Technology Convergence Report 2025
Page 27 of 60 · WEF_Technology_Convergence_Report_2025.pdf
Bio-computation platforms
Bio-computation platforms represent a
breakthrough at the intersection of biology and
computation, where biology is not just observed
but used to compute, mimicking certain functional,
structural and physiological aspects of the human brain. This biological computation interfaces
are still nascent but represent a foundational
convergence frontier as they are pushing forward
direct, bidirectional communication channels
between living tissue and electronic systems.
The sophistication of these interfaces is enabling
unprecedented applications in both medical
treatment and human-computer interaction.
1
3 2
2 2
3 4Bio-computation
platformsNeural signal
processing
Pattern recognition
systemsNeuromorphic computing
Real-time processing Biosensors
Biocomputing
BioinformaticsTechnology
domain
Engineering biology
Omni compute
Artificial intelligence
Maturity level
3 Product4 Commodity
1 Genesis2 Custom-builtN
The power of this convergence lies in its ability
to translate complex biological signals into a
computational format that can be processed and acted upon in real time. This combination enables
stakeholders to expand their footprint across the
computing industry value chain.
Industry Company Outcomes
ITCatalog DNA-based data platforms enable ultra-dense, durable, and
energy-efficient storage and computation for long-term digital
information management.
HealthcareCortical
LabsBiological-silicon computing develops faster-learning,
more adaptive AI systems and unlock new capabilities
in cognitive automation.
Technology Convergence Report
27
Ask AI what this page says about a topic: