Nachi Stern (@SternNachi) profile picture

Nachi Stern

@SternNachi

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

 Amsterdam, NL
web.sas.upenn.edu/nachis/
Joined June 2020
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Photo by Nachi Stern (@SternNachi)Photo by Nachi Stern (@SternNachi)Photo by 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) - journals.aps.org/prapplied/a…

Experimental demonstration of coupled learning in elastic networks

Coupled learning is a contrastive local learning scheme for tuning the properties of individual elements within a network to achieve desired functionality of the system. It takes advantage of physics...

journals.aps.org
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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 pnas.org/doi/10.1073/pnas.23…
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💥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! 🧠 jobrxiv.org/job/new-york-uni…
Postdoctoral Associate in AI for Bioinformatics at New York University

Postdoctoral Associate in AI for Bioinformatics at New York University

Post a job in 3min, or find thousands of job offers like this one at jobRxiv!

jobrxiv.org
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"Soft Matter - Concepts, Phenomena & Applications" is out, the wonderful new textbook by Wim van Saarloos, Vincenzo Vitelli & Zorana Zeravcic. softmatterbook.online/ The book is the ultimate answer to those confronted with the question of how to teach Soft Matter. A Master Piece
Image from Detlef Lohse (@detlef_lohse)
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Very cool work showing how learning may manifest in epithelial tissues!
Sadjad Arzash (@SadjadArzash) profile pictureSadjad Arzash@SadjadArzash27 Mar 2024
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: arxiv.org/abs/2312.11683
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An endless domino effect youtube.com/watch?v=yq1yT6a3… Out in @Nature nature.com/articles/s41586-0…
An endless domino effect

An endless domino effect

Paper: Non-reciprocal topological solitons in active metamaterials ...

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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! amolf.nl/news/amolf-welcomes…
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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: nature.com/naturecareers/job…
Assistant professor in experimental soft matter, tenure track (1.0 fte) - Leiden (Gemeente),...

Assistant professor in experimental soft matter, tenure track (1.0 fte) - Leiden (Gemeente),...

Selection criteria Ph.D. in physics or closely related area A publication record that demonstrates the skills and interest of the applicant Excellent

nature.com
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📢Today at #APSMarchMeeting, join our exciting invited session on Autonomous learning machines (meetings.aps.org/Meeting/MAR…), 3PM \ Auditorium 1, for excellent talks on the physics of learning @APSphysics @ApsGsnp @ApsDsoft @ApsDbio @APSDataScience
Image from Nachi Stern (@SternNachi)
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*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 mcmahon.aep.cornell.edu/aspe… - thanks again to everyone who participated! 1/
Image from Peter McMahon (@peterlmcmahon)
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Looking forward to #APSmarchmeeting, Minneapolis next week! This time we have an amazing invited symposium lined up on Tuesday: K43 - Autonomous Learning Machines (meetings.aps.org/Meeting/MAR…). Come and hear the latest research on physical machines that learn on their own!
Autonomous learning machines

ALT Autonomous learning machines

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I'd like to thank the sponsoring APS units, @ApsGsnp @ApsDsoft @ApsDbio @APSDataScience. The session will also be live streamed for all conference participants.
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Could you train your physical self-learning machine to not only minimize error on a task, but also its own power consumption? Our new work at @aplmachinelearn. Joint work with Sam Dillavou, Dinesh Jayaraman, Doug Durian and Andrea Liu. pubs.aip.org/aip/aml/article…
Training self-learning circuits for power-efficient solutions

Training self-learning circuits for power-efficient solutions

As the size and ubiquity of artificial intelligence and computational machine learning models grow, the energy required to train and use them is rapidly becomin

pubs.aip.org
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Physical systems can develop soft modes to perform the tasks they are trained for, becoming more conductive and effectively lower dimensional. In a sense, they become what they learn. Our new paper at @PhysRevE, with Andrea Liu and Vijay Balasubramanian.
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Excited and honored to present the SLAAM talk tomorrow! It's been one of my favorite seminar series.
UC Merced Physics (@UCMercedPhysics) profile pictureUC Merced Physics@UCMercedPhysics9 Feb 2024
We are pleased to announce that the first SLAAM talk of Spring 2024 will be given by Dr. Menachem (Nachi) Stern (UPenn)! Title: Learning without neurons in physical systems Date and Time : Monday, Feb 12, at 9 am PT/12 noon ET
Image from UC Merced Physics (@UCMercedPhysics)
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Nonequilibrium activity may provide a surprisingly general way to improve the ability of a system to store and retrieve memory. Read go.aps.org/46MbQDd @UChiChemistry @suri_lab #PRXjustpublished #openaaccess
Image from Physical Review X (@PhysRevX)
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PRX Life 1, 023004 (2023) - Emergence of Single- versus Multi-State Allostery journals.aps.org/prxlife/abs…
Emergence of Single- versus Multi-State Allostery

Emergence of Single- versus Multi-State Allostery

In this study, the authors introduce an abstract model that describes the origins of multi- and single-state protein allostery, demonstrating how evolution might favor the former.

journals.aps.org
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Announcing our focus session "Learning and Memory in Adaptive Physical Systems" at @APSMeetings #apsmarch2024, 03.01.15 sponsored by @ApsGsnp, ApsGDS ! Latest exciting insights on physical learning and memory. Submit abstracts by Oct 20! Organizers: Sam Dillavou, Menachem Stern
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Exciting opportunity for postdocs at UChicago, physics of living systems. I loved it there, and chances are you would too!
Arvind Murugan (@murugan_chicago) profile pictureArvind Murugan@murugan_chicago14 Sep 2023
Indeed, new and exciting opportunities at Chicago for physics+math of living systems. Related and time sensitive: two independent postdoc fellowship opportunities - apply or contact me/others for more info: centerforlivingsystems.uchic… nitmb.org/nitmb-fellows-info…
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"The National Science Foundation has awarded $15.5 million to researchers at the University of Chicago over six years to establish a new field of physics that focuses on how living matter can store, retrieve, and process information." @UChicagoNews news.uchicago.edu/story/nsf-…
NSF to establish $15.5M Center for Living Systems at the University of Chicago

NSF to establish $15.5M Center for Living Systems at the University of Chicago

Center aims to establish a new field of physics to understand adaptation in living matter

news.uchicago.edu
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