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55-year-old woman in Telangana commits Suicide Fearing loss of Rs 54 lakh due to Demonetization of big Currency notes by Government

Fearing that all their currency notes will turn mere pieces of paper,Kandukuri Vinoda, 55, hanged herself at her house in Shenagapauram when her husband and son were asleep

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Indian currency notes. Pixabay

Hyderabad, Nov 11, 2016: Fearing that she will lose Rs 54 lakh because of demonetization of big currency notes, a woman in Telangana’s Mahabubabad district committed suicide, police said on Thursday.

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Kandukuri Vinoda, 55, hanged herself at her house in Shenagapauram when her husband and son were asleep.

[bctt tweet=”The farming family was shocked due to sudden announcement by the central government on November 8. ” username=””]

A few days ago the family had sold their 12 acre agricultural land for Rs 56.40 lakh to meet expenses for the treatment of Vinoda’s ailing husband.

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After spending Rs 1.4 lakh, they were keeping the remaining cash, all in Rs 1,000 and Rs 500 denominations at home. The family was planning to buy land at some other place for agriculture.

They got panicked when Prime Minister Narendra Modi announced that the big currency notes were no longer valid tender.

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Family sources said there was heated argument as Vinoda was unhappy over selling the entire land. Fearing that all their currency notes will turn mere pieces of paper, Vinoda committed suicide. (IANS)

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New AI can Reduce Risk of Suicide Among Youth

AI can help prevent suicide among youth

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Researchers from USC developed an AI that can prevent suicide risks among youth. Lifetime Stock

In a bid to help mitigate the risk of suicide especially among the homeless youth, a team of researchers at University of California (USC) has turned their focus towards Artificial Intelligence (AI).

Phebe Vayanos, an associate director at USC’s Center for Artificial Intelligence in Society (CAIS), and her team have been working over the last couple of years to design an algorithm capable of identifying who in a given real-life social group would be the best persons to be trained as “gatekeepers” capable of identifying warning signs of suicide and how to respond.

“Our idea was to leverage real-life social network information to build a support network of strategically positioned individuals that can ‘watch-out’ for their friends and refer them to help as needed,” Vayanos said.

Vayanos and study’s lead author Aida Rahmattalabi investigated the potential of social connections such as friends, relatives and acquaintances to help mitigate the risk of suicide.

“We want to ensure that a maximum number of people are being watched out for, taking into account resource limitations and uncertainties of open world deployment,” Vayanos said.

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The AI algorithm can improve the efficiency of suicide prevention trainings. Lifetime Stock

For this study, Vayanos and Rahmattalabi looked at the web of social relationships of young people experiencing homelessness in Los Angeles, given that 1 in 2 youth who are homeless have considered suicide.

“Our algorithm can improve the efficiency of suicide prevention trainings for this particularly vulnerable population,” Vayanos said.

An important goal when deploying this AI system is to ensure fairness and transparency.

“This algorithm can help us find a subset of people in a social network that gives us the best chance that youth will be connected to someone who has been trained when dealing with resource constraints and other uncertainties,” said study co-author Anthony Fulginiti.

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This work is particularly important for vulnerable populations, say the researchers, particularly for youth who are experiencing homelessness.

The paper is set to be presented at the 33rd Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, Canada, this month. (IANS)