Private Tokyo girls' school in deep ferment

The Japan Times

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.


Facial recognition used against concert ticket scalping in Japan

The Japan Times

When a 48-year-old male fan of girl band Momoiro Clover Z arrived at a recent concert, he looked into the camera of a facial-recognition device to get his pre-paid ticket. In the past, I used to wait for 30 minutes to an hour before I was able to get in," said the man from Yokohama. The concert was taking place at Seibu Prince Dome in Saitama Prefecture. Operators of the group's concerts introduced the technology in July 2014 to combat scalping. At first, staff would check the concertgoers' IDs.


A talking head architecture for entertainment and experimentation

AAAI Conferences

Kim Binsted Sony Computer Science Lab 3-14-13 Higashigotanda Shinagawa-ku, Tokyo 141 Abstract Byrne is a talking head system, developed with two goals in mind: to allow artists to create entertaining characters with strong personalities, expressed through speech and facial animation; and to allow cognitive scientists to implement and test theories of emotion and expression. Here we emphasize the latter aim. We describe Byrne's design, and discuss some ways in which it could be used in affect-related experiments. Byrne's first domain is football commentary; that is, Byrne provides an emotionally expressive running commentary on a RoboCup simulation league football game. We will give examples from this domain throughout this paper.


Robot wiz: Your next phone could be a Telenoid

AITopics Original Links

With child-like eyes staring out from an expressionless face, the Telenoid R1 does look a little creepy. But if Professor Hiroshi Ishiguro of Japan's Osaka University has his way, a miniature Telenoid that lets you "feel" the presence of the party on the other line could soon replace the cell phones of today. It turns out the future could be just around the corner as the roboticist said a prototype of the mobile "Elfoid" would be ready in a few months. Speaking today at the sneak preview of the Singapore-based Asia on the Edge festival--an annual showcase of ideas and cultures from Asia--Ishiguro is most regarded for his development of lifelike androids. He has even created a mechanical doppelganger of himself called Geminoid in his bid to understand humans.


Neural Style Transfer: Creating Art with Deep Learning using tf.keras and eager execution

#artificialintelligence

In this tutorial, we will learn how to use deep learning to compose images in the style of another image (ever wish you could paint like Picasso or Van Gogh?). This is known as neural style transfer! This is a technique outlined in Leon A. Gatys' paper, A Neural Algorithm of Artistic Style, which is a great read, and you should definitely check it out. Neural style transfer is an optimization technique used to take three images, a content image, a style reference image (such as an artwork by a famous painter), and the input image you want to style -- and blend them together such that the input image is transformed to look like the content image, but "painted" in the style of the style image. For example, let's take an image of this turtle and Katsushika Hokusai's The Great Wave off Kanagawa: Now how would it look like if Hokusai decided to add the texture or style of his waves to the image of the turtle?