
Wall Street’s Most Hated 3 Letters Prove Too Risky to Ignore
As the label “ESG” ends up among the most hated on Wall Street, the financial cost of ignoring
2023-08-17 01:55

Factbox-U.S IPO market poised for strong finish in 2023 amid a flurry of listings
By Chibuike Oguh NEW YORK U.S. investors are awaiting a slew of initial public offerings (IPO) in coming
2023-09-07 18:28

Marvel's Spider-Man 2 Cuban flag fix on the way
Insomniac Games is going to ensure the flag issue is resolved.
2023-10-23 20:18

Home Improvement Retailers Compete with Amazon and Win, J.D. Power Finds
TROY, Mich.--(BUSINESS WIRE)--May 17, 2023--
2023-05-17 20:26

Get a refurbished Microsoft Surface Pro 6 for under $400
TL;DR: As August 14, get this refurbished Microsoft Surface Pro 6 for just $375.99 —
2023-08-14 17:58

Soul Fighter Evelynn Skin Splash Art, Price, Release Date, How to Get
Soul Fighter Evelynn skin splash art, price, release date and how to get the League of Legends skin during Soul Fighter.
2023-07-19 00:45

Energy Department announces largest-ever investment in 'carbon removal'
The Department of Energy announced Friday it is awarding up to $1.2 billion to two projects that promise to remove carbon dioxide from the air in what officials said was the largest investment in “engineered carbon removal” in history
2023-08-11 17:16

Smartsheet Unveils the Next Generation of its Enterprise Work Management Platform to Unlock Customer Potential at Scale
BELLEVUE, Wash.--(BUSINESS WIRE)--Sep 19, 2023--
2023-09-20 00:18

Cambodia: Hun Sen quits Facebook on eve of poll campaign
Facebook parent Meta's oversight body has recommended his suspension over an inflammatory video.
2023-06-30 12:48

MANSCAPED® Introduces The Handyman™ Compact Electric Face Shaver
SAN DIEGO--(BUSINESS WIRE)--Jul 25, 2023--
2023-07-26 05:53

Apex Legends Pick Rates in Season 18: Most Popular Legends
The Apex Legends pick rates in Season 18 revealed Octane, Revenant, and Pathfinder as the three most popular Legends.
2023-09-14 01:46

Nasa’s new AI gives ‘30 minutes of advance warning’ before killer solar superstorms strike Earth
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
2023-05-15 13:21
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