Criteria for Resolution:
1. Functionality of AI: An AI system must be developed that can take a textual description of a nanomachine's requirements and produce a polymer sequence that folds into a functional nanomachine meeting those specified requirements. The system must not work perfectly or reliably, but must work well enough to be adopted by academia and/or industry to some extent.
2. Demonstration of Capability:
- The AI must generate polymer sequences based on textual input.
- The generated polymer sequences must fold into the intended nanomachine structures well enough.
- The resulting nanomachines must function as specified in the textual input often enough.
3. Verification and Validation:
- Peer-Reviewed Publications: The functionality of the AI must be documented in peer-reviewed scientific journals, demonstrating successful and consistent outcomes.
- Industry Adoption: The AI technology must be adopted by research institutions and/or companies in the field of nanotechnology or materials science, indicating practical usability and acceptance.
Clarifications:
- Textual Description: A plain language description outlining the specific requirements and functionalities of the desired nanomachine.
- Polymer Sequence: A sequence of monomers (e.g., amino acids, nucleotides, or synthetic polymers) that will fold into a three-dimensional structure forming a functional nanomachine.
- Nanomachine: A nanoscale device capable of performing specific tasks or functions as defined in the textual description.
- Explanation For “Often Enough” and “Well Enough”: The system must work “well enough” and “often enough” to be reasonable for use in research and development. Specifically:
• Often Enough: The AI-produced polymer sequences must fold correctly and meet the specified requirements a sufficient number of times to be considered viable for practical use. Even if the success rate is as low as 1 in 100, it qualifies as “often enough” if the cost to synthesize the sequences is negligible compared to the cost of developing the nanomachine manually.
• Well Enough: The quality of successful outcomes must be high enough to make the system a practical tool in the research and development process, leading to industry adoption. Even if the system does not return sequences that fully correspond to text description, but these sequences still do something roughly relevant to the intended goal described in the input text and they are found to be efficient/profitable for research and/or business, this system qualifies.