Exoplanet Surveyor
Multi-spectral telescope array fusion across parsec-scale baselines. Coherent signal extraction from 10⁻²³W photon streams with adaptive uncertainty weighting.
Massively parallel epistemic transport engine. Fixed-topology information fusion at deterministic latency. Where spontaneous symmetry breaking meets real-time sensor algebra.
XC7A200T-2FBG484
Synchronous fabric
Saturating arithmetic
Compile-time config
Heterogeneous rates
End-to-end guarantee
Ingress → Normalize → Gate → Transport → Weight → Route → Accumulate
Each morphism is a typed stream transformer with valid/ready handshake. Time monotonicity preserved across heterogeneous sensor domains. Quality flags propagate deterministically through the dataflow graph.
Evidence accumulation in information form: Λ_new = Λ_old + Λ_evidence, η_new = η_old + η_evidence. State recovery via on-chip LDLᵀ solver or host-side inversion.
Multidomain signal processing across extreme environments. From orbital mechanics to neural interfaces.
Multi-spectral telescope array fusion across parsec-scale baselines. Coherent signal extraction from 10⁻²³W photon streams with adaptive uncertainty weighting.
Distributed drone coordination through epistemic consensus. 1000+ agent fusion at <5ms latency over lossy mesh networks.
Real-time Bayesian inference on quantum state tomography data. Continuous belief transport across Hilbert space projections.
96-channel neural spike train fusion into motor intent vectors. Adaptive Kalman transport with cortical plasticity compensation.
Mach 12+ sensor fusion under plasma blackout. Gyro-star tracker-accelerometer transport through non-Gaussian turbulence models.
Xenon TPC event reconstruction with multi-PMT coincidence. Null-result aware evidence accumulation across 10⁶ channels.
Bounded end-to-end delay from sensor input to fused state output. No batch windows. No jitter. Hardware guarantees at fabric level.
Small typed stream transformers with verifiable laws. Time monotonicity. Quality propagation. Fusion associativity up to rounding error.
Gaussian belief representation as (Λ,η) pairs. Additive fusion. FPGA-friendly structured accumulation. Optional on-chip solver for small n.
Q16.16 format throughout. Bounded quantization error. Saturation semantics. Bit-exact golden model verification. No floating-point uncertainty.
© 2025 GOLDSTONE Project. Licensed under MIT.
Math first. Hardware second. Vibes never.