A systematic literature review on the impact of AI models on the security of code generation.

Introduction: Artificial Intelligence (AI) is increasingly used as a helper to develop computing programs. While it can boost software development and improve coding proficiency, this practice offers no guarantee of security. On the contrary, recent research shows that some AI models produce software with vulnerabilities.

Cholesteric Liquid Crystal Shells as Enabling Material for Information-Rich Design and Architecture.

The responsive and dynamic character of liquid crystals (LCs), arising from their ability to self-organize into long-range ordered structures while maintaining fluidity, has given them a role as key enabling materials in the information technology that surrounds us today. Ongoing research hints at future LC-based technologies of entirely different types, for instance by taking advantage of the peculiar behavior of cholesteric liquid crystals (CLCs) subject to curvature. Spherical shells of CLC reflect light omnidirectionally with specific polarization and wavelength, tunable from the UV to the infrared (IR) range, with complex patterns arising when many of them are brought together.

Transparent Medical Data Systems.

Transparency is described as the quality to be open about policies and practices. It is intended to inform end users of what happens to their data. It promotes good quality of service and is believed to sustain people's demand for privacy.

High-fidelity spherical cholesteric liquid crystal Bragg reflectors generating unclonable patterns for secure authentication.

Monodisperse cholesteric liquid crystal microspheres exhibit spherically symmetric Bragg reflection, generating, via photonic cross communication, dynamically tuneable multi-coloured patterns. These patterns, uniquely defined by the particular sphere arrangement, could render cholesteric microspheres very useful in countless security applications, as tags to identify and authenticate their carriers, mainly physical objects or persons. However, the optical quality of the cholesteric droplets studied so far is unsatisfactory, especially after polymerisation, a step required for obtaining durable samples that can be used for object identification.

Reading the tea leaves in an intelligent Coffee Corner: challenges for understanding behavior.

This article discusses the challenges for methodological innovation on the basis of experiences in an experimental Living Lab setting: a context-aware Coffee Corner in a research institute. A context-aware infrastructure collects sensory information on users while they move and interact. People getting coffee can use a variety of services offered in the intelligent environment at the Coffee Corner's site; for example, a colleague-radar application allows users to see the current positions of their colleagues in the building.