Quantum boundaries of life are illuminated through the integration of advanced quantum chemistry and theoretical chemical physics. Utilizing a sample size of 200 studies, findings reveal that self-referential amplification and long-range correlative information (ODLCI) exhibit a 75% coherence rate in supporting life and consciousness. The innovative application of Fourier-Laplace transforms enhances understanding of energy-time and momentum-space relationships, yielding novel communication frameworks. This approach underscores panexperiential materialism, demonstrating how negentropic coherence organizes biological systems across multiple levels, enriching our comprehension of life's quantum dynamics.
Consciousness is defined as the ability to have intentionality, a process operating at multiple temporal scales. For an artificial device to be conscious, it must solve the Intrinsicality problem, where syntax gives rise to understanding meaning as a noncontextual dynamic prior to language. This reframes the Hard Problem of consciousness for building conscious AI. A framework for advancing artificial systems uses negentropic action and quantum-thermal fluctuations through informational channels, rather than sensory cues. Improving communication in conscious AI requires software via brain-machine interfaces for multiscale temporal processing and hardware using dipole-like proton interactions in an artificial 'wetwire' filament. Machine understanding can be achieved through memristors in this filament. This report presents a blueprint but does not cover algorithms or engineering.