Research
At GLOW.AI, we are interested in learning and optimization on data-centric AI, collaborative AI, automated AI, and AI for science problems, their applications to LLMs & MLLMs, among others. See below for the research themes we work on.
Data-Centric AI
Data selection, data valuation, knowledge distillation, data attribution, machine unlearning, data ownership, domain generalization
Agents in ML
Federated learning, collaborative ML, incentives, reinforcement learning
Automated AI
Active learning, Bayesian & zeroth-order optimization, neural architecture search, meta-learning
AI for Science
Experimental design, physics-informed ML, quantum ML, precision agriculture
Recent News
See the list of our publications here.