Graph neural networks show promise for detecting money laundering and collusion in transaction webs. ... Real-world examples, ... like the high computational costs of processing large graphs, ...

For example, in the example above, object recognition takes a significant amount of time of processing a single frame, and thus is a candidate for further parallelism and optimization. With the Intel ...

Scott Reeves demonstrates the flow graph feature of the Wireshark tool, which can help you check connections between client server, finding timeouts, re-transmitted frames, or dropped connections.

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.

DENVER & SEATTLE, November 07, 2023--Valid8 Financial, the global leader in Verified Financial Intelligence (VFI) software, today announced the availability of AI Categorization, a new capability ...