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The help of Artificial Intelligence (AI) has been deployed by tech firms and NGOs worldwide to fight the climate change crisis. Gadgets 360 caught up with some, including the team at Sustainable Environment and Ecological Development Society (SEEDS) — a New Delhi-based NGO — and IBM India, to talk about their efforts to apply tech to mitigate the climate crisis.

Although big tech companies are now moving towards measures to become more sustainable (Apple and Facebook have pledged to be carbon neutral by the end of the decade), a lot remains to be done, and this is one of the areas where artificial intelligence is making an impact.

With the UN Climate Change Conference that began in Glasgow on October 31, the discourse on the global climate change crisis is back in the spotlight. The 26th edition of the Conferences of the Parties (COP26) will go on till November 14 and will see global leaders, academic experts, and activists gathering to discuss how to contain the rise in global temperatures.

But while world leaders develop policies and long-term plans, we spoke to companies innovating on the ground to see how they can help contribute to change.

Evading disasters through Sunny Lives

SEEDS developed Sunny Lives, an AI-powered disaster impact model that uses high-resolution satellite imagery to assess the risks of hazard at a hyper-local level. The Sunny Lives project has been executed in partnership with Microsoft and technology partner Gramener, and is being supported under Microsoft’s global programme ‘Artificial Intelligence for Humanitarian Action’.

Mridula Garg, who is leading the Sunny Lives project at SEEDS said that Sunny Lives detects building footprints and then assigns them relative risk scores as values from 1 to 5. “The model takes into account the type of hazard say floods or heat waves, analyses the exposure based on geographic parameters such as slope and vegetation, and uses building classification as a proxy for the socio-economic vulnerability of the inhabitants. The relative risk score assigned after detecting the building footprints is used by our disaster response teams for prioritising families at highest risk,” Garg said.

During the application for an impending cyclone, satellite imagery is procured for Areas of Interest that are selected based on the cyclone’s predicted path issued by the IMD. The Sunny Lives AI Model is then run for these areas to generate the risk scores.

It was clear to the team at SEEDS that the type of building played a significant role in predicting the effect of a disaster on it. For example, a concrete house and a thatched roof dwelling would face a difference in impact from a cyclone even when they are located next to each other. The model was developed from the desire to code this knowledge so that disaster risk assessment could be scaled widely.

Microsoft’s data science team and tech partner Gramener used machine learning to automate the process of identifying dwellings and their types. Satellite images of low-income, highly dense and vulnerable settlements in India were used to identify 7 different categories of dwellings including tarpaulin roofs, metal sheet roofs, double side sloping tiled roofs etc.

The AI model was trained on 15,000 buildings from low-income, highly dense, and vulnerable settlements of Puri and Mumbai. The 15,000 buildings were tagged to build the training dataset for the AI inundation model. A similar exercise is now being done for the cities of Dehradun and Gangtok as the model is being adapted for assessing earthquake risks.

Sunny Lives was deployed at a scale for the first time during cyclone Yaas in May 2021. The model was run for Puri in Odisha, based on which SEEDS reached out to over 1,000 families that were identified as high-risk. Advisories were shared which outlined the steps to be taken in case of evacuation and also suggested low-cost measures to reduce

Garg said that post-disaster impact surveys highlighted that 97 percent of the families found the information useful and were able to reduce losses and take preemptive measures during the cyclone. “In addition, we have recently concluded around 1,500 ground truthing surveys in Puri which will help analyse and further improve the accuracy of the model,” said Garg.

An AI model like Sunny Lives provides an unending possibility to scale across urban geographies and is being adapted for multiple hazards. Deploying the model at scale through collaborations is the next key focus for SEEDS. “We have gathered a lot of interest from several state government authorities and are reaching out to many more. Our vision is to integrate the use of the model for climate change adaptation and disaster management in a way that the hyper-local risk of the communities is understood and pathways for their protection and resilience are put into practice,” Garg said.

Tech firms’ solution to counting CO2

Major companies around the globe have pledged to stop climate change. These companies are facing a challenge with quantifying their emissions and understanding the best way to mitigate the climate change crisis. In response to this, several tech firms have come up with solutions to help businesses prepare for and respond to climate risks.

Salesforce’s team built the Salesforce Sustainability Cloud with a mission to track emissions. The Sustainability Cloud is priced at $4,000 (roughly Rs. 3 lakh) a month. Microsoft is also previewing a tool for calculating emissions called Microsoft Cloud for Sustainability. They are aiming to make it available by mid-2022.

IBM also recently brought out a suite of environmental intelligence software that uses AI to help organisations prepare for and respond to climate risks. The team from IBM said that the suite will help businesses which have deployed it to more easily assess their impact on the planet, and reduce the complexity of regulatory compliance and reporting.

“We wanted to make it easier for companies to both manage and to know about the risk affecting their business operations and to act differently in order to minimise the risks,” said Gargi Dasgupta, Director, IBM Research, India.

The suite puts existing weather data from various sources to use to collect and compile data. IBM said in its blog post that the suite is a Software as a Service (SaaS) solution designed to help organisations monitor for disruptive environmental conditions, predict the potential impacts of climate change, prioritise mitigation and response efforts, and measure and report on environmental initiatives. The IBM Environmental Intelligence Suite utilises the AI-driven innovations from IBM Research.

Shantanu Godbole, the technical lead of IBM’s global research team, said that while assessing how technology would impact climate change, they focused on two areas — mitigation and adaptation. “Mitigation works towards helping organisations meet their net zero carbon emission goals, optimisation of their emissions, and making their business processes more sustainable,” he said.

