Reaching the Masses:A New Subdiscipline of App Programmer Education

Programmers’ lack of knowledge and interest in secure development threatens everyone who uses mobile apps. The rise of apps has engaged millions of independent app developers, who rarely encounter any but low level security techniques. But what if software security were presented as a game, or a story, or a discussion? What if learning app security techniques could be fun as well as empowering? Only by introducing the powerful motivating techniques developed for other disciplines can we hope to upskill independent app developers, and achieve the security that we’ll need in 2025 to safeguard our identities and our data

Embodiment based Object Recognition

In this paper, we propose a new architecture for recognizing objects based on a concept "embodiment" as one of primitive functions for a cognitive robot. We define the term "embodiment" as the extent of the agent's body, locomotive ability and its sensor. According to embodiment, an object is represented by reaching action paths, which correspond to a set of sequences of movements taken by the agent for reaching the object. Such behavior is acquired by the trial-and-error method based on the visual and tactile information. Visual information is used to obtain sensorimotor mapping which represents the relationship between the change of object's appearance and the movement of the agent. On the other hands, tactile information is utilized to evaluate the change of physical condition of the object caused by such movement. By means of this method, the agent can recognize an object without depending on its position and orientation in the environment. To show the validity of our method, we show an experimental result of computer simulation