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Building machines that better understand human goals


Caption:
An “agent” and an “observer” demonstrate how a new MIT algorithm is capable of inferring goals and plans, even when those plans might fail. Here, the agent makes a mistaken plan to reach the blue gem, which the observer infers as a possibility.
Credits:
Image courtesy of the researchers.
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In a classic experiment on human social intelligence by psychologists Felix Warneken and Michael Tomasello, an 18-month old toddler watches a man carry a stack of books towards an unopened cabinet. When the man reaches the cabinet, he clumsily bangs the books against the door of the cabinet several times, then makes a puzzled noise.  ....

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This Indian-origin scientist has discovered a new way to filter fake news; read details


This Indian-origin scientist has discovered a new way to filter fake news; read details
IANS
New York: Using machine learning (ML), a team of US researchers led by Indian-American computer scientist Anshumali Shrivastava at Rice University has discovered an efficient way for social media companies to keep misinformation from spreading online.
Their method applies machine learning in a smarter way to improve the performance of Bloom filters, a widely used technique devised a half-century ago.
Using test databases of fake news stories and computer viruses, Shrivastava and statistics graduate student Zhenwei Dai showed their Adaptive Learned Bloom Filter (Ada-BF) required 50 per cent less memory to achieve the same level of performance as learned Bloom filters. ....

New York , United States , Zhenwei Dai , Anshumali Shrivastava At Rice University , Anshumali Shrivastava , Rice University , Adaptive Learned Bloom Filter , Neural Information Processing Systems , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , அரிசி பல்கலைக்கழகம் , மாற்றி அமைக்கத்தக்க கற்று பூக்கும் வடிகட்டி , நரம்பியல் தகவல் ப்ரோஸெஸிஂக் அமைப்புகள் ,

Researchers Use Machine-Learning Method to Improve Bloom Filter for Fake News Detection on Social Media


14 December 2020, 12:59 am EST By
With so much misinformation spreading in social media, Rice University researchers led by computer scientist Anshumali Shrivastava developed a method using machine learning (ML) to prevent the spread of misinformation online.
This new method developed by Shrivastava and his team is presented during the 2020 Conference on Neural Information Processing Systems (NeurIPS 2020), which was held online. They improved the 50-year old Bloom filter technology for scanning social media help social media network companies prevent the spread of fake news in their platforms.
What are bloom filters?
A Bloom filter is a data structure used to test whether a certain element is a member of a set. It is ....

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