Advanced Computing, and AI/ML

Developing breakthrough efficiency paradigms that optimize computational performance and improve analytic workflow using extremely large data repositories.

Applications include: 

• Preservation of Posix-compliant access control during user analytics
• Exploiting dark silicon in the network and data storage fabric
• Perfecting predictive software tools for complex physics and environmental simulation

Engaging in theoretical and applied R&D projects designed to advance the state of the quantum sciences, including computer systems, user applications, and fundamental materials.

Applications include: 

• Quantum-enhanced sensing
• Quantum molecular dynamics simulations
• Quantum annealing to accelerate scientific discovery 
• Entanglement methods to reduce errors in quantum computers
• Quantum-based communication devices and cryptography techniques

Creating a variety of machine learning approaches for diverse applications and exploiting supervised, semi-supervised and unsupervised techniques. Applications range from incorporating machine learning into the energy technology development to demonstrating underlying genetic signature of malware, to supporting research via an AI-based natural language understanding and machine learning.

Applications include: 

• Embedding cryptographically secure structure into artificial intelligence and physical systems
• Real-time monitoring 
• Scientific machine learning – mathematical and computational frameworks to exploit scientific data