A network flow is a data entity that contains information related to a unidirectional sequence of packets on an IP network. Comprised of source and destination port and IP address information as well ...

SANTA CLARA, Calif.--(BUSINESS WIRE)-- Arista Networks, Inc (NYSE: ANET), an industry leader in data driven client to cloud networking, today announced a new network observability software offering ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs What makes Google Google? Arguably it is machine ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Author’s note: This article shows how to derive circuit gain equations via a signal flow graph. With practice you may be able to write a gain equation by locating signal paths and loops in the ...