Technology Convergence Report 2025

Bio-inspired processing Bio-systems represent the emerging approach to computational architecture that mimics nature’s most sophisticated information processing system – the human brain itself. This would be a fundamental shift from traditional von Neumann architectures. The integration of neuromorphic computing with biological principles is opening new frontiers in energy-efficient, adaptive computing that could potentially handle complex tasks with a fraction of the power consumption of traditional systems. By using AI-driven, in-memory computing and edge AI, these systems are better at real-time learning, pattern recognition and adaptive decision-making. 1 2 42 3 2 22 Bio-inspired processingBio-inspired processorsCognitive computing Neural networksNeuromorphic computing In-memory computing Edge AI BiocomputingBioinformatics Technology domain Artificial intelligence Omni compute Engineering biology Maturity level 3 Product4 Commodity 1 Genesis2 Custom-builtN Industry Company Outcomes High-tech industrySynSenseNeuromorphic edge processors can deliver real-time intelligence with ultra-low power for consumer tech, robotics, IoT and autonomous systems. Automotive industryBrainChipNeuromorphic edge AI for automotive applications delivers real-time processing of light detection and ranging (LiDAR), radar and camera data to enable advanced driver- assistance systems. Technology Convergence Report 19