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With the aid of Twitter and AI, researchers to develop flood warning system

In a study, published in the journal Computers & Geosciences, the researchers showed how AI can be used to extract data from Twitter and crowdsourced information from mobile phone apps to build up hyper-resolution monitoring of urban flooding.

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AI can play a key role in future flood warning and monitoring systems
AI can play a key role in future flood warning and monitoring systems

London, Dec 26: Researchers are combining Twitter, citizen science and artificial intelligence (AI) techniques to develop an early-warning system for flood-prone communities in urban areas.

In a study, published in the journal Computers & Geosciences, the researchers showed how AI can be used to extract data from Twitter and crowdsourced information from mobile phone apps to build up hyper-resolution monitoring of urban flooding.

“By combining social media, citizen science and artificial intelligence in urban flooding research, we hope to generate accurate predictions and provide warnings days in advance,” said Roger Wang from University of Dundee in Britain.

Urban flooding is difficult to monitor due to complexities in data collection and processing.

This prevents detailed risk analysis, flooding control and the validation of numerical models.

The research team set about trying to solve this problem by exploring how the latest AI technology can be used to mine social media and apps for the data that users provide.

They found that social media and crowdsourcing can be used to complement datasets based on traditional remote sensing and witness reports.

Applying these methods in case studies, they found them to be genuinely informative and that AI can play a key role in future flood warning and monitoring systems.

“The present recording systems — remote satellite sensors, a local sensor network, witness statements and insurance reports — all have their disadvantages. Therefore, we were forced to think outside the box and one of the things that occurred to us was how Twitter users provide real-time commentary on floods,” Wang said.

“A tweet can be very informative in terms of flooding data. Key words were our first filter, then we used natural language processing to find out more about severity, location and other information,” Wang said.

The researchers applied computer vision techniques to the data collected from MyCoast, a crowdsourcing app, to automatically identify scenes of flooding from the images that users post.

“We found these big data-based flood monitoring approaches can definitely complement the existing means of data collection and demonstrate great promise for improving monitoring and warnings in future,” Wang said.

Twitter data was streamed over a one-month period in 2015, with the filtering keywords of “flood”, “inundation”, “dam”, “dike”, and “levee”. More than 7,500 tweets were analysed over this time.

“We have reached the point of 70 per cent accuracy and we are using the thousands of images available on MyCoast to further improve this,” Wang said.

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Bengaluru- ‘The Silicon Valley of India’ Hosted a Summit on AI

The panel was joined by Kunal Jain (Analytics Vidhya), Om Deshmukh (Yodlee), Avi Patchava (Bright Money), Eric Weber (List Report) and Tarry Singh

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A panel discussion involving top industry leaders in AI discussed that despite increased interest in and adoption of Artificial Intelligence (AI) in the enterprise. Pixabay

At a time when Artificial Intelligence also known as AI and Machine Learning is taking over the world, the Silicon Valley of India – Bengaluru – hosted a vibrant summit on the issue.

The summit became a strategic platform for industries and technologies worldwide to understand and leverage the latest innovations and the impact they have on our businesses and daily lives.

A panel discussion involving top industry leaders in AI discussed that despite increased interest in and adoption of Artificial Intelligence (AI) in the enterprise, 85 per cent of AI projects ultimately fail to deliver on their intended promises to business, a statement from the organisers said.

The panel was joined by Kunal Jain (Analytics Vidhya), Om Deshmukh (Yodlee), Avi Patchava (Bright Money), Eric Weber (List Report) and Tarry Singh.

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At a time when Artificial Intelligence also known as AI and Machine Learning is taking over the world, the Silicon Valley of India – Bengaluru – hosted a vibrant summit on the issue. Pixabay

“It’s exciting to see more than 1,000 passionate data science professionals from diverse industries and domains (more than 500 organisations) coming together and building a vibrant Data Science ecosystem in India. Think of this group as a think tank powering hundreds of banks, every eCommerce player and travel portal in the country building algorithms to improve customer experience and deliver business value,” Kunal said.

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Eric Weber, Senior Director and the head of Data Science & Strategic Development at List Reports said: “It is incredible to see the pace of change and innovation in data science in India and DataHack is a foundational part of driving this change. There is no other conference like it and it will continue to play a key role in data science’s development across the country.” (IANS)