Quantum-biological hybrid AI is a proposed architecture joining living neural or cellular computation, conventional artificial intelligence and quantum processors in systems where each substrate perfo…
Quantum neuroengineering combines quantum sensors, computation, and materials for neural measurement and interfaces. Human evidence is strongest for OPM-MEG; NV sensing, QML, and quantum-dot interface…
Generative AI applied science is the emerging discipline of using generative models to propose hypotheses, molecules, materials, experiments, simulations and scientific explanations while requiring tr…
Quantum emotional intelligence is a proposed field combining affective computing, quantum-inspired probability models and, where justified, future quantum processors to represent emotional ambiguity…
Artificial metacognition systems are proposed AI architectures that monitor their own knowledge, uncertainty, goals, strategies and failure modes and can change course or request help when confidence…
An evidence-led assessment of how quantum algorithms are being tested in sequence analysis, genome assembly, RNA folding, protein design, and omics—and why practical quantum advantage remains unproven…
