The number of Americans applying for unemployment benefits fell sharply last week, a sign that U.S. job market remains resilient despite higher interest rates

Former New Mexico State basketball coach Greg Heiar has been hired to coach Mineral Area College, a junior college in Missouri, four months after he was fired in the wake of the Aggies’ hazing scandal

Houston Astros first baseman Jon Singleton hadn’t homered in the majors in eight years and 13 days entering Friday night’s game against the Los Angeles Angels

Artificial intelligence is helping engineers build solar panels out of a “miracle material”. Scientists have long been excited about the possibility of new perovskite tandem solar cells, which could help bring the vastly improved efficiency of perovskite to mass production. They have an efficiency of more than 33 per cent, dramatically higher than conventional silicon solar cells. Those tandem solar cells come with a host of other benefits, too. They rely on inexpensive raw materials and can be made relatively easily. Engineers have faced a problem, however, in making them cheaply and at scale. To make them efficient, manufacturers need to make a very thin, high-grade layer of perovskite. Doing that is difficult. It relies on a complex process that varies significantly, seemingly with little explanation. Trying to improve that process has often relied on a gradual process of trying out new possibilities through trial and error. Now scientists have successfully built a new system that uses artificial intelligence to try and work out how to build those layers better. Instead of picking through video recordings to work out how different layers work, researchers were able to train a computer system to spot the hidden signs of good and bad coatings. After the system was built, it was able to be used better understand how to change the production to make it more efficient, researchers said. “These are extremely exciting results,” said Ulrich W Paetzold, a researcher from the Karlsruhe Institute of Technology, who worked on the new study. “Thanks to the combined use of AI, we have a solid clue and know which parameters need to be changed in the first place to improve production. “Now we are able to conduct our experiments in a more targeted way and are no longer forced to look blindfolded for the needle in a haystack. This is a blueprint for follow-up research that also applies to many other aspects of energy research and materials science.” An article describing the breakthrough, ‘Discovering Process Dynamics for Scalable Perovskite Solar Cell Manufacturing with Explainable AI’, is published in Advanced Materials. Read More Tiny solar-powered van unveiled in Japan Solar panel world record smashed with ‘miracle material’ ‘We let you down’: Peloton apologises for Thanksgiving ride

The Coyotes say owner Alex Meruelo has executed a letter of intent to buy a piece of land for a potential arena in Mesa, Arizona

Chicago White Sox manager Pedro Grifol was ejected in the sixth inning of a game against the Los Angeles Dodgers

Kevin Costner once said he was very short in high school and 'embarrassed' to be around girls who were taller than him

James Arthur can "tap into the pain" of his past for writing songs as he explains he always felt as if he "didn't belong" when he was young.

Pepe's meal is so good he licks the plate clean. In any other Rome establishment, slobbering on one's chicken and mashed potato would be frowned upon -- but this...

By Akash Sriram U.S. electric vehicle startups are expected to show the impact of Tesla's price war when

By Ted Hesson WASHINGTON Former U.S. President Donald Trump, the leading candidate for the Republican presidential nomination in

By Makini Brice WASHINGTON (Reuters) -U.S. Democratic Senator Bob Menendez on Monday denied wrongdoing and vowed to stay in Congress