(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...

Santa Clara, Calif. — Agilent Technologies Inc. has announced the availability of a new gain compression application (GCA) for its PNA-X network analyzer. This new application provides fast, accurate ...

In Web applications, client response time and latency represent challenges for network and systems administrators. Content compression is one of the most popular methods used to get content from the ...

Wide-area network optimization has become an important technique to improve the performance and throughput of all sorts of networked applications, including some applications that depend on ...

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 ...