Information Injection to Deep Learning Solutions in Knowledge Transfer

Abstract

We present ``Together about Dementia'', a mobile health app that aims to help persons with dementia when they get lost through the help of caregivers, relatives, and volunteering citizens. When the app detects that a person with dementia is disoriented, wandering, and getting lost, it triggers an alarm that activates a relative and possibly a volunteer in the proximity. A backend system based on a microservice and serverless architecture performs the detection of wandering and the subsequent coordination of users that are put on a mission to the rescue of the person with dementia. The backend system implements an AI technique for spatio-temporal anomaly detection based on location data recorded by the frontend system installed on the portable device of the person with dementia.

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems

“…Early AVR works concentrate on RPMs, a wellestablished benchmark used in measuring human intel-ligence. PGM (Barrett et al 2018), I-RAVEN (Zhang et al 2019a;Hu et al 2021), and G-set (Mańdziuk and Żychowski 2019;Tomaszewska, Żychowski, and Mańdziuk 2022) datasets present RPMs composed of a 3 × 3 grid of context panels, with up to 8 answer panels to choose from. The VAP benchmark (Hill et al 2019), structurally similar to RPMs, comprises matrices with a 2 × 3 context grid and up to 4 answer panels.…”