Multi-Modal AI Processing

Hand.ai's core innovation lies in its hybrid neural engine, combining three state-of-the-art AI technologies:

NeRF-Transformer Fusion

• Achieves 60% faster convergence than pure NeRF implementations through attention-based feature extraction

• Dynamic voxel compression reduces GPU memory requirements by 40%

Diffusion-Controlled SDF

• Signed Distance Fields guided by stable diffusion models enable high-fidelity surface generation

• Patent-pending "Style Transfer via Latent Space Interpolation" (USPTO #2024-xyz)

On-Chain Verification Layer

• zk-SNARK proofs validate generation parameters without exposing raw training data

• Immutable creation records stored as Solana account metadata