Godbole added that the focus of their team in terms of adaptation was to help businesses adapt to extreme weather conditions. “Weather forecasting is done for upto one to two weeks into the future. No data is available on the scale of six months or three years down the line. That is a horizon that is an important opportunity area from a planning and decision making perspective. We feel enterprises need to have technology to help make decisions at those times,” Godbole said.


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T Corona Borealis May Erupt Soon: Rare Nova Could Be Visible to Naked Eye

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T Corona Borealis May Erupt Soon: Rare Nova Could Be Visible to Naked Eye

T Corona Borealis is a binary star system in the Northern Crown constellation which is being monitored closely by astronomers worldwide for signs of a rare stellar eruption. The system consists of a white dwarf and a red giant orbiting each other with the white dwarf pulling material from its companion. The gradual accumulation of matter on the surface of dwarf white planet can lead to a thermonuclear explosion, known as a Nova. Scientists recorded the last erupted Nova in 1946. Now, there have been some indications that we might experience another nova outburst in the near future.

The researchers have recorded a brightening event in 2015 followed by a dimming in 2023, which has mirrored the pattern seen in the last eruption. This leads the experts to believe that there might be another nova outburt. If an eruption occurs T Corona Borealis could become visible to the naked eye and shine as brightly as the most prominent stars.

Accretion Activity and Expert Predictions

According to a study published in the Monthly Notices of the Royal Astronomical Society, the system has exhibited behaviour similar to the years leading up to its previous eruption. T Corona Borealis is one of only eleven recurrent novae observed in recorded history with eruptions noted in 1217, 1787, 1866 and 1946. As per the latest data available with the researchers, the accretion disc surrounding the white dwarf has became highly active and bright between 2015 and 2023. The study reveals that this heightened activity could trigger an eruption within a year or two.

There are multiple predictions from the scientists based on orbital analysis suggesting possible eruption dates. As per multiple reports, the Nova outburst might take place between March 27 or November 10 this year or June 25, 2026. The researchers has also suggested a theory regarding a potential third object influencing the binary system. Astronomers like Dr Léa Planquart of Université de Strasbourg and Dr Jeremy Shears of the British Astronomical Association have dismissed this theory citing the absence of supporting evidence. Both experts believe the activity of the accretion disc remains the most likely cause of an impending eruption.

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Scientists Spot a Key Difference in Matter and Antimatter Decay

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Scientists Spot a Key Difference in Matter and Antimatter Decay

A key difference has been observed in the behaviour of matter and antimatter particles by researchers working at a particle physics laboratory. A new measurement has been carried out that recorded the decay of a specific type of matter particle and its antimatter equivalent. This development is being seen as significant because it may explain why the universe is filled with matter while antimatter is nearly absent. The discovery has been described as a step towards solving one of physics’ biggest mysteries.

New Study Reveals Baryon Decay Difference

According to the research shared by the LHCb experiment at CERN and posted on the arXiv preprint server, a difference has been recorded in how a particle called the beauty-lambda baryon and its antimatter counterpart decay. These particles belong to the proton family and are classified as baryons. The report further added that the decay was observed into a proton and three mesons based on data collected between 2009 and 2018.

The evidence suggests that the decay of the beauty-lambda baryon differs from its antimatter twin. According to sources involved in the study the likelihood of this difference being a random occurrence is less than one in three million. Tim Gershon who is a particle physicist at the University of Warwick and part of the research team told Nature that this is the first time such a difference has been spotted in baryons.

Experts Say Findings Could Aid Understanding of Matter’s Prevalence

Tara Shears who is a particle physicist at the University of Liverpool stated to Nature that the observation could offer new insight into why matter is found in abundance while antimatter is not. She said that this imbalance is one of the major unresolved questions in physics.

Yuval Grossman a theoretical physicist from Cornell University mentioned to Nature that while the current measurement does not fully explain the imbalance it helps add a crucial piece to the puzzle.

For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who’sThat360 on Instagram and YouTube.


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China Loses 26 Percent of Its Glaciers Due to Global Warming, Claims New Study

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China Loses 26 Percent of Its Glaciers Due to Global Warming, Claims New Study

China has reportedly witnessed a significant decline in glacier area over the last six decades. As per a new study published online,  the country has lost nearly 26 percent of its total glacier coverage since the 1960s. The study claims that the lost of such glacier area might be due to the rapid increase in global temperatures around the globe. Official data confirmed that close to 7000 small glaciers have entirely vanished from the landscape. The shrinking of glacier masses has been observed to accelerate over the past few years as warming trends continue to intensify.

Glacier Loss Confirmed by Chinese Academy of Sciences

According to a study released by the Northwest Institute of Eco-Environment and Resources under the Chinese Academy of Sciences it was recorded that China’s glacier area had reduced to nearly 46000 square kilometres by 2020. The total number of glaciers was stated to be around 69000 at that time. This marked a steep fall from an earlier figure of approximately 59000 square kilometres reported between 1960 and 1980 when glacier count stood at roughly 46000.

Impact of Glacier Retreat on Water Security and Environment

The melting of glaciers has raised concerns over freshwater availability across several regions. Environmental agencies have cautioned that the loss of glacier mass may result in higher competition for water resources in the years to come. The Tibetan Plateau which hosts a large portion of these glaciers has been referred to as the Third Pole owing to the vast ice reserves it holds.

Efforts to Slow Glacier Melting

Attempts have been made by Chinese authorities to slow the melting process through technological interventions. Artificial snow systems and snow blankets have been deployed as part of these initiatives.

For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who’sThat360 on Instagram and YouTube.


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