Car windshield wipers may help prevent flooding: Study

Agencies
January 21, 2019

Washington, Jan 21: Tracking windshield wiper activity can provide faster, more accurate rainfall data than radar and rain gauge systems currently in place, potentially helping predict and prevent flooding, according to a study.

Researchers at the University of Michigan in the US said that a community armed with that real-time data could move more quickly to prevent flash-flooding or sewage overflows, which represent a rising threat to property, infrastructure and the environment.

Coupled with "smart" storm-water systems -- infrastructure outfitted with autonomous sensors and valves -- municipalities could potentially take in data from connected vehicles to predict and prevent flooding, according to the study published in the journal Scientific Reports.

"These vehicles offer us a way to get rainfall information at resolutions we had not seen before," said Branko Kerkez, an assistant professor at the University of Michigan.

"It is more precise than radar, and allows us fill gaps left by existing rain gauge networks," Kerkez said.

Our best warnings for flood conditions come from the combination of radar tracking from satellites and rain gauges spread over a wide geographic area.

Both have poor spatial resolution, meaning they lack the ability to capture what is happening at street-level, researchers said.

"Radar has a spatial resolution of a quarter of a mile and a temporal resolution of 15 minutes," said Ram Vasudevan, an assistant professor at the University of Michigan.

"Wipers, in contrast, have a spatial resolution of a few feet and a temporal resolution of a few seconds which can make a huge difference when it comes to predicting flash flooding," Vasudevan said.

He said because of the sparseness of radar and rain gauge data, we do not have enough information about where rain is occurring or when it is occurring to reduce the consequences of flooding.

"If you have fine-grain predictions of where flooding occurs, you can control water networks efficiently and effectively to prevent all sorts of dangerous chemicals from appearing inside our water supply due to runoff," Vasudevan said.

Researchers said creating a blanket system of sensors across a city for street-level data on rain events would be costly.

By utilising connected vehicles, they are tapping a resource already in place now that will only grow larger in the future.

Researchers collected data from a set of 70 cars outfitted with sensors embedded in windshield wipers and dashboard cameras.

Kerkez and Vasudevan said their research represents a first step in creating a smart infrastructure system that is fed by and responds to data as it is collected from vehicles on the road.

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Agencies
January 7,2020

Washington, Jan 7: Facebook will ban deepfake videos ahead of the US elections but the new policy will still allow heavily edited clips so long as they are parody or satire, the social media giant said Tuesday.

Deepfake videos are hyper-realistic doctored clips made using artificial intelligence or programs that have been designed to accurately fake real human movements.

In a blog published following a Washington Post report, Facebook said it would begin removing clips that were edited--beyond for clarity and quality--in ways that "aren't apparent to an average person" and could mislead people.

Clips would be removed if they were "the product of artificial intelligence or machine learning that merges, replaces or superimposes content onto a video, making it appear to be authentic," the statement from Facebook vice-president Monika Bickert said.

However, the statement added: "This policy does not extend to content that is parody or satire, or video that has been edited solely to omit or change the order of words."

US media noted the new guidelines would not cover videos such as the 2019 viral clip -- which was not a deepfake -- of House Speaker Nancy Pelosi that appeared to show her slurring her words.

Facebook also gave no indication on the number of people assigned to identify and take down the offending videos, but said videos failing to meet its usual guidelines would be removed, and those flagged clips would be reviewed by teams of third-party fact-checkers -- among them AFP.

The news agency has been paid by the social media giant to fact-check posts across 30 countries and 10 languages as part of a program starting in December 2016, and including more than 60 organisations.

Content labeled "false" is not always removed from newsfeeds but is downgraded so fewer people see it -- alongside a warning explaining why the post is misleading.

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Agencies
July 4,2020

Twitter has joined efforts to do away with racially loaded terms such as master, slave and blacklist from its coding language in the wake of the death of African-American George Floyd and ensuing Black Lives Matter protests.

The project started even before the current movement for racial justice escalated following the death of 46-year-old George Floyd in police custody in May.

The use of terms such as "master" and "slave" in programming language originated decades ago. While "master" is used to refer to the primary version of a code, "slave" refers to the replicas. Similarly, the term "Blacklist" is used to refer to items which are meant to be automatically denied.

The efforts to change these terms in favour of more inclusive language at Twitter were initiated by Regynald Augustin and Kevin Oliver and the microblogging platform is now backing their efforts.

"Inclusive language plays a critical role in fostering an environment where everyone belongs. At Twitter, the language we have been using in our code does not reflect our values as a company or represent the people we serve. We want to change that. #WordsMatter," Twitter's engineering team said in a post on Thursday.

As per the recommendations from the team, the term "whitelist" could be replaced by "allowlist" and "blacklist" by "denylist".

Similarly, "master/slave" could be replaced by "leader/follower", "primary/replica" or "primary/standby".

Twitter, however, is not the first to start a project to bring inclusivity in programming language.

According to a report in CNET, the team behind the Drupal online publishing software started using "primary/replica" in place of "master/slave" as early as in 2014.

The use of the terms "master/slave" was also dropped by developers of the Python programming language in 2018.

Now similar efforts are underway at Microsoft's Github and LinkedIn divisions as well, said the report.

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Agencies
May 15,2020

Kolkata, May 15: Veteran Bengali author Debesh Roy, who was conferred the Sahitya Akademi award for his novel 'Teesta Parer Brittanto', died at a private hospital in Kolkata on Thursday, his family members said.

Roy was 84 and he is survived by his son. His wife had died earlier.

He was admitted to the hospital near his residence at Baguihati, in the eastern fringes of the city, on Wednesday after having symptoms like sodium potasium imbalance, sugar problem and breathing problem, his family members said.

He suffered a massive cardiac arrest and died at 10.50 PM.

A regular contributor to a number of Bengali dailies, he was a staunch critic of the attacks on liberals by in the country in recent times and attended protest meetings despite his failing health.

He was born in Pabna in present-day Bangladesh on December 17, 1936. He had five decades of career as a writer.

Besides Teesta Parer Britanta', he will be remembered for books like Borisaler Jogen Mondal , Manush Khun Kore Keno and Samay Asamayer Brittanto . His first book was Jajati.

His last rites will be performed tomorrow.

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