Pacific Northwest National Laboratory is leading efforts to address next-generation computing’s critical role in protecting the nation from cybersecurity threats.
Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.
In one of the largest blockchain grid-cyber projects of its kind, PNNL is working with a network of industry partners to test and demonstrate blockchain’s ability to increase the cybersecurity resilience of power grid.
Scientists created a fast-track tutorial that equips a neural network to tackle drug discovery and other applications where there's a shortage of precisely labeled chemical data.
In November, Northeastern University Seattle (NU-Seattle) hosted "Smart Cities: Critical Infrastructure Protection" to explore technology and policy opportunities and challenges facing the smart city evolution.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
Monitoring the activity within a network in real-time can allow cybersecurity staff to detect cyberattacks quickly, before thieves steal data or crash your system.
The FLOWER software app, named because it inspects network flows, or conversations between computers, can be deployed using a passive network tap anywhere in the enterprise to fight cybercrime.