Generative AI in Scientific Research

  1. The Michigan Institute for Data Science (MIDAS) at the University of Michigan provides resources and guidelines on effectively utilizing generative AI in scientific research, emphasizing its role as a brainstorming partner and its capabilities in creating novel content. MIDAS User Guide
  2. Forbes highlighted how generative AI tools are transforming academic research by streamlining the literature review process and finding relevant articles. Forbes Article
  3. Nature discusses living guidelines for generative AI, emphasizing the importance of disclosure when using these tools to promote awareness and research. Nature Article
  4. The World Economic Forum notes that generative AI can help scientists overcome scale-related issues in experiments. WEF Article
  5. AJE provides best practices for using generative AI in research, taking into account the ethical concerns surrounding its use. AJE Guidelines
  6. The Broad Institute discusses the potential of generative AI in accelerating biomedical research by analyzing the “language” of genes and cells. Broad Institute Q&A

Case Studies of AI in Scientific Discoveries

  1. National Academies featured a case study on how AI generates synthetic storms to identify new tornado precursors. National Academies
  2. NPR highlighted how AI could assume a fundamental role in scientific discovery, particularly in the generation of synthetic proteins for drug discovery. NPR Article
  3. Quanta Magazine showcased how AI algorithms assist in understanding galaxy evolution, quantum wave functions, and new chemical compounds. Quanta Magazine

AI-Driven Inventions

  1. Built In provided a list of 42 significant AI innovations for 2024, showcasing AI’s influence on various industries with tangible examples. Built In
  2. Data Science Dojo recapped powerful AI inventions of 2023, highlighting transformative technologies such as AI in photo editing and OpenAI’s GPT-4. Data Science Dojo
  3. Medium discussed the top 10 AI inventions expected to shape the future, including autonomous vehicles, AI in healthcare, space exploration, and education. Medium Article

AI Collaboration with Research Institutions

  1. The NSF announced the expansion of the National AI Research Institutes, growing to cover 40 states and aiming to reach all 50. NSF News
  2. IBM’s AI Alliance formed an international community for technology developers, researchers, and adopters to collaborate and advance open, safe, responsible AI. IBM Newsroom
  3. Quantib emphasized the importance of AI research collaborations between industry and academia for innovation and development in healthcare. Quantib Blog

The Impact of Generative AI on Scientific Discoveries and Inventions