A woman flying from Chicago to Marquette, Michigan was left baffled this week, after being mistaken for a baby. Patricia, 101, was boarding the flight with her daughter, Kris, when she was confronted by the cabin crew. Bizarrely, they had expected her to be aged one, due to an error with American Airlines' booking system. Patricia, who did not want her surname shared, was born in 1922, rather than 2022 - something the computer system could not seem to accept. Speaking to the BBC, who witnessed the mix-up, she said: 'It was funny that they thought I was only a little child and I'm an old lady!' A woman flying from Chicago to Marquette, Michigan was left baffled this week, after being mistaken for a baby.

Trouble is brewing among the students of the Girls Domestic Science School, a well-known private institution at Hitotsubashi, Kanda, which enjoys a good reputation in educational circles and has contributed greatly to the advancement of female education, the courses including sewing, embroidery and foreign-style cooking. The school recently received a monetary donation amounting to ¥13,000 from Mr. Kamesaburo Yamashita, the well-known "narikin" of Kobe, who has amassed a big fortune though the sale of steamers. Several days ago the girls school referred to had a visit from an aged lady, who was alleged to have been sent by Mr. Yamashita, the patron of the school, on the mission of selecting a prospective bride for the son or nephew of the narikin. The old lady was treated by the school faculty with marked respect, and as though she came with the object of inspection, the true purpose of her visit being hidden as far as possible. Madame Haruko Hatoyama, the widow of the late Dr. Hatoyama, ex-minister of justice and dean of Waseda who is the superintendent of the teaching staff of the school, ordered the class to stop the lesson and gave the visitor the privilege of leisurely examining the personal beauty of the girl students of the graduating class of a certain course.

Rapid advances in analytical modelling and information processing capabilities, particularly in machine learning (ML) and artificial intelligence (AI), combined with ever more granular data are currently transforming many aspects of everyday life and work. In this blog post we give a brief overview of basic concepts of ML and potential applications at central banks based on our research. We demonstrate how an artificial neural network (NN) can be used for inflation forecasting which lies at the heart of modern central banking. We show how its structure can help to understand model reactions. The NN generally outperforms more conventional models.

I can't remember whose idea it was to go out for lunch. It might have been my idea. Of course it was my idea. I start thinking about lunch the second that last morsel of granola hits my taste buds and disappears down that endless cavern known as my belly. Should we order a salad?