philip lelyveld The world of entertainment technology

The artificial intelligence developed by Harvard University determines the shortest path to human happiness

... The first model is a set of deep neural networks which predict respondents’ chronological age and psychological well-being over 10 years using information from psychological surveys. This model depicts the trajectories of the human mind as it ages. It also shows that the ability to form meaningful connections, as well as mental autonomy and environmental mastery, develop with age. He also notes that the focus on personal progress is constantly decreasing, but the sense of having a purpose in life fades after only 40-50 years. These findings add to the growing body of knowledge about social and emotional selectivity and tasteful adaptation in the context of adult personality development. ...

The second model is a self-organizing map created to serve as the basis for a recommendation engine for mental health applications. This unsupervised learning algorithm divides all responders into groups depending on the likelihood of developing depression and identifies the shortest path toward a set of mental stability for any individual. Alex Zhavoronkov, Chief Sustainability Officer at Deep Longevity, explains, “Existing mental health apps offer general advice that applies to everyone yet doesn’t work for anyone. We’ve built a scientifically sound system that provides ultra-customization.” ...

“This study provides an intriguing perspective on psychological age, future well-being, and depression risk, and demonstrates new application of machine learning approaches to mental health issues. It also broadens our view of aging and shifts across life stages and emotional states.” ...

See the full story here: https://www.electriccitymagazine.ca/the-artificial-intelligence-developed-by-harvard-university-determines-the-shortest-path-to-human-happiness/