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NSF and NVIDIA Partner to Enable Fully Open AI Models

  • Bias Rating

    -50% Medium Left

  • Reliability

    85% ReliableGood

  • Policy Leaning

    -50% Medium Left

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

52% Positive

  •   Liberal
SentenceSentimentBias
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Bias Meter

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

69% : One example that I would like to highlight is this NSF grant for Washington State University, which will support international research in cybersecurity for AI: "Washington State University researchers have received a three-year National Science Foundation grant that will train U.S. and Swedish students in cybersecurity research for artificial intelligence (AI) applications.
64% : The program aims to foster international research, cultural exchange, and collaboration.
61% : "The $450,000 grant from NSF's International Research Experiences for Students program will support semester-long exchanges for WSU undergraduates to conduct cybersecurity research with a cohort at Sweden's Linköping University (LiU).
53% : "'Bringing AI into scientific research has been a game changer,' said Brian Stone, performing the duties of the NSF director.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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