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Researchers push for an AI revolution that fuses logic and learning, aiming to build systems that think, reason, and explain—a true meeting of intelligence and understanding.

Unlock neuro-symbolic AI's next leap: HMH packs hierarchical structures—roles, fillers, ontologies—into fixed-size hypervectors for ultra-efficient binding, unbinding, and probabilistic reasoning in PRIMUS architectures. Fast, clean, scalable logic meets neural speed.