Description

Lawrence Livermore National Laboratory (LLNL) is offering the opportunity to collaborate in accelerating artificial intelligence (AI) for applied science, including research in key areas such as advanced material design, 3D printing, predictive biology, energy systems, “self-driving” lasers and fusion energy research.

LLNL has established the AI Innovation Incubator (AI3), a collaborative hub aimed at uniting experts in artificial intelligence (AI) from LLNL, industry and academia to advance AI for largescale scientific and commercial applications. AI3 will lay the foundation for a cohesive view of AI for applied science, built upon LLNL’s cognitive simulation approach that combines state-of-the-art AI technologies with leading-edge high performance computing (HPC). The approach has sparked improvements in models for inertial confinement fusion, predictive biology, advanced manufacturing and other areas.

The AI Innovation Incubator will stimulate new partnerships and enable LLNL, industry and academia to apply state-of-the-art AI methods, hardware and software to significant scientific problems. Additionally, it will provide an infrastructure for the Lab’s AI activities, both internally and externally, and will strengthen LLNL’s primary missions, as advancements made through the Incubator will feed back into the national security enterprise.

LLNL’s capabilities include big-data analytics, computer vision, machine learning, predictive modeling, statistical inference, uncertainty quantification, graph networks, natural language processing, high performance computing, as well as fundamental and applied science capabilities in computing, engineering, and physical and life science disciplines. Our AI3 collaboration hub pillar recognizes that multidisciplinary collaboration as a key component. Working with experts across many domains helps connect our R&D to external stakeholders, opening the door to new opportunities. Datasets from our unique scientific and experimental facilities can be shared with collaborators. We can also provide benchmarks for scientific AI algorithms, methods, and workflows for a range of scenarios: physics-based learning for biology, climate, and fusion energy; molecular generative models for materials and drug discovery; fast, flexible learning workflows for advanced manufacturing and self-driving experimental facilities; and data and computing ecosystems for large-scale scientific AI.

AI3 also aims to grow our technical capabilities by coordinating activities that strengthen LLNL's missions. The AI3 will facilitate the transition of collaboration hub projects to Lab programs, channeling the latter's needs and directions back into the hub and supporting cross-program activities with AI and HPC expertise. Ultimately, to carry out LLNL's institutional AI strategy, we are investing in people, tools, and infrastructure.

To help achieve its goals, AI3 is closely engaged with LLNL’s Data Science Institute, LLNL’s central hub for all data science activity working to help lead, build, and strengthen the data science workforce, research, and outreach to advance the state-of-the-art of our nation's data science capabilities.

For more on the AI Innovation Incubator, visit https://data-science.llnl.gov/ai3.

Collaborators

Working with external partners from industry and academia is crucial for the AI3, for many reasons, and can be a “win” for everyone involved. Most work advancing AI is outside the Lab, and we need to be fully engaged in it. For our part, the Lab can offer important and unique multidisciplinary, funded science applications. We can coordinate multi-partner expertise focused on applications, and we bring visibility and influence with sponsors and government partners. Strong external engagement will help bring new capabilities and tools to Lab programs and missions, as well as build support for LLNL with industry and academic leaders.

We are proud to partner with commercial entities, the ATOM consortium, and academic institutions. We look forward to forming additional collaborations in the coming months. Express your interest in becoming an AI3 collaborator to the contact below.

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