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Beat AI By Being Above Average (Season 5: Episode 2)
Get ready for supermassive dark stars, human creativity versus AI, unsinkable metal tubes, robot-assisted microscopy, the Collaborative Microbial Metabolite Center knowledgebase, and a grant to strengthen agricultural systems. Science On.
References:
- https://www.mdpi.com/2218-1997/12/1/1
- https://www.nature.com/articles/s41598-025-25157-3
- https://iopscience.iop.org/article/10.3847/PSJ/ae2b6f/pdf
- https://advanced-onlinelibrary-wiley-com.ezproxy.library.und.edu/doi/epdf/10.1002/adfm.202526033
- https://arxiv.org/pdf/2601.20849
- https://arxiv.org/pdf/2601.20808
- https://arxiv.org/pdf/2601.20776
- https://www.biorxiv.org/content/10.64898/2026.01.24.701521v1
- https://www.biorxiv.org/content/10.64898/2026.01.27.698081v1
- https://www.biorxiv.org/content/10.64898/2026.01.27.701945v1
- https://simpler.grants.gov/opportunity/c026db8a-157d-42de-bac7-4baf5602cd0a
R Packages:
- glmSTARMA: (Double) Generalized Linear Models for Spatio-Temporal Data
- repfun: Create Tables, Listings and Figures using Functions Styled after SAS™ Macros
- GimmeMyStats: Statistics Utilities
View all episodes
By Mark R WilliamsonGet ready for supermassive dark stars, human creativity versus AI, unsinkable metal tubes, robot-assisted microscopy, the Collaborative Microbial Metabolite Center knowledgebase, and a grant to strengthen agricultural systems. Science On.
References:
- https://www.mdpi.com/2218-1997/12/1/1
- https://www.nature.com/articles/s41598-025-25157-3
- https://iopscience.iop.org/article/10.3847/PSJ/ae2b6f/pdf
- https://advanced-onlinelibrary-wiley-com.ezproxy.library.und.edu/doi/epdf/10.1002/adfm.202526033
- https://arxiv.org/pdf/2601.20849
- https://arxiv.org/pdf/2601.20808
- https://arxiv.org/pdf/2601.20776
- https://www.biorxiv.org/content/10.64898/2026.01.24.701521v1
- https://www.biorxiv.org/content/10.64898/2026.01.27.698081v1
- https://www.biorxiv.org/content/10.64898/2026.01.27.701945v1
- https://simpler.grants.gov/opportunity/c026db8a-157d-42de-bac7-4baf5602cd0a
R Packages:
- glmSTARMA: (Double) Generalized Linear Models for Spatio-Temporal Data
- repfun: Create Tables, Listings and Figures using Functions Styled after SAS™ Macros
- GimmeMyStats: Statistics Utilities