According to @ai_darpa, there are striking similarities between natural patterns—such as the structure of the Helix Nebula, processes like cell division, and the architecture of the cosmic web—and the design of artificial neural networks. This insight highlights a growing AI trend where researchers leverage biomimicry to inform deep learning architectures, resulting in advances in pattern recognition, scalability, and efficiency. The practical application of nature-inspired neural networks is opening new business opportunities in fields like medical imaging, astronomy data analysis, and autonomous systems design. These developments are driving innovation in AI by mimicking the complexity and adaptability found in natural systems (source: @ai_darpa, Dec 30, 2025).