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AnimaAnandkumar's profile
Prof. Anima Anandkumar
Prof. Anima Anandkumar
Prof. Anima Anandkumar
@AnimaAnandkumar

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Prof. Anima Anandkumar

@AnimaAnandkumar

Director of #AI #research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #Sloan fellow #Tensors Erdos #2 #dancer http://anima-ai.org 

Santa Clara, CA
tensorlab.cms.caltech.edu/users/anima/
Joined October 2014

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    1. Sabine Hossenfelder‏Verified account @skdh 23 Jan 2019
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      For 30+ years, particle physicists' predictions for where breakthrough discoveries are waiting have been wrong. False promises based on such flawed predictions erode trust in physics - and science in general. Particle physicists should fix this problem.https://www.nytimes.com/2019/01/23/opinion/particle-physics-large-hadron-collider.html …

      29 replies 82 retweets 200 likes
    2. Prof. Anima Anandkumar‏ @AnimaAnandkumar 23 Jan 2019
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      Replying to @skdh

      1) I recently visited a "big" high energy accelerator (don't want to reveal since I actually admire people working there). I was taken aback at shoddy data preservation practices. It is astonishing that data from experiments that cost billions of dollars are never logged

      2 replies 2 retweets 19 likes
    3. Prof. Anima Anandkumar‏ @AnimaAnandkumar 23 Jan 2019
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      Replying to @AnimaAnandkumar @skdh

      2) Instead of preserving raw data for future analysis, only functions of data are stored. These functions are computed using decades-old Fortran code and no one truly understands what is going on. And how were these functions designed? more sociological phenomenon than scientific

      5 replies 0 retweets 7 likes
      Prof. Anima Anandkumar‏ @AnimaAnandkumar 23 Jan 2019
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      Replying to @AnimaAnandkumar @skdh

      3) Computation and infrastructure is treated as a stepchild in physics to a big detriment. While so much effort is spent ensuring every part of accelerator is calibrated, on data side, it feels like the wild west.

      11:21 PM - 23 Jan 2019
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      • Sabine Hossenfelder
      1 reply 0 retweets 1 like
        1. New conversation
        2. Prof. Anima Anandkumar‏ @AnimaAnandkumar 23 Jan 2019
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          Replying to @AnimaAnandkumar @skdh

          4) @skdh talks about spurious discoveries due to noise. Statistical techniques of multiple testing and false discovery rates deal with this. Although not completely bullet proof (as seen in genome wide studies fiasco) can be a start. Did papers use such techniques? @SaltyBurger

          5 replies 0 retweets 0 likes
        3. Maurizio Pierini‏ @xmpierinix 24 Jan 2019
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          Replying to @AnimaAnandkumar @skdh @SaltyBurger

          False HEP discovery claim I remember: Dama (but the effect is true. The interpretation was wrong) and superluminar neutrinos (a cable issue). None at LHC just because the threshold is high (5 sigmas after trial factor). See 750 GeV diphoton (never claimed a discovery)

          0 replies 0 retweets 0 likes
        4. End of conversation

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