Advancing AI Applications
The conversation highlights the rapid evolution of generative AI, particularly in 2022 and 2023, as businesses recognize its potential. There's a strong emphasis on harnessing scientific data for practical applications, especially within government initiatives. The discussion also touches on the need for new model types beyond large language models, such as graph neural networks, to enhance discovery and efficiency in various fields.In this clip
From this podcast
The AI Podcast
How the Department of Energy Is Tapping AI to Transform Science, Industry and Government - Ep. 236
Related Questions
What's your opinion on using large language models (LLMs) for scientific research, especially for generating new ideas for hypotheses, as discussed in the episode 888: Marc Andreessen | Exploring the Power, Peril, and Potential of AI and the clip The Power of Computer Creativity?
What's your opinion on using large language models (LLMs) for scientific research, especially for generating new ideas for hypotheses as discussed in the episode "Neurosymbolic AI in Search with Professor Laura Dietz - Weaviate Podcast #49!" and the clip "Knowledge Graph Queries"?