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Cyber Security
Our signal is a powerful identity tool enabling visibility across networks where Security Operations Centers need to be able to identify threat risks associated with human and machine workflows.
Healthcare
Our novel interface and synthetic, verified data signal is positioned to significantly transform healthcare through:
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A personal data taxonomy/ontology managed by a personal digital twin
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Contextually relevant feedback of human learning through experience as training data for ML systems used in discovering novel treatments
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Emerging federated learning systems that go beyond IoT data collection to include secure, edge computed human cognition providing insights into a persons experience of their disease and treatments transforming patient care
Defense
AI systems that rely heavily on reward-centric training are prone to the risks of self-reinforcing misalignment, reward hacking, and short-termism. Our work is advancing computational methods to ensure AI decisions are transparently rooted in human values and capable of context adaptability, bias mitigation and interpretability. Necessary components for reliable insight into battlefield situational awareness and complex decision making.
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