AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer more quickly. When you purchase through links on our site, we may earn an ...

Sharing a database is the greatest sin when you architect Microservices yet Space-Based Architecture is built around shared data. How do these approaches coexist? Do Microservices make any sense if ...

This project was conducted by my group, consisting of four members, for the course Data-Oriented Programming Paradigms Course website, with the objective of identifying the conditions associated with ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

Phlex is a computing framework supporting the parallel, hierarchical, and layered execution of data-processing algorithms. It is based on the functional-programming paradigm, thus guaranteeing ...

Pointers are ubiquitous in modern object-oriented programming languages, and many data structures such as trees, lists, graphs, hash tables, etc. depend on them heavily. Unfortunately, pointers can ...

Abstract: Parallel computing has become the dominant paradigm in computer science, mainly in the form of multi core processors. One software approach for parallel programming, is writing programs in ...