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 ...

We’ll start with the most far-reaching addition, which the spec describes as “a new Iterator global with associated static and prototype methods for working with iterators.” The most exciting part of ...

I'm a software developer and writer, passionate about learning and sharing knowledge and one way I do that is through writing. I'm a software developer and writer, passionate about learning and ...

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: 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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Abstract: We propose a novel characteristic basis function method (CBFM) for analyzing the scattering by dielectric objects based on the Poggio–Miller–Chang–Harrington–Wu–Tsai (PMCHWT) formulation. In ...