Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...

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 ...

.... std::string r = webview::json_escape(std::string("hello();")); w.eval(r); .... html: .... function hello() { alert(); } .... It doesn't work in C++, but it works ...

Discover how to confidently specify commercial roller shades that deliver both style and performance. This webinar introduces the S.H.A.D.E method - a step-by-step framework for smarter shade ...

Scientists at Weill Cornell Medicine have developed a new algorithm, the Krakencoder, that merges multiple types of brain imaging data to better understand how the brain s wiring underpins behavior, ...

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, ...

A new JavaScript obfuscation method utilizing invisible Unicode characters to represent binary values is being actively abused in phishing attacks targeting affiliates of an American political action ...

The ability to declare a variable as static for a proc etc so global variables don't have to be used and thus stored in the BSS segment affecting efficiency. Closures could be used, at the expense of ...

Integrating human values after model training using Learning-based algorithms requires fine-tuning LLMs, which requires more computational power and is time-consuming. Additionally, it generates ...