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Novel Bio-computing Paradigms
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1Quantum Revolution& Advanced AI2HumanAugmentation3Eco-Regeneration& Geo-Engineering4Science& Diplomacy1.11.21.31.42.12.22.32.43.13.23.33.43.54.14.24.34.44.5HIGHEST ANTICIPATIONPOTENTIALAdvancedArtificial IntelligenceQuantumTechnologiesBrain-inspiredComputingBiologicalComputingCognitiveEnhancementHuman Applications of Genetic EngineeringRadical HealthExtensionConsciousnessAugmentation DecarbonisationWorldSimulationFuture FoodSystemsSpaceResourcesOceanStewardshipComplex Systems forSocial EnhancementScience-basedDiplomacyInnovationsin EducationSustainableEconomicsCollaborativeScience Diplomacy
1Quantum Revolution& Advanced AI2HumanAugmentation3Eco-Regeneration& Geo-Engineering4Science& Diplomacy1.11.21.31.42.12.22.32.43.13.23.33.43.54.14.24.34.44.5HIGHEST ANTICIPATIONPOTENTIALAdvancedArtificial IntelligenceQuantumTechnologiesBrain-inspiredComputingBiologicalComputingCognitiveEnhancementHuman Applications of Genetic EngineeringRadical HealthExtensionConsciousnessAugmentation DecarbonisationWorldSimulationFuture FoodSystemsSpaceResourcesOceanStewardshipComplex Systems forSocial EnhancementScience-basedDiplomacyInnovationsin EducationSustainableEconomicsCollaborativeScience Diplomacy

Sub-Field:

1.4.4Novel Bio-computing Paradigms

Impressive as today’s supercomputers are, they remain “Turing machines”: processors that perform the kinds of mathematical operations that humans can do, albeit exponentially faster and on a massive scale. Turing machines have particular limitations: there are computations that they cannot perform. However, biocomputing may not suffer these constraints. It is highly likely that bacterial networks can be encouraged to self-organise into arrangements that compute in ways that go beyond traditional Boolean logic implementations, and beyond what Turing machines can achieve.
These computations will inspire new, supra-Turing models of computation and information processing and may lead to an era of “cellular supremacy”, where biological networks solve problems that are intractable to traditional computation models.12 It may also be possible to create “hybrid” architectures that interface cellular systems with traditional silicon-based computers, creating a different form of computational advantage.13 The ability to compute in the presence of noise, and with analogue signals, may also give biology an edge over digital Turing machines.

Future Horizons:

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5-yearhorizon

Metabolic computation begins to show promise

Research unpicks mechanisms behind whole-cell interactions that create pathways towards useful analogue metabolic computing.

10-yearhorizon

Biological computations reflect neural processing

Investigations of programmable analog cellular processing in noisy environments give insights into mind-like states.

25-yearhorizon

The era of biological quantum computation begins

Biological computation combines with quantum biology research to create interesting and potentially fruitful new approaches to information processing.

Novel Bio-computing Paradigms - Anticipation Scores

How the experts see this field in terms of the expected time to maturity, transformational effect across science and industries, current state of awareness among stakeholders and its possible impact on people, society and the planet. See methodology for more information.

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