Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. This study presents a comparative ...

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Abstract: The transferability of adversarial examples allows for the attack on unknown deep neural networks (DNNs), posing a serious threat to many applications and attracting great attention. In this ...

Welcome to the inference code for the paper "Protein Sequence Modelling with Bayesian Flow Networks". With this code, you can sample from our trained models ProtBFN, for general proteins, and AbBFN, ...

"This is one of the most disturbing things we're seeing," an FBI official said. FBI officials say they are growing increasingly concerned about a loose network of violent predators who befriend ...

Discover the key types of network traffic and their role in optimizing performance plus real-world examples to see how they impact data flow. Identifying network traffic types is vital because it ...