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According to NCRB Report, Suicide Rates in India Saw a Decline in 2016 with 10.3%

As per the report, the rate of accidental deaths (per lakh of population) has remained unchanged at 32.8 per cent in 2016

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Suicide
The Suicide rate in cities in 2016 was 13 per cent as compared to the all-India suicide rate of 10.3 per cent. Pixabay

The all-India suicide rate per lakh population saw a decline in 2016 with 10.3 per cent Suicide cases reported compared to the 10.6 per cent lodged in 2015, the annual ‘Accidental Deaths & Suicides in India’ (ADSI) data released by the National Crime Records Bureau (NCRB) said.

The major causes of suicides are due to family problems not related to marriage (29.2 per cent) and ‘illness’ (17.1 per cent), marriage related issues (5.3 per cent) and drug abuse or alcohol addiction (4 per cent), said the ADSI-2016 report furnished by 36 states and Union Territories (UTs) and 53 Metropolitan Cities (which have a population of 1 million or 10 lakh or more as per the population Census, 2011) by State Crime Records Bureaus and Crime Investigation Departments.

The suicide rate in cities in 2016 was 13 per cent as compared to the all-India suicide rate of 10.3 per cent.

As per the report, the rate of accidental deaths (per lakh of population) has remained unchanged at 32.8 per cent in 2016.

A total of 8,684 deaths occurred in the country due to causes attributable to forces of nature during 2016. Of these accidental deaths, 38.2 per cent deaths occurred due to ‘Lightning’, 15.4 per cent deaths due to ‘Heat or Sun Stroke’ and 8.9 per cent deaths due to ‘Flood’.

Suicide
The major causes of Suicide Cases are due to family problems not related to marriage (29.2 per cent) and ‘illness’ (17.1 per cent), marriage related issues (5.3 per cent) and drug abuse or alcohol addiction (4 per cent). Pixabay

A total of 4,09,537 persons died in accidental deaths due to ‘Other Causes’ (not attributable to nature) during 2016. The major causes of accidental deaths were ‘Traffic Accidents’ (43.4 per cent), ‘Sudden Deaths’ (10.2 per cent), ‘Drowning’ (7.3 per cent), ‘Poisoning’ (5.6 per cent), ‘Falls’ (4.2 per cent) and ‘Accidental Fire’ (4.1 per cent).

While releasing the data, the NCRB clarified that it only compiles and collates the information and presents it in the form of this report. The NCRB is not responsible for the authenticity of the information, as data is being furnished by states and UTs.

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It said that the data collection for ADSI-2017 and 2018 reports was initiated in July this year and the reports are planned to be released by December 31. (IANS)

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This AI System Can Evade Censorship In India, China and Kazakhstan

Researchers develop an AI tool that evades censorship in India, China and Kazakhstan

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(AI)-based system automatically learns to evade censorship in India, China and Kazakhstan. Pixabay

Researchers have developed an Artificial Intelligence (AI)-based system that automatically learns to evade censorship in India, China and Kazakhstan.

The tool, called Geneva (short for Genetic Evasion), found dozens of ways to circumvent censorship by exploiting gaps in censors’ logic and finding bugs that the researchers said would have been virtually impossible for humans to find manually.

The researchers are scheduled to introduce Geneva during a peer-reviewed talk at the Association for Computing Machinery’s 26th Conference on Computer and Communications Security in London on Thursday.

“With Geneva, we are, for the first time, at a major advantage in the censorship arms race,” said Dave Levin, an assistant professor of computer science at the University of Maryland in the US and senior author of the paper.

“Geneva represents the first step toward a whole new arms race in which artificial intelligence systems of censors and evaders compete with one another. Ultimately, winning this race means bringing free speech and open communication to millions of users around the world who currently don’t have them,” Levin said.\

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This AI system that evades censorship is called ‘Geneva’. Pixabay

To demonstrate that Geneva worked in the real world against undiscovered censorship strategies, the team ran Geneva on a computer in China with an unmodified Google Chrome browser installed.

By deploying strategies identified by Geneva, the user was able to browse free of keyword censorship.

The researchers also successfully evaded censorship in India, which blocks forbidden URLs, and Kazakhstan, which was eavesdropping on certain social media sites at the time, said a statement from the University of Maryland.

All information on the Internet is broken into data packets by the sender’s computer and reassembled by the receiving computer.

One prevalent form of Internet censorship works by monitoring the data packets sent during an Internet search.

The censor blocks requests that either contain flagged keywords (such as “Tiananmen Square” in China) or prohibited domain names (such as “Wikipedia” in many countries).

When Geneva is running on a computer that is sending out web requests through a censor, it modifies how data is broken up and sent, so that the censor does not recognise forbidden content or is unable to censor the connection.

Known as a genetic algorithm, Geneva is a biologically inspired type of AI that Levin and his team developed to work in the background as a user browses the web from a standard Internet browser.

Like biological systems, Geneva forms sets of instructions from genetic building blocks. But rather than using DNA as building blocks, Geneva uses small pieces of code.

Censorship
By deploying strategies identified by Geneva, the user is able to browse free of keyword censorship. Pixabay

Individually, the bits of code do very little, but when composed into instructions, they can perform sophisticated evasion strategies for breaking up, arranging or sending data packets.

The tool evolves its genetic code through successive attempts (or generations). With each generation, Geneva keeps the instructions that work best at evading censorship and kicks out the rest.

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Geneva mutates and cross breeds its strategies by randomly removing instructions, adding new instructions, or combining successful instructions and testing the strategy again.

Through this evolutionary process, Geneva is able to identify multiple evasion strategies very quickly, said the study. (IANS)