Abstract: Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction ...

Abstract: Large language models (LLMs) can achieve superior results through iterative refinement based on internal or external signals, compared to the unstable outputs from a single pass. However, ...

What do e-bikes and laptops have in common? Both can be wirelessly charged by induction. E-bikes and laptops both use lithium-ion batteries for power, chosen for their light weight, high energy ...