One Step, Not One Trick: SOM and the Q-Guided MeanFlow Policy
A mechanism-first analysis of how SOM turns critic gradients into one-step generative policies for online reinforcement learning.
A mechanism-first analysis of how SOM turns critic gradients into one-step generative policies for online reinforcement learning.
A business-focused analysis of why agent guardrails need to revise unsafe plans, not merely block them.
NutriMLLM shows that comprehensive nutrition AI needs specialised supervision, not just bigger vision-language models.
Why inference-time adaptation is becoming both a performance lever and a governance risk.
Trajectory-Refined Distillation shows why repairing failed reasoning paths may matter more than tuning token-level distillation losses.
A business-focused reading of two arXiv papers showing why AI systems must preserve relational state, not merely produce plausible outputs.
A business-focused reading of a hybrid WGAN-GA graph generation paper, showing why synthetic network data often needs discrete topology repair after broad generative modelling.
A mechanism-first reading of how nonlocal neural integral operators use broader spatial and temporal context for fMRI encoding and decoding.
A practical read on three papers showing why production AI reliability depends on managing hidden relationships before the final output appears.
A practical reading of HistoBIT3D and why virtual pathology systems need structural validation, not just plausible stain transfer.