While WAN-compression solutions have been around for years, new compression advances have resulted in previously unheard of gains in bandwidth savings. Delta compression, commonly referred to as ...

Deep learning network compression techniques have emerged as a crucial research area, aiming to reduce the computational and storage requirements of neural networks without significantly compromising ...

In data communications it is desirable to have faster transfer rates at lower costs. Data compression addresses these demands by reducing the amount of data that must be transferred over a medium of ...

We compress not to shrink data, but to make it cheaper for AI to “think”.

In the never-ending quest for better network performance, two technologies – compression and traffic shaping – are often touted as bringing great advantages to enterprise networks. And while it’s true ...