Generative reasoning, multimodality, and model-driven cognition.
Generative and reasoning systems are one of the core topic programs in the intelligence pillar of Neuroide. This topic covers generative models, reasoning systems, multimodality, orchestration, observability, and the engineering trade-offs involved in turning learned models into decision tools and interactive systems.
Search, tool use, verifier-guided inference, structured workflows, and adaptive compute.
Autoregressive models, diffusion, latent-variable generation, controllability, and sampling behavior.
Vision-language systems, cross-modal grounding, retrieval, and generative interfaces.
Serving, orchestration, evaluation, observability, and product-level engineering trade-offs.
Multimodal Diffusion in Latent Space: Theory, Architectures, and Research Frontiers
Latent diffusion theory, multimodal alignment choices, shared versus factorized latent spaces, and current research frontiers across image, video, medicine, and robotics.
Multimodal Biosignal Foundation Models
A related multimodal systems article on reusable latent representations, missing-modality robustness, and generalizable health inference.