Blaise Agüera y Arcas

A Blaise Agüera y Arcas is a person.

• See: Photosynth, Mass Technological Unemployment, Med-PaLM 2.

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References

• Google Scholar Author Page: http://scholar.google.com/citations?user=NQ8iI3cAAAAJ

2023

• (Singhal, Tu et al., 2023) ⇒ Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, et al. (2023). “Towards Expert-Level Medical Question Answering with Large Language Models.” doi:10.48550/arXiv.2305.09617

2022

• (Singhal et al., 2022) ⇒ Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, and Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Scharli, Aakanksha Chowdhery, Philip Mansfield, Blaise Aguera y Arcas, Dale Webster, Greg S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, and Alvin Rajkomar. (2022). “Large Language Models Encode Clinical Knowledge.” In: arXiv preprint arXiv:2212.13138.

2014

• (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Blaise_Agüera_y_Arcas Retrieved:2014-9-27.
  • Blaise Agüera y Arcas is a software architect, designer, and imagery authority at Google. As of 2010, he was the architect of Bing Maps and Bing Mobile. In 2011 he was named a Distinguished Engineer at Microsoft. He founded Seadragon Software in 2003, which was acquired by Microsoft Live Labs in 2006. He has led later development of the Photosynth software suite. In 2004 for the Library of Congress he devised a method to create color composite images of almost two thousand negatives by Sergey Prokudin-Gorsky. In 2008, he was named to the MIT Technology Review TR35 as one of the top 35 innovators in the world under the age of 35.

    In 2013, he left Microsoft to join Google.

2014

• (y Arcas et al., 2014) ⇒ Blaise Agüera y Arcas. (2014). “Time to Ring Some Changes: Machine Intelligence, Economic Dignity, and Gender." Lecture at the Sixth Smoke Farm Symposium, July 26, 2014
  • QUOTE: … Tech means increasing capability at decreasing costs. It is hard from me to see a future in which, if we continue the way that we have, with the assumption that a basic standard of living requires that we be economically productive individually. That path seems that leads to the vast majority of us becoming, gods in the sense that we have these incredible capabilities, but broke, in the sense that we cannot put a roof over our heads. And, of course it leads to an increasing inequality in wealth between the people who build and control the systems that are doing the work, the technology, and everybody whose work is being eliminated by that technology becoming very good. So, I think that this is just an inevitability, and I think that the problem is not with technology but with Calvinism, and with this assumption that a standard of living and economic productivity should be tightly coupled. I think that we are reaching the end of the period where this makes sense. …

2003

• (y Arcas et al., 2003) ⇒ Blaise Agüera y Arcas, Adrienne L. Fairhall, and William Bialek. (2003). “Computation in a single neuron: Hodgkin and Huxley revisited.” In: Neural Computation, 15(8).

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