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To Help Reduce Stress In Kids, Samsung India Plans To Conduct Research

Samsung Smart Class is currently available at 652 Jawahar Navodaya Vidyalaya schools.

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Samsung files new patent application for 3D displays.

Samsung India is set to undertake a two-year research to find out how to enhance learning outcomes for middle school students in India and how their stress levels can be reduced, the company said on Monday.

Named as the MyDream project, the study is in collaboration with UNESCO MGIEP (Mahatma Gandhi Institute of Education for Peace and Sustainable Development) and Navodaya Vidyalaya Samiti.

The study will determine how project-based and socio-emotional learning (SEL) can be used to drive learning outcomes of students as defined by their mathematics and science scores and also to reduce their stress levels.

Samsung
Every Samsung Smart Class is equipped with an interactive Samsung Smartboards.

“Samsung is proud to partner with UNESCO-MGIEP and Navodaya Vidyalaya Samiti on this ground-breaking research that seeks to transform education that will empower children with skillsets for the 21st century,” said Peter Rhee, Corporate Vice President, Samsung India, in a statement.

The study, will be conducted in 64 Jawahar Navodaya Vidyalaya schools, where Samsung already operates a Samsung Smart Class.

“Through the My Dream project, we want to build intellectually and emotionally resilient young people. We seek to make learning fun and stress free, and training young people to be mindful, empathetic and compassionate,” said Anantha K Duraiappah, Director, UNESCO-MGIEP.

“This research project will help us understand how learning outcomes for students can be improved and how their stress levels can be mitigated. This partnership will pave way for not just an impact in India, but a global one,” he added.

Samsung India
DJ Koh, President and CEO of IT and Mobile Communications Division, Samsung Electronics. (IANS)

At the end of the study, a comprehensive report and recommendations will be submitted to the Ministry of Human Resource Development, Government of India.

Separately, Samsung also announced a partnership with the Andhra Pradesh Government, to set up Samsung Smart Class at 14 government colleges across Andhra Pradesh, the statement said.

Also Read: Cut Stress At Work Using Meditation And Boost Emotional Intelligence: Study

The 14 Samsung Smart Class will deliver 200 hours of courses such as Bachelors of Education (B.Ed) and Diploma in Education (D.Ed).

Samsung Smart Class is currently available at 652 Jawahar Navodaya Vidyalaya schools, 28 Government schools in Tamil Nadu and three Delhi Police Public Schools, taking the total number of Samsung Smart Class in India to 683.

Every Samsung Smart Class is equipped with an interactive Samsung Smartboards, Samsung tablets, a printer, Wi-Fi connectivity and power backup. (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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Cancer
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.

Cancer
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.

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“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)