What Are ‘World Models’? The Key to the Next Big AI Leap – WSJ https://www.wsj.com/tech/ai/world-models-ai-evolution-11275913
https://www.wsj.com/tech/ai/world-models-ai-evolution-11275913?mod=article_inline
Posts Tagged ‘to’
What Are ‘World Models’? The Key to the Next Big AI Leap – WSJ
January 2, 2026Does a cell’s gene expression always reflect its function?
December 22, 2025https://www.nature.com/articles/d41586-025-00088-1
Özel, M. N., & Desplan, C. (2025). Does a cell’s gene expression always reflect its function? Nature, 638(8052), 899–900.
https://doi.org/10.1038/d41586-025-00088-1
Opinion | This Is the 21st-Century Arms Race. Can America Keep Up?
December 10, 2025The Editorial Board. (2025, December 11). Opinion | This is the 21st-Century arms race. Can America keep up? The New York Times.
https://www.nytimes.com/interactive/2025/12/09/opinion/editorials/us-china-military-ai-tech.html
QT:{{”
Something strange happened at the meeting between President Joe Biden and President Xi Jinping of China in a mansion south of San Francisco on Nov. 15, 2023. After a working lunch, as the two leaders rose to leave, an aide to Mr. Xi signaled to one of the Chinese president’s bodyguards, who approached the table, took a small bottle out of his pocket and quickly sprayed down every surface that Mr. Xi had touched, including what remained of the almond meringue cake on his dessert plate.
The purpose, the Americans concluded, was to remove any trace of Mr. Xi’s DNA that his hosts might collect and exploit. “This is the way they’re thinking,” said an official who attended the meeting, “that you could design a disease that would only affect one person.” …
This year two major companies — OpenAI and Anthropic — warned that if nothing is done, A.I. will soon be able to assist bad actors attempting to create bioweapons. Students at M.I.T. used chatbots to come up with four pandemic pathogens. The A.I. explained how to generate them from synthetic DNA; it suggested companies that were unlikely to screen orders for the DNA; and it recommended that if the students lacked the skills to do all this, they could contact a research organization. This was done in one hour.
“}}
2nd part of a multi-part series
Protecting Human Genomic Data When Developing Generative Artificial Intelligence Tools and Applications | Grants & Funding
November 8, 2025Protecting Human Genomic Data When Developing Generative Artificial Intelligence Tools and Applications | Grants & Funding
November 8, 2025The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery: Cell
October 18, 2025Capstone reviews/perspectives for reference
**IHEC**
The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery
Hendrik G. Stunnenberg ∙ The International Human Epigenome Consortium4 ∙ Martin Hirst
Stunnenberg, H. G., Hirst, M., Abrignani, S., Adams, D., De Almeida, M., Altucci, L., Amin, V., Amit, I., Antonarakis, S. E., Aparicio, S., Arima, T., Arrigoni, L., Arts, R., Asnafi, V., Esteller, M., Bae, J., Bassler, K., Beck, S., Berkman, B., . . . Zipprich, G. (2016). The International Human Epigenome Consortium: a blueprint for Scientific collaboration and Discovery. Cell, 167(5), 1145–1149.
https://doi.org/10.1016/j.cell.2016.11.007
** EXRNA**
The Extracellular RNA Communication Consortium: Establishing Foundational Knowledge and Technologies for Extracellular RNA Research
Das, S., Ansel, K. M., Bitzer, M., Breakefield, X. O., Charest, A., Galas, D. J., Gerstein, M. B., Gupta, M., Milosavljevic, A., McManus, M. T., Patel, T., Raffai, R. L., Rozowsky, J., Roth, M. E., Saugstad, J. A., Van Keuren-Jensen, K., Weaver, A. M., Laurent, L. C., Abdel-Mageed, A. B., . . . Zhang, H. (2019). The Extracellular RNA Communication Consortium: Establishing foundational knowledge and technologies for extracellular RNA research. Cell, 177(2), 231–242. https://doi.org/10.1016/j.cell.2019.03.023
**ENCODE3**
Perspectives on ENCODE
The ENCODE Project Consortium, Michael P Snyder 1,2,✉, Thomas R Gingeras 3, Jill E Moore 4, Zhiping Weng 4,5,6, Mark B Gerstein 7, Bing Ren 8,9, Ross C Hardison 10, John A Stamatoyannopoulos 11,12,13, Brenton R Graveley 14, Elise A Feingold 15, Michael J Pazin 15, Michael Pagan 15, Daniel A Gilchrist 15, Benjamin C Hitz 1, J Michael Cherry 1, Bradley E Bernstein 16, Eric M Mendenhall 17,18, Daniel R Zerbino 19, Adam Frankish 19, Paul Flicek 19, Richard M Myers 18
Abascal, F., Acosta, R., Addleman, N. J., Adrian, J., Afzal, V., Aken, B., Ai, R., Akiyama, J. A., Jammal, O. A., Amrhein, H., Anderson, S. M., Andrews, G. R., Antoshechkin, I., Ardlie, K. G., Armstrong, J., Astley, M., Banerjee, B., Barkal, A. A., Barnes, I. H. A., . . . Myers, R. M. (2020).
Perspectives on ENCODE. Nature, 583(7818), 693–698.
https://doi.org/10.1038/s41586-020-2449-8
Efficient Privacy-Preserving Training Of Quantum Neural Networks Utilizes Mixed States For Data Ensembles
September 21, 2025Chai Discovery
August 23, 2025Human exposure to PM10 microplastics in indoor air | PLOS One
July 30, 2025https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0328011
Yakovenko, N., Pérez-Serrano, L., Segur, T., Hagelskjaer, O., Margenat, H., Roux, G. L., & Sonke, J. E. (2025). Human exposure to PM10 microplastics in indoor air. PLOS One.
https://doi.org/10.1371/journal.pone.0328011
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