Platform engineering is about making developers’ lives easier. Automating the steps needed to create and maintain infrastructure keeps your developers focused on building software, not keeping the ...

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.

Graph neural networks (GNNs) rely heavily on graph structures and artificial hyperparameters, which may increase computation and affect performance. Most GNNs use original graphs, but the original ...

Safety+ is an open data architecture for agile, transparent programming of safety functions, which adds flexibility in choosing programming languages and data types, enables efficient interaction with ...

Content Data structures and algorithms are fundamental building blocks in almost all software products. Knowledge and skills in data abstraction, data structures, and algorithms are important in the ...

Related: 'Master of deception': Current AI models already have the capacity to expertly manipulate and deceive humans Given a list of molecules, the AI program can show how they fit together.

A research team from MIT introduce a new programming language named ‘Finch’ to address the limitations of existing implementations. Finch aims to bridge the gap between flexible control flow and ...