East Asia's tech scene is enjoying considerable success. imtmphoto / ShutterstockSilicon Valley has been a universal symbol of innovation for decades. Because of its reputation, governments around the world have tried to foster their own versions by investing heavily in tech hubs.
MVelishchuk/ShutterstockWhen you hear the name Kellogg, Corn Flakes might be the first thing that comes to mind. But John Harvey Kellogg is famous for more than just breakfast cereals.
It is not clear whether local exchanges are particularly useful
The central bank’s outreach to companies has taken on new significance as the outlook for growth and inflation gets cloudier.
Ground Picture/ShutterstockIf you’re a young person today, you’ve probably felt the sting of being called lazy, or caught yourself wondering if you are. Do you sometimes feel guilty when not being productive, or find yourself pretending to be busy?
A shopper who gets SNAP benefits shops for groceries at a supermarket in Bellflower, Calif., on Feb. 13, 2023.
Are you prepared for when the power goes out? To prevent massive wildfires in drought-prone, high-wind areas, electrical companies have begun preemptively shutting off electricity. These planned shutdowns are called public safety power shutoffs, abbreviated to PSPS, and they’re increasingly common.
Prime Minister Kyriakos Mitsotakis has been forced to commit to pay rises for all uniformed personnel after leading ministers and numerous New Democracy MPs called for those serving in the police, coast guard and fire service to be awarded more pay following the recent announcement of wage increases for the armed forces.
Greece’s seasonally adjusted (SA) unemployment rate edged down to 8.6 percent in February, from an upwards revised 9.1 percent in the previous month, Hellenic Statistical Authority (ELSTAT) data showed on Tuesday.
Word embeddings are vectors of real numbers associated with words, designed to capture semantic and syntactic similarity between the words in a corpus of text. We estimate the word embeddings of the European Central Bank’s introductory statements at monetary policy press conferences by using a simple natural language processing model (Word2Vec), only based on the information and model parameters available as of each press conference. We show that a measure based on such embeddings contributes to improve core inflation forecasts multiple quarters ahead.
