Wednesday December 11, 2019
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Now Google Assistant Will Help You Making Your Baby Sleep

The feature was first introduced in 2018, however, it was only made available on Google Home, TechCrunch reported.

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"You'll need to have the latest version of Google Play Books for Android or iOS installed to listen to all of these great stories," Eric Liu, Product Manager, Google Assistant, wrote in a blog post. Pixabay

There is good news for parents. If you are not particularly good at reading bedtime stories to your kids, just ask the Google Assistant on your phone to do so and you will be able to hear the famous tales from the Panchtantra or other books.

Whether you have an Android or an iOS phone, every time you say “Hey Google, tell me a story”, the Assistant tells you a tale. If you hear the “Truth Will Never Die” one day, it could be “Don’t be Greedy” next time, or “Don’t Trust Anybody” at some other time.

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. If you are not particularly good at reading bedtime stories to your kids, just ask the Google Assistant on your phone to do so and you will be able to hear the famous tales from the Panchtantra or other books.
Pixabay

Google introduced the “Tell Me a Story” feature in English in India, Australia, Britain and the US on Thursday.

“You’ll need to have the latest version of Google Play Books for Android or iOS installed to listen to all of these great stories,” Eric Liu, Product Manager, Google Assistant, wrote in a blog post.

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Google introduced the “Tell Me a Story” feature in English in India, Australia, Britain and the US on Thursday. Pixabay

Also Read: How Much Time Kids and Infants Should Spend Watching Screens Everyday?
“Whether you’re on the way to school drop-off or waiting for soccer practice to start, you can hear stories like ‘Let’s Be Firefighters!’ (Blaze and the Monster Machines), ‘Robot Rampage’ (Teenage Mutant Ninja Turtles) and more,” Liu added.

The feature was first introduced in 2018, however, it was only made available on Google Home, TechCrunch reported. (IANS)

Next Story

AI Can Better Help Doctors to Identify Cancer Cells in Human Body

The process of manually identifying all the cells in a pathology slide is extremely labor intensive and error-prone

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The AI algorithm helps pathologists obtain the most accurate Cancer cell analysis - in a much faster way. Pixabay

Researchers at University of Texas Southwestern have developed a software tool that uses Artificial Intelligence (AI) to recognize Cancer cells from digital pathology images – giving clinicians a powerful way of predicting patient outcomes.

The spatial distribution of different types of cells can reveal a cancer’s growth pattern, its relationship with the surrounding microenvironment, and the body’s immune response.

But the process of manually identifying all the cells in a pathology slide is extremely labor intensive and error-prone.

“To make a diagnosis, pathologists usually only examine several ‘representative’ regions in detail, rather than the whole slide. However, some important details could be missed by this approach,” said Dr. Guanghua “Andy” Xiao, corresponding author of a study published in EbioMedicine.

A major technical challenge in systematically studying the tumor microenvironment is how to automatically classify different types of cells and quantify their spatial distributions.

The AI algorithm that Dr Xiao and his team developed, called “ConvPath”, overcomes these obstacles by using AI to classify cell types from lung cancer pathology images.

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Researchers at University of Texas Southwestern have developed a software tool that uses Artificial Intelligence (AI) to recognize Cancer Cells from digital pathology images – giving clinicians a powerful way of predicting patient outcomes. Pixabay

The ConvPath algorithm can “look” at cells and identify their types based on their appearance in the pathology images using an AI algorithm that learns from human pathologists.

The algorithm helps pathologists obtain the most accurate cancer cell analysis – in a much faster way.

ALSO READ: Now Gmail Will Let You Send Emails as Attachment

“It is time-consuming and difficult for pathologists to locate very small tumour regions in tissue images, so this could greatly reduce the time that pathologists need to spend on each image,” said Dr Xiao. (IANS)