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BENGALURU (Reuters) -Apple Inc supplier Foxconn will invest $500 million to set up manufacturing plants in the southern Indian state

Nasa has built an artificial intelligence model to predict where on Earth an impending solar storm would strike, a new system that scientists said can provide “30 minutes of advance warning”. The AI model analyses Nasa satellite data to raise the alarm on dangerous space weather, said researchers from the American space agency’s Goddard Space Center. The warning may provide just enough time for countries to prevent severe impacts of these storms on power grids and other critical infrastructure, according to the new study published recently in the journal Space Weather. Solar storms are caused when the Sun emits a burst of electrically charged plasma in what is called a coronal mass ejection. These charged particles create so-called geomagnetic storms that may cause blackouts and technological malfunctions of instruments on Earth as they interfere with the protective magnetic field around the planet. While these storms range from mild to extreme, their effects could become increasingly disruptive in a technologically dependent world. For instance, a solar storm in 1989 caused blackouts across Quebec, Canada for 12 hours, plunging millions into the dark and closing schools and businesses. Another popular solar superstorm event known as the Carrington Event sparked fires at early telegraph stations in 1859 that prevented messages from being sent. Scientists warned that the risk of such a devastating solar storm is increasing as we approach the next “solar maximum” – a peak in the Sun’s 11-year activity cycle. To prevent such a devastation, Nasa scientists developed the new AI model to identify links between solar wind measurements from previous Sun missions and geomagnetic disturbances observed at ground stations across Earth. The computer model they developed, called DAGGER, can quickly and accurately predict geomagnetic disturbances worldwide, “30 minutes before they occur,” researchers said. When they tested the model against two geomagnetic storms that happened in August 2011 and March 2015, it was able to “quickly and accurately” forecast the storm’s impacts around the world. The new prediction system is the first to combine swift analysis of AI, with real measurements from space and across Earth to generate frequently updated predictions. Scientists believe the early warning provided by the system can help take action to protect infrastructure from an impending solar storm, such as temporarily taking sensitive systems offline or moving satellites to different orbits. Read More Stunning aurora lights up skies over Australia: ‘Brightest one I’ve ever seen’ How a severe solar storm could leave a lasting impact on our world The world is not yet ready to overcome a once-in-a-century solar superstorm, warn scientists Astronomers find ‘objects that no one has ever seen before’ Saturn’s rings are no more than 400 million years old – study Strange sounds recorded by balloons in stratosphere leave scientists puzzled

By Maki Shiraki and Makiko Yamazaki TOKYO Kioxia Holdings Corp and Western Digital Corp are speeding up merger

The agency tasked with securing America's airports is testing the use of facial recognition technology at a number of airports across the country

In a vertical city like New York, any serious effort to address climate change has to focus on the greenhouse gas emissions caused by buildings

The Philadelphia Inquirer has experienced the most significant disruption to its operations in 27 years due to what the newspaper calls a cyberattack

Australia’s center-left Labor government has approved its first new coal mine since it came to power a year

A new 'Hannah Swensen' movie is on its way and we have all the details regarding it

Hardly any sustainable funds would consistently be able to market themselves as such in the UK, the US

Take the Desktop PCs Survey (US Only) OFFICIAL SWEEPSTAKES RULES NO PURCHASE NECESSARY TO ENTER

BERLIN--(BUSINESS WIRE)--May 14, 2023--

Are you addicted to your smartphone? Many of us can't seem to stop checking email,