Abstract: This article introduces a novel approach to data structure visualization through the development of a new programming language, utilizing Python’s Lex-YACC library for lexical analysis and ...

In the race to develop artificial intelligence, tech giants are building data centers that guzzle up water. That has led to problems for people who live nearby. In the race to develop artificial ...

With tuples, we can easily construct special kinds of arrays, where elements are of fixed types with respect to an index or position. Tuples extend the capabilities of the array data type. With tuples ...

We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, one thing is fundamental: AI is only as good as the data it was trained on. Unlike people, who can draw on ...

The aim was to keep the interface as simple as possible. On top of that to provide a type safe way to access elements without having to resort to struct types. Further, this library supports any ...

In the vast world of artificial intelligence, developers face a common challenge – ensuring the reliability and quality of outputs generated by large language models (LLMs). The outputs, like ...

Seventy years after the invention of a data structure called a hash table, theoreticians have found the most efficient possible configuration for it. About 70 years ago, an engineer at IBM named Hans ...

Ever ponder how a juggler can manage to keep numerous balls aloft all at once? It's all about rhythm, timing, and understanding each object's path. Now imagine this juggling act as an analogy for ...