This session will cover the ML/DL ecosystem of container-powered technologies and the best ways to get started and accelerate your journey in building, training, deploying, and scaling your models, with the NVIDIA ecosystem software stack. We'll touch on NVIDIA NGC, Docker, Kubernetes, Singularity, and other ways to get started and get going quickly. In addition, this session will cover an overview on how to get started working with OSU HPC Services, if you need an HPC/AI cluster to train, deploy, and inference with larger models.

Join Germano Iannacchione, Director of NSF's Division of Materials Research (DMR), and DMR Program Directors for our monthly Zoom office hour and Q&A session. May's Open Hour will focus on the Faculty Early Career Development Program (CAREER) solicitation. Registration required.

In this session, we'll cover the basics around NVIDIA's Omniverse platform for 3D Design Collaboration and Simulation and the ecosystem of building Digital Twins. We'll touch on not only how to set up and rollout an Omniverse environment, but also how to integrate frameworks, like Modulus (physics simulations) and Isaac (robotics) into Omniverse to visualize your models and research. Whether your work is focused on Engineering, Climate, Biomed, Robotics, Architecture, Natural Sciences, Computer Science, Business, or Data Science, we'll have something for you in this session.

In this session, we'll focus on NVIDIA's Isaac Sim platform, which is an extensible robotics simulator that gives researchers and practitioners a faster, better way to design, test, and train AI-based robots. Isaac Sim is powered by NVIDIA Omniverse and able to deliver scalable, photorealistic, and physically accurate virtual environments for building high-fidelity simulations.

The Berkeley-Stanford Veridical Data Science Workshop is focused on showcasing and promoting veridical (truthful) data science (VDS) for reproducible, reliable data analysis and decision-making. It intends to build a community of veridical data science researchers for trustworthy data science, machine learning, and artificial intelligence. The discussions will promote opportunities for statisticians and data scientists to identify important VDS research topics and critical applications in academia and industry. Graduate students and early career researchers will benefit from this conference to find future research directions. The one-day workshop will take place in person at the UC Berkeley campus. Registration closes Thursday, May 9, 2024. Check out the organizers free book on veridical data science (MIT Press) here vdsbook.com