Architecting for Tomorrow: Designing Neural Networks with Enduring Ethical and Practical Value
Why Most Neural Networks Fail to Endure: Lessons from 15 Years in the TrenchesIn my practice spanning healthcare diagnostics, financial forecasting, and autonomous systems, I've observed a consistent pattern: approximately 70% of neural networks become functionally obsolete within 3-5 years. This isn't just about technical debt—it's about fundamental design flaws that ignore long-term sustainability. I recall a 2022 project with a major hospital network where we inherited a diagnostic system tha