When Students Shape the Science
Six graduating researchers, six intellectual arcs, and one evolving lab vision spanning data, governance, alignment, fairness, self-improvement, and physical AI.
Read the story →Notes from the work
Research stories, lessons from building the academic community, and context that does not fit inside a paper abstract.
Six graduating researchers, six intellectual arcs, and one evolving lab vision spanning data, governance, alignment, fairness, self-improvement, and physical AI.
Read the story →Self-improvement belongs not only inside the model, but also in the infrastructure that controls thinking, action, evaluation, and workflow composition.
Read the story →Why the next generation of robot world models may depend less on bigger pixel predictors and more on compact, structured representations of interaction.
Read the story →The candid story of turning a research question about image-watermark robustness into a live NeurIPS competition—and the under-recognized service work behind it.
Read the story →Six papers spanning fairness under distribution shift, robust reinforcement learning, distributed training, model invariance, and trustworthy machine learning.
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