BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Lattice (or grid) graphs, commonly used in scientific computing, offer a simpler structure to tackle this novel problem. Here, we propose analytical models with tight bounds on the coordination, ...

By employing reinforcement learning algorithms, the system continuously refines its model based on learner feedback and past interactions. The introduction of cognitive graphs enhances the system’s ...

This is a tutorial book on reinforcement learning, with explanation of theory and Python implementation. Theory: Starting from a uniform mathematical framework, this book derives the theory and ...

The flags.yaml file controls various aspects of the SEMMA model and experimental runs. Here's a breakdown of the key flags: run: Specifies the model to run.Can be ultra (baseline) or semma (our ...

Protein redesign is an enzyme engineering strategy that enhances a template enzyme’s properties by introducing mutations. Although the method is broadly employed for enzyme design, finding optimal ...