The Collective Learning Workshop starts this Friday, April 29th at 14:00 CEST #ICLR2022. You can find the program👉 https://t.co/yzeuDaVK7r
Do you have a question for our speakers? Reply here or use this form:
https://t.co/wL88Rfm4Zs
If you missed the #ICLR2022@cells2societies workshop, you can catch it through the links below 1/2
🎙️ Workshop Recordings:
https://t.co/Tal28oNaOb.
This is available to registered attendees only and should become available to the public after May 30.
@blaiseaguera thinks predicting well on sparse-training data setting is essentially understanding.Also, supervised learning is basically meta-learning in the sense that it builds on itself. @cells2societies@iclr_conf
New machine ecologies:from flash crashes to smart contracts by David Wolpert. Many interacting-algorithm systems have collective states that aren't built-in, can't be know in advance, and yet are likely susceptible to covert, controlled perturbations😬@cells2societies@iclr_conf
flash crashes: how a collective of extremely simple agents working at an extremely fast time scale burned trillions of dollars in a process that is not yet understood (David H. Wolpert) @cells2societies#ICLR2022
Had a terrific time discussing cultural learning in natural + artificial systems + hourglass emergence w/ @mc_mozer, @C_A_Caldwell + Ted Chiang at a @cells2societies workshop run by @thefillm + @AfanasjevaOlga. Below, Turing on pointing, from Ted’s talk.
https://t.co/h899aplX0W
Correctly recognizing the level of agency of the system will impact how good your predictions about that system are. @drmichaellevin@cells2societies#ICLR22
Tune in now for knowing more about Michael Levin's research: collective learning, multi-level agency and about biological mechanisms for self-organization and collective intelligence. @cells2societies@drmichaellevin#ICLR2022#ICLR22