Understanding data structures and algorithms is still super important for making software. They're like the foundation for writing code that's quick and scales well, which helps you build better apps.

Twice rejected by Microsoft, a software engineer turned setbacks into the ultimate motivator and aced his third try.

Google AI Mode now supports interactive graphs for financial data right in Search, and it’s a game-changing feature.

Article citations More>> Hedetniemi, J. and Hedetniemi, S.T. (2021) Structures of Domination in Graphs: Domination in Chessboard. Springer. has been cited by the following article: TITLE: On the ...

Graph data mining algorithms rely on graph canonical forms to compare different graph structures. These canonical form definitions depend on node and edge labels. In this paper, we introduce a unique ...

Why AI Success Is About Faster, Smarter Data Movement, Not Just Better Models The assumption that AI breakthroughs stem solely from more sophisticated algorithms or powerful GPUs is flawed. AI ...

This repository contains code for ADTs that I implemented in my Data Structures and Algorithms course. These ADTs include stack, queue, graphs, linked lists, heaps etc.

At its core, Artificial Intelligence (AI) is the product of two components –the first is data and the second is algorithms. Diverse types of algorithms exist, each potentially displaying a level of ...