This research note explores how AI can support protein analysis, from sequence representation and structural interpretation to drug-binding hypothesis generation for early-stage drug discovery.
This research note explores how an AI-powered persona-driven survey engine can simulate user responses, model synthetic personas, and support structured decision-making through feedback analysis.
This research note explores how reasoning in large language models is evolving from linear chain-of-thought prompting to graph-based Diagram-of-Thought frameworks that support more structured, multi-path reasoning.
Can artificial intelligence learn the behaviour of fluid dynamics from simulation data? This research note explores how AI can support prediction of Rayleigh-Bénard convection using WALRUS and scientific machine learning.
