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Google BERT - Future Proof Your SEO - Qamar Zaman Dallas SEO Explains - your Website in 2021 - Press Release


Google BERT - Future Proof Your SEO - Qamar Zaman Dallas SEO Explains - your Website in 2021
Dallas, Dec. 31, 2020 (GLOBE NEWSWIRE) On the first week of December, the SEO industry has been in a buzz as Google announced its December 2020 Core Update. This update had fully rolled out two weeks after that. Some speculated that the update has nothing to do with search rankings but has to do with AI (Artificial Intelligence), and this is where the talk of a possible BERT update comes in.
What is Google Bert?
BERT or Bidirectional Encoder Representations from Transformer, a part of Google algorithm that helps it understand the context of search queries, is one of the essential core updates in the past several years. Google introduced it in 2018 as a state-of-the-art open-source pre-training for language processing. ....

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How NLP and AI are revolutionizing SEO-friendly content [Five tools to help you]


How NLP and AI are revolutionizing SEO-friendly content [Five tools to help you]
How NLP and AI are revolutionizing SEO-friendly content [Five tools to help you]
It’s exciting to see how SEO, NLP and AI will evolve together. Writer.com s Co-founder and CEO, May Habib discusses in-depth about SEO content and shares top tools to help you through the content creation process.
Author
Categories
30-second summary:
Natural language processing (NLP) is one factor you’ll need to account for as you do SEO on your website.
If your content is optimized for NLP, you can expect it to rise to the top of the search rankings and stay there for some time. ....

Better Business Bureau , May Habib , Bidirectional Encoder Representations , Friendly Content , Frequency Inverse Document , Content Briefs , சிறந்தது வணிக பணியகம் , இருக்கலாம் ஹபீப் , நட்பாக உள்ளடக்கம் , அதிர்வெண் தலைகீழ் ஆவணம் , உள்ளடக்கம் சுருக்கங்கள் ,

Why have AI models become so power hungry?


December 24, 2020
This month, Google forced out a prominent AI ethics researcher after she voiced frustration with the company for making her withdraw a research paper. The paper pointed out the risks of language-processing artificial intelligence, the type used in Google Search and other text analysis products.
Among the risks is the large carbon footprint of developing this kind of AI technology. By some estimates, training an AI model generates as much carbon emissions as it takes to build and drive five cars over their lifetimes.
I am a researcher who studies and develops AI models, and I am all too familiar with the skyrocketing energy and financial costs of AI research. Why have AI models become so power hungry, and how are they different from traditional data center computation? ....

New York , United States , San Francisco , University Of Massachusetts Amherst , Google Search , Bidirectional Encoder Representations , Massachusetts Amherst , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , சான் பிரான்சிஸ்கோ , பல்கலைக்கழகம் ஆஃப் மாசசூசெட்ஸ் மஹேர்ஸ்ட , கூகிள் தேடல் , மாசசூசெட்ஸ் மஹேர்ஸ்ட ,

It takes a lot of energy for machines to learn – here's why AI is so power-hungry


It takes a lot of energy for machines to learn – here’s why AI is so power-hungry
December 24, 2020
Data centers like this Google facility in Iowa use copious amounts of electricity. Credit: Chad Davis/Flickr.
This month, Google forced out a prominent AI ethics researcher after she voiced frustration with the company for making her withdraw a research paper.
The paper pointed out the risks of language-processing artificial intelligence, the type used in Google Search and other text analysis products.
Among the risks is the large carbon footprint of developing this kind of AI technology.
By some estimates, training an AI model generates as much carbon emissions as it takes to build and drive five cars over their lifetimes. ....

New York , United States , San Francisco , Davis Flickr , University Of Massachusetts Amherst , Google Search , Bidirectional Encoder Representations , Massachusetts Amherst , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , சான் பிரான்சிஸ்கோ , பல்கலைக்கழகம் ஆஃப் மாசசூசெட்ஸ் மஹேர்ஸ்ட , கூகிள் தேடல் , மாசசூசெட்ஸ் மஹேர்ஸ்ட ,

Google unveils MuRIL tech to boost Indian regional language internet ecosystem- Technology News, Firstpost


Google unveils MuRIL tech to boost Indian regional language internet ecosystem
MuRIL will work for more than a dozen Indian languages like Assamese, Bengali, English, Gujarati, Hindi, Kannada, Kashmiri etcetera.
Dec 22, 2020 18:01:29 IST
Earlier this year in July, Google had announced its $10 billion digitization fund for India in its Google for India 2020 event for the next five to seven years and one of the main focus areas of this fund was investing in the Indian language internet ecosystem to improve penetration of digital services and products. In accordance with this, Google India has unveiled a new artificial intelligence (AI) powered model called Multilingual Representations for Indian Languages, short for, MuRIL to improve interoperability of web services in 16 Indian languages. ....

Partha Talukdar , Research Scientist , Google Research India , Google India , Multilingual Representations , Indian Languages , Tensorflow Hub , Bidirectional Encoder Representations , Google Maps , பார்த்தா தாலுக்தார் , ஆராய்ச்சி விஞ்ஞானி , கூகிள் ஆராய்ச்சி இந்தியா , கூகிள் இந்தியா , இந்தியன் மொழிகள் , கூகிள் வரைபடங்கள் ,