: Sal C, Electrum, Kistagången 16

  Videolänk: https://kth-se.zoom.us/s/63322131109

  Respondent: Tianze Wang , Programvaruteknik och datorsystem, SCS

  2024-10-21T09:00:00.000+02:00 2024-10-21T09:00:00.000+02:00 Representation Learning and Parallelization for Machine Learning Applications with Graph, Tabular, and Time-Series Data (Disputationer) Sal C, Electrum, Kistagången 16 (KTH, Stockholm, Sweden)Representation Learning and Parallelization for Machine Learning Applications with Graph, Tabular, and Time-Series Data (Disputationer)