Los Alamos is applying computational methods, approaches, applications, and technologies to accelerate fundamental and applied computational and data science R&D efforts, including artificial intelligence and machine learning (AI/ML), to pursue the development of next-generation computing platforms and collaborate on large-scale simulations of physical systems.
Developing breakthrough efficiency paradigms that optimize computational performance and improve analytic workflow using extremely large data repositories.
Applications include:
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:
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:
Collaborate to advance AI, ML, and cybersecurity research and enhance computing platforms through simulation.
Leverage new materials and manufacturing processes to improve the performance of products and materials.
Enhance space control through asset identification, modeling, and data analysis for space applications.
Pioneer the future of biosecurity through innovative vaccines, therapeutics, bio-surveillance and biofuels.
Create sustainable solutions with our expertise in nuclear, hydrogen, emissions reduction, and alternative energy.