"The Hour of Death" .. an artificial intelligence application to guess the date of your death

People have relied on actuar insurance schedules for centuries to determine the possibility of their ages. Artificial intelligence now takes care of this task, and his answers seem to arouse the interest of economists and money managers. The “Death Hour” application is supported by artificial intelligence, which is a new application to measure life, which has proven to be successful among clients paying for the service, as it was downloaded about 125,000 times since its launch in July, according to Sensor Tower to analyze market data. Artificial intelligence of the application is trained in a database of more than 1,200 studies on the average life expectancy that includes approximately 53 million participants. The application is based on information on diet, exercise, stress levels and sleep quality to predict the expected date of death. Brent Franson, his developer, describes the results as a ‘remarkable improvement’ on the standard expectations of life schedules. Despite its dark nature, as it shows a symbolic farewell card for the Day of Death with a picture of wearing lives, the ‘hour of death’ application is popular with people who want to improve their lifestyle. The app was also high in the health and fitness category, but the technology behind it has the potential for broader uses. Deep financial and economic accounts The average life expectancy is an essential element in many financial and economic accounts accepted by governments, companies and individuals, such as retirement income needs, insurance coverage and savings plans. In the United States, which have delayed its peers in the advanced economies of the average life expectancy of its citizens over the past year, the Social Security Administration depends on its death rates, which are used in the financial report of the institution. According to these tables, the 85 -year -old man in the United States is expected to have a death possibility of 10% in one year, and a 5.6 -year -life middle life. However, Fransson notes that such averages can be significantly inaccurate, as new algorithms offer dedicated measurements- similar to a “Death Watch” designed for everyone. These kinds of results have attracted the attention of economists, as it appears by publishing two recent research articles from the National Office for Economic Research. Reflection on the concepts of aging, one of the studies entitled “The Limit of Old Life”, examines how the aging process influences physiological abilities in different ways. The study indicates that many aspects of economic behavior, such as preparation for the entry of the labor market, may not accurately reflect the ages accepted by public policies such as legal retirement age. Researchers from Harvard and London College of Business conclude that the state at age age as an indication of functional ability to societies can lead to failure to “fully benefit from the benefits of growing longevity.” The value of human life in another study on “the value of statistical life”, a measure used in cost analysis and interest in areas such as the regulation of pollution or compensation for work accidents. The researchers based on spending the elderly on medical services that reduce the risk of death. They found that the average value of statistical life at the age of 67 is just under two million dollars for people who reported that their health was ‘excellent’ compared to $ 600,000 for those who reported that their health was ‘good’. Ryan Zabrovski, a financial plan for Krilogy Investment Consulting Company, believes that the most accurate expected life measurements will have a profound effect on retirement savings. “One of the biggest concerns of the elderly and retirees is to run their money before their death,” Zabrovsky says in his next book, “The Leding Time”. This indicates that decisions such as the amount of savings and the velocity of asset clouds usually depend on general and unreliable averages for expectations. It is believed that tests with artificial intelligence can help reduce this mystery in the future. The greater demand for stock and technology has the potential to improve the expected age, increasing the risk of saving. Zabrovsky believes that long retirement will push savings to look for higher returns, increasing the demand for stocks at the expense of bonds. However, there will be boundaries for this technology. There are completely unexpected factors, such as accidents or epidemics, as well as unpredictable elements such as lonely, that believe the average life expectancy or gratitude that increases it. The gap between the rich and the poor. Several studies indicate a clear gap between the average age of the rich and the poor. In a study published by the American Medical Association, the gap in the average expected life between the richest 1% and the poorest of 1% of Americans at the age of forty is about 15 years for men and ten years for women. For users of the “Hour of Death” application, which requires an annual $ 40 subscription, the application for lifestyle changes to delay death, in addition to an accurate countdown showing the remaining time. “Maybe there is no more important history in your life than the day of your death,” says Franson.