Registration for this event has closed.
A Brief Introduction to GenAI (Google Slides).
MIDAS and the Michigan AI Lab hosted a faculty workshop with the theme of Generative Artificial Intelligence (Generative AI) for research. All faculty members who are interested in deploying Generative AI for their research are welcome.
Generative AI, such as ChatGPT and Bard, use sophisticated algorithms and extensive datasets to autonomously generate content. By leveraging their ability to learn patterns from existing data, generative AI models can provide valuable support in various research domains, aiding researchers by assisting in tasks like writing scientific papers, hypothesizing new ideas, summarizing literature, and providing experimental design and analysis.
This workshop offered a unique launchpad for collaboration and exploration of Generative AI’s impact on research. The workshop features speakers from academia and industry, who presented use cases on Generative AI-faciliated research in a wide range of research fields such as drug discovery and architectural design, as well as technical, ethical and infrastructural considerations for deploying Generative AI in research. Extensive roundtable discussion among attendees were followed. Our aim is to launch interdisciplinary research projects and teams, and generate new insights on the future development of Generative AI and its impact on research.
NEW: See our Generative AI Quick User’s Guide for guidance on how Generative AI can be used in multiple aspects of your research, and our Generative AI Resources page for a curated list of cutting edge Generative AI research, opinion pieces and models.