Biospin
Magnetosome-powered spintronic computation tuned for picojoule energy and adaptive robotics.
Dive deeper →Research Collective
Completed papers capture a vision where relational dynamics, magnetosome spintronics, vortex-informed AGI, and topological invariants converge. Explore the finished scholarship powering the lab's next decade.
Completed papers span bio-spintronic hardware, topological learning theory, relational intelligence, and unified cognitive architectures.
Magnetosome-powered spintronic computation tuned for picojoule energy and adaptive robotics.
Dive deeper →Information vortices stabilize learning and resilience in complex systems.
Dive deeper →Harmonic convergence of neural dynamics, relational topology, and emergence.
Dive deeper →Intelligence as a network of evolving relations across decentralized agents.
Dive deeper →Levi lifts preserve invariants; parity across hypergraph- and graph-based learners.
Dive deeper →Relational papers trace how topology and decentralization spark coherent understanding.
Magnetosome logic with MR-fluid routing targets 10^6× efficiency over GPUs.
Levi lifts conserve clustering and spectra; parity on downstream tasks.
Neural, relational, and emergent layers resonate to produce synchronized intelligence.