Pandu nayak google update#
Pandu nayak google crack#

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“We’re determined to keep doing our part to help people everywhere find what they’re looking for and give them the context they need to make informed decisions about what they see online.” “Google was built on the premise that information can be a powerful thing for people around the world,” wrote Nayak.

Pandu nayak google crack#

The updates are part of a concerted effort by Google to crack down on misinformation on its platforms. These content advisories were originally developed for breaking news stories, but will now be rolled-out for all search results. These include a new ‘About this result’ feature, that pulls in information from Wikipedia about sources linked from search results, and ‘content advisories’ that alert users when Google does not have confidence in the quality of information in its results. Nayak outlined some additional measures to help promote ‘information literacy’ among its users.

Pandu nayak google update#

The latest update uses MUM to identify such search queries, and reduces the chance of snippets appearing by 40%. “A recent search for ‘when did snoopy assassinate Abraham Lincoln’ provided a snippet highlighting an accurate date and information about Lincoln’s assassination, but this clearly isn’t the most helpful way to display this result,” Nayak wrote. The new system also reduces the chance of misleading snippets appearing in response to queries based on a false premise. “We’ve found that this consensus-based technique has meaningfully improved the quality and helpfulness of featured snippet callouts.” The content of featured snippets can now be checked against “high-quality sources on the web, to see if there’s a general consensus for that callout, even if sources use different words or concepts to describe the same thing,” Nayak explained.

Using MUM, “our systems can now understand the notion of consensus, which is when multiple high-quality sources on the web all agree on the same fact,” wrote Pandu Nayak, Google’s VP of search, in a blog post. To reduce the risk of misinformation appearing in featured snippets, Google analyses relevant sources using its ‘multitask unified model’ (MUM), a ‘multi-modal’ natural language processing technology it developed last year. The search giant is using the system to prevent misinformation being included in the “featured snippets” that appear at the top of its search results. AI engineers at Google have developed a machine learning model that identifies the consensus on controversial topics, the company said this week.