Artificial intelligence is the most powerful system that can affect America’s security, well-being, and global leadership. The security agencies of the American giant must develop and implement new systems that allow them to defend themselves against artificial intelligence in the event of receiving an attack.
However, the technology used today for artificial intelligence is insufficient for specialized and high-impact missions of national security. Therefore, two different US agencies have come together to develop the next generation of artificial intelligence: The National Nuclear Security Administration (NNSA) and the National Laboratories of the Department of Energy.
The next level in security
Homeland Security agencies must leverage the NNSA’s next-generation artificial intelligence research and development to accelerate NNSA innovation and enable a force ready for artificial intelligence. The artificial intelligence revolution is dominated by deep learning-based systems trained with vast data sets of generic images and text examples. This means that the most interesting data sets, such as those for national security, push these technologies beyond the performance and limits of their intended use.
The deep neural networks in these artificial intelligence systems are based on assumptions of balanced data sets with evenly distributed examples; The orientation is assumed not to exist because the data sets are very large and the data items are represented in uniform proportion. The mission is to develop science-based technologies and capabilities for nuclear proliferation detection missions, AI opportunities and requirements are shared for missions across national security. Next-generation AI techniques, models and technologies should be adopted as standard practice by national security agencies in building AI systems for national security missions.
Next-generation AI researchers are developing methods to build robust and useful models from faulty data, including domain-aware AI models and architectures, methods for merging data from multiple sources, and approaches to leverage synthetic data.
Rather than strictly relying on data, artificial intelligence for national security should use domain-aware artificial intelligence methods: computational techniques to combine data with modeled predictions and simulations, input from human operators or subject matter experts, and information from the environment. operational.
Vital to avoid future threats
The US national security company must be able to develop a new artificial intelligence system if it wants to continue to lead the rest of the power such as Russia or China and win the competition against these countries or other threats that may arise in the future. .
Next-generation artificial intelligence researchers are developing methods to combine and analyze data from air, land, sea, space, and cyberspace together. Data fusion requires sophisticated mathematical and computational approaches.
Computer models and unsupervised techniques are often the best option because they can be implemented at scale . The next-generation AI portfolio is advancing the science of data fusion to enable rapid and continuous integration of multi-domain data for mission demands in the modern era, where data fusion is hot.
