In a notable gathering of minds at Oak Ridge National Laboratory (ORNL), over 200 artificial intelligence (AI) experts and scientists convened for an AI expo dedicated to exploring and integrating advanced AI in scientific research. Key features of the event included keynote addresses, poster presentations, and a practical mini hackathon session, according to an article published on the ORNL news platform.
Prasanna Balaprakash, ORNL’s Director of Artificial Intelligence Programs, highlighted the diversity of the attendees, noting, "This demonstrated the ORNL research community's commitment to leveraging AI’s transformative capabilities to advance science, engineering and national security," Oak Ridge National Laboratory reported. The event offered a hands-on experience with AI models such as OpenAI's o1 and Anthropic's Claude 3.5 Sonnet, and aimed to foster opportunities for collaboration between domain and AI experts.
Within ORNL, prominent figures like Balaprakash, Deputy for Science and Technology Susan Hubbard, and Artificial Intelligence Programs Director Edmon Begoli delivered keynote speeches. External speakers included NVIDIA’s Jean Kossaifi and Amarda Shehu from George Mason University. Appreciating the depth of the research, Begoli told Oak Ridge National Laboratory, “I’m continually impressed by the competence and dedication of our researchers.”
Susan Hubbard opened the event, highlighting ORNL’s leadership in AI's transition into a new era, where reasoning capabilities become central. ORNL has proposed several initiatives to support this transition, such as an AI initiative, exploring a "scientific laboratory of the future" concept, and an AI Assistant powered by ChatGPT accessible to lab staff. "AI is transitioning from its predictive and generative phases into a new era of reasoning, which we think will enable even more opportunities for AI to propel scientific discovery and innovation," she said, as recorded by Oak Ridge National Laboratory. The lab is not only steeped in a history of AI research but is actively shaping the future of AI, primarily in scientific innovation.
