Project Using AI to Enhance Robotic Surgery and Improve Patient Outcomes Argonne scientists are applying machine learning tools to automate surgery tasks and help improve robotic surgery Computing, Environment and Life Sciences
Project TomoGAN: Deep Learning for Robust X-ray Tomography Scientists have developed a generative adversarial network-based deep learning model for robust tomographic imaging. Photon Sciences
Project Cognitive Computing: Application of AI to Traumatic Brain Injury Argonne has been applying machine and deep learning techniques to build predictive models for diagnosis of traumatic brain injury symptoms. Computing, Environment and Life Sciences
Project Machine Learning Diagnosis and Prognosis of Battery Performance and Health Argonne’s AI-driven approach to diagnosis and prognosis of battery performance and health could help accelerate development and deployment of new energy storage technologies. Computing, Environment and Life Sciences
Project Guiding Materials Design with AI and HPC Argonne is building AI tools that allow autonomous design of new materials. Data Science and Learning
Project Simplifying Usage of Machine Learning Models Argonne develops a simple way to find, share, publish, and run machine learning models and discover training data for science. Data Science and Learning
Project CANDLE: Simulation-Enabled Precision Medicine for Cancer Argonne is leading a collaboration of DOE laboratories and the National Cancer Institute to address cancer research challenges. Computing, Environment and Life Sciences
Project Can Exascale Computers Handle Extreme-Scale Real-Time Science Workflows? Will exascale computers run anticipated experimental science workloads effectively? Data Science and Learning
Project Quantum Computing Developing quantum technologies to revolutionize computing and communication Mathematics and Computer Science
Project Joint Laboratory for System Evaluation Collaboration to evaluate future high-performance computing platforms Mathematics and Computer Science
