Patterson, David, Gonzalez, Joseph, Holzle, Urs, Le, Quoc, Liang, Chen, Munguia, Lluis-Miquel, Rothchild, Daniel, So, David R., Texier, Maud, and Dean, Jeff. The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. Retrieved from https://par.nsf.gov/biblio/10399992. Computer 55.7 Web. doi:10.1109/MC.2022.3148714.

Patterson, David, Gonzalez, Joseph, Holzle, Urs, Le, Quoc, Liang, Chen, Munguia, Lluis-Miquel, Rothchild, Daniel, So, David R., Texier, Maud, & Dean, Jeff. The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. Computer, 55 (7). Retrieved from https://par.nsf.gov/biblio/10399992. https://doi.org/10.1109/MC.2022.3148714

Patterson, David, Gonzalez, Joseph, Holzle, Urs, Le, Quoc, Liang, Chen, Munguia, Lluis-Miquel, Rothchild, Daniel, So, David R., Texier, Maud, and Dean, Jeff. "The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink". Computer 55 (7). Country unknown/Code not available. https://doi.org/10.1109/MC.2022.3148714. https://par.nsf.gov/biblio/10399992.

@article{osti_10399992,
place = {Country unknown/Code not available}, title = {The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink}, url = {https://par.nsf.gov/biblio/10399992}, DOI = {10.1109/MC.2022.3148714}, abstractNote = {}, journal = {Computer}, volume = {55}, number = {7}, author = {Patterson, David and Gonzalez, Joseph and Holzle, Urs and Le, Quoc and Liang, Chen and Munguia, Lluis-Miquel and Rothchild, Daniel and So, David R. and Texier, Maud and Dean, Jeff}, }