Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Bio-inspired computing tissues: towards machines that evolve, grow, and learn.

Christof Teuscher1, Daniel Mange, André Stauffer

  • 1Logic Systems Laboratory, Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015 Lausanne, Switzerland. christof@teucher.ch

Bio Systems
|February 22, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Energy-Efficient Neuromorphic Architectures for Nuclear Radiation Detection Applications.

Sensors (Basel, Switzerland)·2024
Same author

Revisiting the edge of chaos: Again?

Bio Systems·2022
Same author

Reconfigurable perovskite nickelate electronics for artificial intelligence.

Science (New York, N.Y.)·2022
Same author

Shift-symmetric configurations in two-dimensional cellular automata: Irreversibility, insolvability, and enumeration.

Chaos (Woodbury, N.Y.)·2019
Same author

Fast and Accurate Sparse Coding of Visual Stimuli With a Simple, Ultralow-Energy Spiking Architecture.

IEEE transactions on neural networks and learning systems·2018
Same author

Assembly of a 3D Cellular Computer Using Folded E-Blocks.

Micromachines·2018
Same journal

The Quantum-to-Classical Transducer: A Thermodynamic and Quantum Mechanical Framework for the Emergence of Bioenergetics.

Bio Systems·2026
Same journal

Forward-backward gene expression binarization for boolean state inference over a known regulatory network.

Bio Systems·2026
Same journal

Partial-Label Metric Ceilings for Evaluating Gene Regulatory Networks Inferred from Single-Cell Foundation Models.

Bio Systems·2026
Same journal

The impedance mismatch theory: A non-equilibrium thermodynamic framework for a shared energetic stress pathway in neurodegeneration.

Bio Systems·2026
Same journal

Immune signal-status misclassification: A theoretical framework for biological status assignment and failed status resolution.

Bio Systems·2026
Same journal

Contextuality, incompatibility, and intra-system entanglement of mental markers: From cognition and decision making to medicine.

Bio Systems·2026
See all related articles

Bio-inspired computing tissues enable

Area of Science:

  • Computer Science
  • Biomimicry
  • Artificial Intelligence

Background:

  • Biological systems offer models for advanced computing.
  • Existing computing paradigms lack inherent fault-tolerance and self-repair.
  • Bio-inspired design principles can lead to novel machine functionalities.

Purpose of the Study:

  • To introduce bio-inspired computing tissues for creating 'living' machines.
  • To present the Embryonics project and its BioWatch application.
  • To describe the BioWall as a reconfigurable computational tissue.

Main Methods:

  • Overview of bio-inspired systems and the POE model.
  • Description of the Embryonics project's multicellular organization and cellular differentiation.
  • Implementation of BioWatch on the BioWall computational tissue.

Related Experiment Videos

Main Results:

  • Demonstration of fault-tolerant and self-repairing capabilities with BioWatch.
  • BioWall serves as a reconfigurable tissue for large-scale bio-inspired applications.
  • Successful large-scale implementation of BioWatch on BioWall.

Conclusions:

  • Bio-inspired computing tissues are a key concept for 'living' machines.
  • Embryonics project showcases multicellular organization and self-repair.
  • POEtic machines represent a future direction in bio-inspired computing.