Yes, balancing accuracy and efficiency is possible, but it requires careful optimization. Techniques like self-assembly can offer high precision with relatively low resource input. Advanced computational models can also predict and optimize the outcomes, balancing the trade-offs more effectively. Hybrid approaches that combine different techniques can also help achieve a desirable balance.
