If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Mobile phones and wearable devices are now equipped with powerful sensors that allow us to collect information about a user's context and behaviors, including location, communication, environment, phone usage, physical activity and sleep. Existing research has explored the capability of mobile phones and fitness trackers to continuously trackand collect information about the daily behavior of users through their sensing channels and to use this data to analyze the state ofphysical and mental wellbeing suchas sleep duration and quality(Min et al. 2014) and depression( (Doryab et al. 2014; Saeb et al. 2016, 2015)). The widespread use of such devices for research in the ubiquitous and mobile computing communities including pervasive and mobile health as well as their common set of sensing channels gives rise to providing a comprehensive andgeneric framework for data collection and processing that can be shared in the research community. Such framework has the following advantages: - It provides a generic tool for mobile data processing that can be easily used or adapted by other researchers.
IMAGE: This is a screenshot of the Gero Lifespan app. Moscow, March 29, 2018 - Researchers from the longevity biotech company GERO and Moscow Institute of Physics and Technology (MIPT) have shown that physical activity data acquired from wearables can be used to produce digital biomarkers of aging and frailty. Many physiological parameters demonstrate tight correlations with age. Various biomarkers of age, such as DNA methylation, gene expression or circulating blood factor levels could be used to build accurate «biological clocks» to obtain individual biological age and the rate of aging estimations. Yet large-scale biochemical or genomic profiling is still logistically difficult and expensive for any practical applications beyond academic research.