This AI tech can hear Covid in a cough


Sydney, June 17 | Australian computer scientists have developed a novel Artificial Intelligence-based model that can hear the effects of Covid-19 in the sound of a forced cough, even when people are asymptomatic, an advance that can pave the way for detecting the infectious disease via diagnostic mobile phone apps.

During the pandemic, many crowdsourcing platforms have been designed to gather respiratory sound audios from both healthy and Covid-19 positive groups for research purposes.

A team of researchers from RMIT University accessed datasets from two of these platforms — Covid-19 Sounds App and COSWARA — to train the algorithm using contrastive self-supervised learning, a method by which a system works independently to encode what makes two things similar or different.

With further development, their algorithm could power a diagnostic mobile phone app, said lead author Hao Xue, Research Fellow in RMIT’s School of Computing Technologies.

“We’ve overcome a major hurdle in the development of a reliable, easily-accessible and contactless preliminary diagnosis tool for Covid-19,” said Xue, Research Fellow in RMIT’s School of Computing Technologies.

“This could have significant benefit in slowing the spread of the virus by those who have no obvious symptoms. A mobile app that can give you peace of mind during community outbreaks or prompt you to seek a Covid test — that’s the kind of innovative tool we need to better manage this pandemic,” Xue added.

Xue said the method they developed could also be extended for other respiratory diseases like tuberculosis.

While this is not the first Covid cough classification algorithm to be developed, the RMIT model outperforms existing approaches.

According to co-author Professor Flora Salim, previous attempts to develop this type of technology, like those at MIT and Cambridge, relied on huge amounts of meticulously-labeled data to train the AI system.

“The annotation of respiratory sounds requires specific knowledge from experts, making it expensive and time-consuming, and involves handling sensitive health information,” she said.

Moreover, cough samples from one hospital or one region to train the algorithm also limits its performance outside that setting.

“What’s most exciting about our work is we have overcome this problem by developing a method to train the algorithm using unlabelled cough sound data. This can be acquired relatively easily and at a larger scale from different countries, genders and ages,” Salim noted.

Source: IANS

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The 1st batch of Big Data Analytics at FORE School breaks record in SIP offers

The 1st batch of Big Data Analytics at FORE School breaks record in SIP offers

Owing to the scarcity of talented professionals and the huge market demand for skilled
professionals in Big Data and data science, the 2 year Full Time Post Graduate program in Big Data Analytics (PGD Big Data Analytics) was formally introduced by FORE School of Management, New Delhi, last year. With an intake limited to 60 seats the course offered an opportunity to specialize in Big Data Analytics along with any other traditional PGDM specializations.

The new program paid off positive results within a year from its launch. The students of
the first batch of Big Data Analytics not only received the highest summer internship offers compared to other specializations but are also winning laurels from business management competitions and talent hunts held across the country.

The highest stipend offered to Kinchit Saxena from the batch of BDA was Rs.1,50,000 (One lakh Fifty Thousand) by GEP. The average stipend for the BDA batch has been of Rs. 31,800.00 which is higher than the rest of the batch. Offers were given by Egon Zehnder, Newgen Software Technologies, ITC Ltd, Outlook India, IDC Research, Volvo Eicher Vehicles, Skyria, Fyndhere, CRIF Solutions among others.

Laurels won by the First batch of PGDM (BDA) in various management competitions and talent hunt

● Paras Mahajan Winner of – Asian Paints Cognoscenti Hues of Clues
● Muskan Jain & Prachi Joshi have been 1st runner up in an event by IIM Kashipur

● Parul Singla was 1st runner up in case studies competition held by SCIT Pune
● Anuksha Jain won 2 awards as 1st runner up at IMT, Ghaziabad, and BIMTECH
● Poshali W shared award at the Hindustan Coca-Cola Beverages Business Quiz
along with students from IIM Lucknow and IIM Raipur.

The 1st batch of Big Data Analytics at FORE School breaks record in SIP offers
The 1st batch of Big Data Analytics at FORE School breaks record in SIP offers

Due to the Covid19 pandemic worldwide, the survival of many businesses now depends on their online presence. Digital operations is now a lifeline for MSMEs and other sectors. Big data analysts are responsible to evaluate performance or predict future requirements, which will accelerate the demand for data analysts in newer and wider areas, changing the way business has been done and the way it used to work. The size of the analytics market will evolve to at least one-third of the global IT market from the current one-tenths, as per experts, said Prof. Dr. Sanghamitra Buddhapriya, Dean (Academics), FORE School of Management, New Delhi.

Incidentally, FORE School has been offering certification in Big Data Analytics for Business & Management, in collaboration with the University of California Riverside for the past few years. The program was designed for executives from public and private sectors, academicians, data scientists, developers, or anyone interested to get an edge in their careers.

Roles offered in Big Data Analytics and Top recruiters

Data analyst, Business analyst, Data Scientists, Associate Business Analyst, Associate – Marketing Analytics, Decision Scientists and so on. Some of the top recruiters in this field are IBM, Microsoft, Google, Apple, Oracle, Amazon, Facebook, Capgemini, ITC Infotech, PwC, EY, and others. “A specialty in BDA or a dual specialty will definitely have an edge”, added Prof. Buddhapriya.


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