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Articles related to "research"


How A.I. Will Help Address the Causation Problem in Economics

  • For decades, economists have done their research based on data sets only as large as their research assistants could handle, hence severely limiting the scope and precision of their work.
  • The issue of interpreting causal relationships complicates economic analysis.
  • The issue of interpreting causal relationships complicates economic analysis and makes it less accurate, for social events are way too complex to occur for only one reason.
  • Analyzing the effects of all the variables is very difficult, both because inferring causal relationships becomes harder as the number of players increase and because of the sheer amount of data.
  • Some economists are already are working on AI algorithms that are able to infer causal relationships.
  • Depending on a circumstance, AI will give weights each to each of the factors causing a certain phenomenon, thus enabling us to better understand the effects of economic policies on various spheres of human activities.

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How A.I. Will Help Address the Causation Problem in Economics

  • For decades, economists have done their research based on data sets only as large as their research assistants could handle, hence severely limiting the scope and precision of their work.
  • The issue of interpreting causal relationships complicates economic analysis.
  • The issue of interpreting causal relationships complicates economic analysis and makes it less accurate, for social events are way too complex to occur for only one reason.
  • Analyzing the effects of all the variables is very difficult, both because inferring causal relationships becomes harder as the number of players increase and because of the sheer amount of data.
  • Some economists are already are working on AI algorithms that are able to infer causal relationships.
  • Depending on a circumstance, AI will give weights each to each of the factors causing a certain phenomenon, thus enabling us to better understand the effects of economic policies on various spheres of human activities.

save | comments | report | share on


How A.I. Will Help Address the Causation Problem in Economics

  • For decades, economists have done their research based on data sets only as large as their research assistants could handle, hence severely limiting the scope and precision of their work.
  • The issue of interpreting causal relationships complicates economic analysis.
  • The issue of interpreting causal relationships complicates economic analysis and makes it less accurate, for social events are way too complex to occur for only one reason.
  • Analyzing the effects of all the variables is very difficult, both because inferring causal relationships becomes harder as the number of players increase and because of the sheer amount of data.
  • Some economists are already are working on AI algorithms that are able to infer causal relationships.
  • Depending on a circumstance, AI will give weights each to each of the factors causing a certain phenomenon, thus enabling us to better understand the effects of economic policies on various spheres of human activities.

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A DNA Firm That Caters to Police Just Bought a Genealogy Site

  • That all changed in April of 2018, when news broke that police had used GEDmatch to identify a suspect in the 40-year-old Golden State Killer case.
  • One drama after another has engulfed the website: Police searches have grown increasingly invasive; the site’s owners tried to react with changes to its terms of service that ended up backfiring; and white-hat hackers pointed out glaring security flaws.
  • With the acquisition of GEDmatch, Verogen may also start offering genealogy searches like the ones that have so far identified suspects in as many as 70 cases.
  • (Additional options included deciding later and permanently deleting all her data from the GEDmatch servers.) According to a Verogen spokesperson, whatever settings users had earlier selected for their GEDmatch profiles—opting in or out of police searches—will remain under the new terms.

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Machine Learning 101 for Dummies like Me

  • Alongside machine learning, there are various other approaches used to build AI systems, including evolutionary computation, where algorithms undergo random mutations and combinations between generations in an attempt to “evolve” optimal solutions, and expert systems, where computers are programmed with rules that allow them to mimic the behavior of a human expert in a specific domain, for example, an autopilot system flying a plane.
  • Deep learning, which is now the prevalent form of machine learning, also suffers from an explainability problem: Neural networks work in complicated ways, and even their creators struggle to follow their decision-making processes.
  • Machine learning platforms are among enterprise technology’s most competitive realms, with most major vendors, including Amazon, Google, Microsoft, IBM, and others, racing to sign customers up for platform services that cover the spectrum of machine learning activities, including data collection, data preparation, model building, training and application deployment.

