Lawrence Livermore National Laboratory (LLNL) has established an incubator program to develop large-scale scientific and commercial applications for Artificial Intelligence (AI).
According to the LLNL, the AI Innovation Incubator, or AI3 for short, is intended to bring together experts in artificial intelligence from industry and science.
LLNL has letters of intent with Google, IBM and NVIDIA, a leading provider of graphics processing units (GPU), with plans for collaborative “hubs” to accelerate the development of AI for applied science applications.
Several existing projects will also come under the umbrella of AI3, according to LLNL, including continued collaboration with Hewlett Packard Enterprise and Advanced Micro Devices to demonstrate the power of AI and high performance computing (HPC) on the El Capitan supercomputer, which is considered to be the most powerful supercomputer in the world when fully deployed in 2023.
LLNL hopes other companies and research universities will join the collaboration to pursue advanced materials design, 3D printing, predictive biology, energy systems, “self-propelled” lasers and fusion energy research.
“We want this incubator to be a place where industry, academia and the laboratory can come together, promote ideas, develop projects and develop a shared vision,” said Brian Spears, LLNL physicist and AI3 director. “This is about bringing bright minds with different views together to work on meaningful problems in a way that no one else can. AI is such a rapidly evolving field that having these hubs as vehicles to quickly bring the most important and exciting new ideas in from outside the lab and vice versa is vital. “
LLNL expects projects developed by AI3 to include advanced AI and statistical tools to improve predictive models for scientific applications, apply molecular design methods used in drug discovery to the development of new classes of materials, computer hardware with simulation couple to self-driving scientific facilities capable of making autonomous experimental decisions, and pursuing advanced AI methods for creating detailed computer models of 3D printing and advanced manufacturing processes.