[finished] AI seminar by Institute for Physics of Intelligence (ipi seminar) will resume for 2022 AS.

固定ページ 2022/10/06

“AI for Physics, Physics for AI” is the guiding motto for Institute for Physics of Intelligence (ipi) and for its monthly seminar. After a break due to Covid restrictions, we are happy to announce that we will resume the ipi seminar from this April in an online format.
We would like to invite everyone who is interested in the synergy between AI and physics. Each month, we will host a 45-60Min seminar by renowned speakers on various topics that will provide an inspiration for the audience and offer the possibility for exchange and collaborations. Each seminar talk will be followed by up to 30Min of Q&A and informal chatting with the speaker.
  • [finished] Kana MORIWAKI /The University of Tokyo →for details, click HERE
    10:00-11:30 am JST, October 19
    “Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe”

  • [finished] Koji HASHIMOTO /Kyoto University →for details, click HERE
    10:00-11:30 am JST, November 10
    “Deep learning and emergent spacetime”
  • [finished] Kenji HARADA /Kyoto University →for details, click HERE
    10:30-12:00 am JST, November 24
    “Compressing neural networks by tensor networks”
  • [finished] Tomer GALANTI /Massachusetts Institute of Technology →for details, click HERE
    9:00-10:30 am JST, December 8
    “On the Role of Neural Collapse in Transfer Learning”

  • [finished] Akio TOMIYA /IPUT →for details, click HERE
    10:00-11:30 am JST, December 20
    “Lattice QCD and Machine learning”
  • [finished] Taro HITOSUGI /The University of Tokyo・Tokyo Institute of Technology →for more details, click HERE
    5:00-6:30 pm JST, January 17
    “Machine learning and robots change the way of our research”
To receive the Zoom invitation and monthly reminders, please register via this google form: https://forms.gle/dqxhpsZXLNYvbSB38
Your e-mail addresses will be used for this purpose only, you can unsubscribe anytime, and we will not send more than three e-mails per month.
Tilman Hartwig, Ken Nakanishi, Shinichiro Akiyama and Takashi Takahashi
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