"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. To develop and validate deep-radiomics models for the diagnosis of osteoporosis using hip radiographs. A deep-radiomics model was developed using 4924 hip radiographs of 4308 patients (3632 women; mean age, 62 years 13 [standard deviation]) obtained between September 2009 and April 2020.

In a quiet aisle of a small supermarket in Tokyo, a robot dutifully goes about its work. It looks like a well-integrated autonomous mechanical worker, but that is something of an illusion. This robot doesn't have a mind of its own. Several miles away, a human worker is controlling its every movement remotely and watching via a virtual reality (VR) headset that provides a robot's eye view. This is the work of Japanese firm Telexistence, whose Model-T robot is designed to allow people to do physical labour in supermarkets and other locations from the comfort of their own homes.

Japanese convenience stores are testing out robots to stock store shelves in hopes of combating the country's labor shortage and allowing human workers to socially distance during a pandemic. FamilyMart, Japan's second largest convenience store chain, has partnered with robotics company Telexistence on an android stock boy named Model-T, after Henry Ford's famous car. Rather than use AI, Model-T is connected to a human operator who manipulates the robot's movements remotely using virtual reality (VR). The seven-foot tall robot has a wide range of motion, necessary for lifting and moving products, with a lag time of only 50 milliseconds between operator and automaton. This week Model-T was rolled out at Lawson, another convenience store that is a subsidiary of Mitsubishi.

The Immigration Game (invented by Don Woods in 1971) extends the solitaire Game of Life (invented by John Conway in 1970) to enable two-player competition. The Immigration Game can be used in a model of evolution by natural selection, where fitness is measured with competitions. The rules for the Game of Life belong to the family of semitotalistic rules, a family with 262,144 members. Woods' method for converting the Game of Life into a two-player game generalizes to 8,192 members of the family of semitotalistic rules. In this paper, we call the original Immigration Game the Life Immigration Game and we call the 8,192 generalizations Immigration Games (including the Life Immigration Game). The question we examine here is, what are the conditions for one of the 8,192 Immigration Games to be suitable for modeling open-ended evolution? Our focus here is specifically on conditions for the rules, as opposed to conditions for other aspects of the model of evolution. In previous work, it was conjectured that Turing-completeness of the rules for the Game of Life may have been necessary for the success of evolution using the Life Immigration Game. Here we present evidence that Turing-completeness is a sufficient condition on the rules of Immigration Games, but not a necessary condition. The evidence suggests that a necessary and sufficient condition on the rules of Immigration Games, for open-ended evolution, is that the rules should allow growth.