This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply generating text, the model decides when to invoke a predefined function, ...

Abstract: Based on the vector fitting method and the ultra-wideband characteristic basis function method (UCBFM), a new method for calculating broadband radar cross sections (RCS) is proposed. Firstly ...

But what is difference between of these two concept? And what are the risks of allowing a method to grow into a full-system? What Is a Method "M"? A "M" can be defined as an approach or a particular ...

Abstract: In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large ...

While we anticipated many of the difficulties we've faced writing Jacobin, one we didn't foresee is how much the JDK relies on native functions. For the time being, we've replaced many of those native ...

Radial Basis Function methods for scattered data interpolation and for the numerical solution of PDEs were originally implemented in a global manner. Subsequently, it was realized that the methods ...