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
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