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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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A Nearby Supernova May End Dark Matter Search, Claims New Study

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A Nearby Supernova May End Dark Matter Search, Claims New Study

The pursuit of understanding dark matter, which comprises 85 percent of the universe’s mass, could take a significant leap forward with a nearby supernova. Researchers at the University of California, Berkeley, led by Associate Professor of Physics Benjamin Safdi, have theorised that the elusive particle known as the axion might be detected within moments of gamma rays being emitted from such an event. Axions, predicted to emerge during the collapse of a massive star’s core into a neutron star, could transform into gamma rays in the presence of intense magnetic fields, offering a potential breakthrough in physics.

Potential Role of Gamma-Ray Telescopes

The study was published in Physical Review Letters and revealed that the gamma rays produced from axions could confirm the particle’s mass and properties if detected. The Fermi Gamma-ray Space Telescope, currently the only gamma-ray observatory in orbit, would need to be pointed directly at the supernova, with the likelihood of this alignment estimated at only 10 percent. A detection would revolutionise dark matter research, while the absence of gamma rays would constrain the range of axion masses, rendering many existing dark matter experiments redundant.

Challenges in Catching the Event

For detection, the supernova must occur within the Milky Way or its satellite galaxies—an event averaging once every few decades. The last such occurrence, supernova 1987A, lacked sensitive enough gamma-ray equipment. Safdi emphasised the need for preparedness, proposing a constellation of satellites, named GALAXIS, to ensure 24/7 sky coverage.

Axion’s Theoretical Importance

The axion, supported by theories like quantum chromodynamics (QCD) and string theory, bridges gaps in physics, potentially linking gravity with quantum mechanics. Unlike neutrinos, axions could convert into photons in strong magnetic fields, providing unique signals. Laboratory experiments like ABRACADABRA and ALPHA are also probing for axions, but their sensitivity is limited compared to the scenario of a nearby supernova. Safdi expressed urgency, noting that missing such an event could delay axion detection by decades, underscoring the high stakes of this astrophysical endeavour.

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Fastest-Moving Stars in the Galaxy May be Piloted by Aliens, New Study Suggests

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Fastest-Moving Stars in the Galaxy May be Piloted by Aliens, New Study Suggests

Intelligent extraterrestrial civilisations might be utilising stars as massive interstellar vehicles to explore the galaxy, according to a theory proposed by Clement Vidal, a philosopher at Vrije Universiteit Brussel in Belgium. His research suggests that alien species could potentially accelerate their binary star systems to traverse vast cosmic distances. While such a concept is purely hypothetical and unproven, Vidal’s recent paper, which has not undergone peer review, raises intriguing possibilities about advanced extraterrestrial engineering.

Concept of Moving Star Systems

The study was published in the Journal of the British Interplanetary Society. As per a report by LiveScience, the idea revolves around the notion that alien civilisations, instead of building spacecraft for interstellar travel, might manipulate entire star systems to travel across the galaxy. Vidal highlights binary star systems, particularly those involving neutron stars and smaller companion stars, as ideal candidates. Neutron stars, due to their immense gravitational energy, could serve as anchors for devices designed to propel the system by selectively ejecting stellar material.

Vidal explained in the paper that uneven heating or manipulation of magnetic fields on a star’s surface could cause it to eject material in one direction. This process would create a reactionary thrust, propelling the binary system in the opposite direction. The concept provides a way to travel while preserving planetary ecosystems, making it a theoretically viable method for species reliant on their home systems.

Known Examples with High Velocities

Astronomers have identified hypervelocity stars, such as the pulsars PSR J0610-2100 and PSR J2043+1711, which exhibit high accelerations. While their movements are believed to be natural phenomena, Vidal suggests they could be worth further investigation to rule out potential artificial influences.

This theory adds an unconventional angle to the search for intelligent life, expanding possibilities beyond traditional methods of exploration like searching for signals or probes. The research underscores the importance of considering advanced and unconventional methods aliens might employ to navigate the galaxy.

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Hubble Telescope Finds Unexpectedly Hot Accretion Disk in FU Orionis

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Hubble Telescope Finds Unexpectedly Hot Accretion Disk in FU Orionis

NASA’s Hubble Space Telescope has provided new insights into the young star FU Orionis, located in the constellation Orion. Observations have uncovered extreme temperatures in the inner region of its accretion disk, challenging current models of stellar accretion. Using Hubble’s Cosmic Origins Spectrograph and Space Telescope Imaging Spectrograph, astronomers captured far-ultraviolet and near-ultraviolet spectra, revealing the disk’s inner edge to be unexpectedly hot, with temperatures reaching 16,000 kelvins—almost three times the Sun’s surface temperature.

A Star’s Bright Outburst Explained

First observed in 1936, FU Orionis became a hundred times brighter in months and has remained a unique object of study. Unlike typical T Tauri stars, its accretion disk touches the stellar surface due to instabilities. These are caused by the disk’s large mass, interactions with companion stars, or material falling inwards. Lynne Hillenbrand, a co-author from Caltech, in a statement said that the ultraviolet brightness seen exceeded predictions, revealing a highly dynamic interface between the star and its disk.

Implications for Planet Formation

As per a report by NASA, the study holds significant implications for planetary systems forming around such stars. The report further quoted Adolfo Carvalho, lead author of the study, saying that while distant planets in the disk may experience altered chemical compositions due to outbursts, planets forming close to the star could face disruption or destruction. This revised model provides critical insights into the survival of rocky planets in young star systems, he further added.

Future Investigations on FU Orionis

The research team continues to examine spectral emission lines in the collected data, aiming to map gas movement in the star’s inner regions. Hillenbrand noted that FU Orionis offers a unique opportunity to study the mechanisms at play in eruptive young stars. These findings, published in The Astrophysical Journal Letters, showcase the ongoing value of Hubble’s ultraviolet capabilities in advancing stellar science.

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