When
Mountain Standard Time (Arizona time)
Join our session on CyVerse's capabilities for conventional, as well as advanced machine learning (ML) based applications and analysis pipelines for genotype-to-phenotype science.
If you are new to containers, clouds, machine learning or open science, we'll discuss how to get started with data-intensive analyses, and how to optimize an existing computationally intensive workflow by enhancing its scalability and automation.
For educators, we'll show how CyVerse can help serve your training needs. With more than 100,000 users, CyVerse (www.cyverse.org) has evolved into the open science web-accessible workspace for collaborative, data-driven genomics projects — Learn how to transform your research with CyVerse!
Presentations include:
8:00: Nirav Merchant: Democratizing Access to AI: Doing More with Foundational Models
8:15: Tyson Swetnam: Building Your Own GPTs and LLMs for Research and Daily Productivity
8:30: Jeremy Fischer: Jetstream2 for Cloud Computing
8:45: Baskar Ganapathysubramanian: AI Labs
9:00: Soumik Sarkar: AI Labs
9:15: Anna Feitzinger: DNA Subway, Cloud Compute in the Classroom
See the List of Presentations