Author Archives: Christof Teuscher

NANOARCH 2022: CFP and Call for Special Sessions

NANOARCH 2022: 17th IEEE/ACM International Symposium on Nanoscale Architectures

Dec 7-9, 2022 (VIRTUAL)

http://nanoarch.acm.org

Call for Papers & Call for Special Sessions

NANOARCH is the annual cross-disciplinary symposium for the discussion of novel post-CMOS and advanced nanoscale CMOS directions. The symposium seeks papers on innovative ideas for solutions to the principal challenge faced by integrated electronics in the 21st century: “How to design, fabricate, and integrate nanosystems to overcome the fundamental CMOS limitations?”

Important dates:

  • Special session proposals due: Jul 31, 2022
  • Special session notification of acceptance: Aug 7, 2022
  • Regular/special session paper submission: Aug 31, 2022
  • Notification of acceptance: Oct 20, 2022
  • Final version due: Nov 1, 2022

For more details, see http://nanoarch.acm.org

NEW PAPER: “Revisiting the Edge of Chaos: Again?”

C. Teuscher. “Revisiting the Edge of Chaos: Again?Biosystems 18:104693, 2022, https://doi.org/10.1016/j.biosystems.2022.104693

Abstract: Does biological computation happen at some sort of “edge of chaos”, a dynamical regime somewhere between order and chaos? And if so, is this a fundamental principle that underlies self-organization, evolution, and complex natural and artificial systems that are subjected to adaptation? In this article, we will review the literature on the fundamental principles of computation in natural and artificial systems at the “edge of chaos”. The term was coined by Norman Packard in the late 1980s. Since then, the concept of “adaptation to the edge of chaos” was demonstrated and investigated in many fields where both simple and complex systems receive some sort of feedback. Besides reviewing both historic and recent literature, we will also review critical voices of the concept.

Samyak wins 2022 KATU News Innovation Challenge

tlab intern Samyak Shrimali won the 1st prize at the 2022 KATU News Innovation Challenge for an AI-based app to diagnose crop diseases and mitigate food insecurity.