Key Technologies and Development Pathways

AI-Assisted Design and Research

• Launching versatile and self-adapting AI assistants, starting with goal-oriented and coding assistants
• Using them to integrate existing computational chemistry software into a multiscale computational chemistry modeling environment
• Development of AI systems for exploring molecular designs
• Integration of AI design tools with rapid prototyping and testing physical systems

Universal Chemical Processor ("Chemputer")

• Design of a versatile, garage-based chemical synthesis system (see 1 and 2)
• Creation of user-friendly interfaces for non-expert users
• Extending the range of available reactions and synthetic pathways

Molecular Electronics

• In-silico modeling of molecular electronic components
• Development of interfaces between molecular and traditional electronics
• Creation of molecular-scale processing units

Nanoassembler Development

• Research into atomic-scale software-driven manipulation techniques
• Creation of interfaces between nano and macro scales
• Development of safety protocols
• Development of controlled self-replicating capabilities

Health Modeling and Monitoring

• Development of AI health copilot that stays up-to-date with recent health and longevity development
• Integration of multi-omics data (genomics, proteomics, metabolomics) real time data
• Development of AI systems for real-time health analysis
• Creation of actionable health recommendations based on personal data

Next: Challenges