Nachi Stern

Group Leader \ AMOLF,
Theoretical physicist exploring learning in physical systems. Thinking about how everyday objects can learn cool tricks.

[Nachi Stern @SternNachi]

New paper demonstrating local coupled learning rules, this time in mechanical spring networks. Really nice experiments by Lauren Altman at Penn!

Phys. Rev. Applied 22, 024053 (2024) - https://t.co/mnHCXey7Id

[Nachi Stern @SternNachi]

@doescience @Penn In fact, this system performs both computation and learning in the analog domain, further saving energy on expensive conversions.
A digital computer is only used to supply inputs and read outputs, but even this may not be necessary in future versions of learning machines.

[Nachi Stern @SternNachi]

Paper on our new nonlinear physical learning machine is out. Great work by Sam Dillavou and Benjamin Beyer in making it happen!

Machine learning without a processor: Emergent learning in a nonlinear analog network | PNAS https://t.co/SjIGbF91z4

[Stefano Martiniani @SteMartiniani]

💥Job Alert!💥 Join me and Andre Fenton @aa_fenton at @NYU_CNS @nyu_csmr @nyuniversity to develop multiscale ML approaches to reveal the biomolecular networks responsible for memory storage and persistence in the mammalian brain! 🧠 https://t.co/tOIeIAR02h

[Nachi Stern @SternNachi]

@jdkarmitage Thank you Jack!

Physical learning as a subject has grown significantly in recent years. Some of my go to overview papers currently include
https://t.co/Lq8zy7eSxD
https://t.co/S03M4CbLTN
https://t.co/vaABv4vqfq

[Nachi Stern @SternNachi]

I am delighted to announce I'll be starting a group at AMOLF this summer to study the physics of learning.
We'd like to figure out how physical system can learn on their own, and what happens to them when they do.
PhD and postdoc positions available!

https://t.co/pFhR2YWwCR

[Detlef Lohse @detlef_lohse]

"Soft Matter - Concepts, Phenomena & Applications" is out, the wonderful new textbook by Wim van Saarloos, Vincenzo Vitelli & Zorana Zeravcic. https://t.co/LmfSMDQMXP The book is the ultimate answer to those confronted with the question of how to teach Soft Matter. A Master Piece

[Nachi Stern @SternNachi]

Very cool work showing how learning may manifest in epithelial tissues!

[Sadjad Arzash @SadjadArzash]

1/ Can we study mechanics of biological tissues through the lens of physical learning?
We've investigated how epithelial tissues become fluid through spatial correlations in their cellular properties. See our preprint at: https://t.co/DrXquaQQUx

[Corentin Coulais @CorentinCoulais]

An endless domino effect
https://t.co/kfDVXwmJ2A
Out in @Nature
https://t.co/G1OHjlBeex

[Nachi Stern @SternNachi]

@SteMartiniani Thank you Stefano!

[Nachi Stern @SternNachi]

@takumi_matz Thank you Takumi! You are too kind...

[Nachi Stern @SternNachi]

@ja_steinkuehler Thank you Jan!

[Nachi Stern @SternNachi]

@YaoDu01 Thank you! Looking forward to working together😀

[Nachi Stern @SternNachi]

@suri_lab Thank you Suri!

[Nachi Stern @SternNachi]

@csantangelo314 Thank you Chris!

[Daniela Kraft @DanielaJKraft]

We are looking for a new colleague! 🥳Are you an experimentalist doing cutting-edge soft matter research? And do you want to start your own group in a stimulating environment? 👉Apply now: https://t.co/4nrSzFnqF8

[Nachi Stern @SternNachi]

📢Today at #APSMarchMeeting, join our exciting invited session on Autonomous learning machines (https://t.co/loiXwKJwZU), 3PM \ Auditorium 1, for excellent talks on the physics of learning @APSphysics @ApsGsnp @ApsDsoft @ApsDbio @APSDataScience

[Peter McMahon @peterlmcmahon]

*Computing with Physical Systems*: For those who weren't able to join us in Aspen in January, the invited speaker videos (and some slides) are now available at https://t.co/O8mMDBIu9O - thanks again to everyone who participated! 1/

[Nachi Stern @SternNachi]

I'd like to thank the sponsoring APS units, @ApsGsnp @ApsDsoft @ApsDbio @APSDataScience.
The session will also be live streamed for all conference participants.

[Nachi Stern @SternNachi]

Looking forward to #APSmarchmeeting, Minneapolis next week!
This time we have an amazing invited symposium lined up on Tuesday: K43 - Autonomous Learning Machines (https://t.co/loiXwKK4Ps). Come and hear the latest research on physical machines that learn on their own!