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How A.I. Will Help Address the Causation Problem in Economics

  • For decades, economists have done their research based on data sets only as large as their research assistants could handle, hence severely limiting the scope and precision of their work.
  • The issue of interpreting causal relationships complicates economic analysis.
  • The issue of interpreting causal relationships complicates economic analysis and makes it less accurate, for social events are way too complex to occur for only one reason.
  • Analyzing the effects of all the variables is very difficult, both because inferring causal relationships becomes harder as the number of players increase and because of the sheer amount of data.
  • Some economists are already are working on AI algorithms that are able to infer causal relationships.
  • Depending on a circumstance, AI will give weights each to each of the factors causing a certain phenomenon, thus enabling us to better understand the effects of economic policies on various spheres of human activities.

save | comments | report | share on


Machine Learning 101 for Dummies like Me

  • Alongside machine learning, there are various other approaches used to build AI systems, including evolutionary computation, where algorithms undergo random mutations and combinations between generations in an attempt to “evolve” optimal solutions, and expert systems, where computers are programmed with rules that allow them to mimic the behavior of a human expert in a specific domain, for example, an autopilot system flying a plane.
  • Deep learning, which is now the prevalent form of machine learning, also suffers from an explainability problem: Neural networks work in complicated ways, and even their creators struggle to follow their decision-making processes.
  • Machine learning platforms are among enterprise technology’s most competitive realms, with most major vendors, including Amazon, Google, Microsoft, IBM, and others, racing to sign customers up for platform services that cover the spectrum of machine learning activities, including data collection, data preparation, model building, training and application deployment.

save | comments | report | share on


Machine Learning 101 for Dummies like Me

  • Alongside machine learning, there are various other approaches used to build AI systems, including evolutionary computation, where algorithms undergo random mutations and combinations between generations in an attempt to “evolve” optimal solutions, and expert systems, where computers are programmed with rules that allow them to mimic the behavior of a human expert in a specific domain, for example, an autopilot system flying a plane.
  • Deep learning, which is now the prevalent form of machine learning, also suffers from an explainability problem: Neural networks work in complicated ways, and even their creators struggle to follow their decision-making processes.
  • Machine learning platforms are among enterprise technology’s most competitive realms, with most major vendors, including Amazon, Google, Microsoft, IBM, and others, racing to sign customers up for platform services that cover the spectrum of machine learning activities, including data collection, data preparation, model building, training and application deployment.

save | comments | report | share on


Machine Learning 101 for Dummies like Me

  • Alongside machine learning, there are various other approaches used to build AI systems, including evolutionary computation, where algorithms undergo random mutations and combinations between generations in an attempt to “evolve” optimal solutions, and expert systems, where computers are programmed with rules that allow them to mimic the behavior of a human expert in a specific domain, for example, an autopilot system flying a plane.
  • Deep learning, which is now the prevalent form of machine learning, also suffers from an explainability problem: Neural networks work in complicated ways, and even their creators struggle to follow their decision-making processes.
  • Machine learning platforms are among enterprise technology’s most competitive realms, with most major vendors, including Amazon, Google, Microsoft, IBM, and others, racing to sign customers up for platform services that cover the spectrum of machine learning activities, including data collection, data preparation, model building, training and application deployment.

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Here's how much money you have to earn to be considered rich in 42 major US cities

  • A 2018 Pew Research Center report found that only 19% of American households were considered upper class.
  • That group of upper class households had a median income of $187,872.
  • In order to be considered "upper class," according to CNBC, a household must earn over double the median household income.
  • The median household income nationwide in 2018 was $63,179, according to the US Census Bureau's September 2019 report.
  • However, the threshold for being considered "upper class" varies from city to city, depending on the local median income.
  • Keep scrolling to find out what it takes to be considered upper class, or rich, in the 42 largest metro areas in the US, plus what income is needed to be in the top 1% in those states.
  • Note: Population size and median area income have been sourced from Data USA.

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