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Is Game Theory important for Data Scientists?

@machinelearnbot

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Women condemn 'highly offensive' presentation by senior scientist

Daily Mail - Science & tech

A scientist has sparked fury with a presentation at CERN saying that'physics was invented and built by men'. Alessandro Strumia of Pisa University said male scientists were the victims of discrimination during a workshop on'High Energy Theory and Gender'. CERN has condemned the scientist's remarks saying they were'highly offensive' and that the slides from his talk had been removed from its website. But Professor Strumia has stood by his comments, made to a predominantly female audience, BBC News has reported. Alessandro Strumia of Pisa University said male scientists were the victims of discrimination during a workshop on'High Energy Theory and Gender'.


Game Theory - Outlier AI, Inc.

#artificialintelligence

This is part 1 of a 5 part series on Game Theory. Last week we covered Decision Theory, a set of tools for making decisions using data. Many decisions are not as simple as making a choice, often you are in a situation where your decisions affect others and their decisions affect you. In these circumstances Decision Theory can break down since the uncertainty makes any predicted values hard to estimate. We can play some games!


Scientists validate theory of relativity on galactic level

Engadget

Einstein's theory of general relativity is rather important when it's crucial to the modern understandings of the universe and technology like satellites. But does it hold up with something as vast as a galaxy? Thanks to researchers, we know the answer is "yes." They've conducted a test that used two comparatively distant galaxies, one in front of the other, to show that relativity checks out. The study used the Hubble Space Telescope and the Very Large Telescope to gauge the mass of the foreground galaxy using both gravitational lensing for its background counterpart as well as the speed of the stars around its edges, using the comparison to see whether the measurements are consistent.


Computer invents new scientific theory without human help for the first time

#artificialintelligence

One of biology's biggest mysteries - how a sliced up flatworm can regenerate into new organisms - has been solved independently by a computer. The discovery marks the first time that a computer has come up with a new scientific theory without direct human help. Computer scientists from the University of Maryland programmed a computer to randomly predict how a worm's genes formed a regulatory network capable of regeneration, before evaluating these predictions through simulation. After three days of continuously predicting, simulating and evaluating, the computer was able to come up with a core genetic network that explained how the worm's regeneration took place. The study by Daniel Lobo and Michael Levin, Inferring Regulatory Networks from Experimental Morphological Phenotypes, was published on Thursday (4 June) in the journal PLOS.