We are now living longer, and the number of people worldwide aged 65 and over is expected to grow from 703 million in 2019 to 2.2 billion in 2080, according to the World Population Prospects Report published by the United Nations last year. The proportion of the global population that is elderly is also on the rise, almost doubling from 5.5% in 1974 to 10.3% last year, and it is projected to grow to 20.7% by 2074. A consequence of aging is that we are more likely to have medical problems. At the same time, the healthcare system in many countries is already stretched due to a lack of workers. "There are just not enough doctors and nurses to deal with a growing elderly population," said Massimiliano Zecca, a professor of healthcare technology at Loughborough University in the U.K. In the U.S, for example, a severe shortage of doctors is expected by 2034, with between 37,800 and 124,000 physicians lacking, partly fueled by the growing number of seniors, according to a recent report by the Association of American Medical Colleges (AAMC).

The application of routing algorithms to real-world situations is a widely studied research topic. Despite this, routing algorithms and applications are usually developed for a general purpose, meaning that certain groups, such as ageing people, are often marginalized due to the broad approach of the designed algorithms. This situation may pose a problem in cities which are suffering a slow but progressive ageing of their populations. With this motivation in mind, this paper focuses on describing our implemented Age-Friendly Route Planner, whose goal is to improve the experience in the city for senior citizens. In order to measure the age-friendliness of a route, several variables have been deemed, such as the number of amenities along the route, the amount of comfortable elements found, or the avoidance of sloppy sections. In this paper, we describe one of the main features of the Age-Friendly Route Planner: the preference-based routes, and we also demonstrate how it can contribute to the creation of adapted friendly routes.

Anecdotal accounts were already abound of people losing money to scammers cloning the voices of their relatives. Now, it's apparently become enough of a prevalent -- and serious -- issue that federal regulators feel the need to step in. On Monday, the US Federal Trade Commission (FTC) published a consumer alert on emerging voice cloning scams, warning people that their desperate friend or relative on the other end of the phone asking for money may actually be an AI simulacrum of their voice wielded by a scammer. "All [a scammer] needs is a short audio clip of your family member's voice -- which he could get from content posted online -- and a voice-cloning program," the FTC wrote. "When the scammer calls you, he'll sound just like your loved one."

New Delhi: The Madhya Pradesh government will start a course in Artificial Intelligence (AI) for students from class 8, which will be the first such initiative in the country, Chief Minister Shivraj Singh Chouhan said on Sunday. The government will also launch a veterinary telemedicine facility so that livestock keepers can get advice on the phone regarding diseases of cows and other animals. A similar facility will be launched for farmers so that they can consult experts over the phone regarding agriculture-related problems and diseases of crops, the chief minister told a press conference at Pachmarhi, the lone hill station in MP, located 210 km away from Bhopal. The two-day brainstorming session of the Madhya Pradesh cabinet held at Pachmarhi ended on Sunday. The state cabinet also took several other decisions including setting up Sanjivani clinics in urban areas and regarding transportation policy for rural areas.

The analysis of causation is a challenging task that can be approached in various ways. With the increasing use of machine learning based models in computational socioeconomics, explaining these models while taking causal connections into account is a necessity. In this work, we advocate the use of an explanatory framework from cooperative game theory augmented with $do$ calculus, namely causal Shapley values. Using causal Shapley values, we analyze socioeconomic disparities that have a causal link to the spread of COVID-19 in the USA. We study several phases of the disease spread to show how the causal connections change over time. We perform a causal analysis using random effects models and discuss the correspondence between the two methods to verify our results. We show the distinct advantages a non-linear machine learning models have over linear models when performing a multivariate analysis, especially since the machine learning models can map out non-linear correlations in the data. In addition, the causal Shapley values allow for including the causal structure in the variable importance computed for the machine learning model.

When we talk of Customer Experience, the first thought probably coming to mind is about businesses reaching out to Gen Y and Gen Z. Nothing wrong in that, except that there's an equally important customer cohort that offers a huge opportunity for enterprises to enhance CX or Net Promoter Scores (NPS) – senior citizens! This demographic profile, comprising people 60 years and older, is what we refer to as senior citizens. In India, the number of senior citizens stands at approximately 140 million, and is projected to rise significantly over the next decade. With their global population projected to hit one billion by 2030 and spending power close to $15 trillion, rest assured this group will have huge impact on business going ahead. New vistas expanding CX for seniors Of late, we have begun to see remarkable changes in senior citizens.

The University of the United Arab Emirates has completed projects of artificial intelligence laboratories that work to create a mental health monitoring system for senior citizens and to contribute to the early detection of incurable brain diseases such as dementia and Alzheimer's disease. The Artificial Intelligence and Robotics Laboratory operates at the University as part of the Fourth Industrial Revolutionary Organization, which follows the University of the United Arab Emirates, by establishing five major laboratories to support the march of the Fourth Industrial Revolution in the country. . Dr. Fadi Al-Najjar, Associate Professor in the Department of Computer Science and Software Engineering and Director of the Laboratory of Artificial Intelligence and Robotics, stressed that the UAE University is keen to accelerate and improve the development of educational technologies. The role of artificial intelligence in modern educational studies and programs seeks to improve project releases and curricula that meet the needs of the country's strategic plans and programs for the next fifty years. He said: The projects of the artificial intelligence laboratories at the university have been completed, creating a psychiatric monitoring system for senior citizens, predicting the future development of their cases, relying on the robot "Abu Chief", designed and developed in the laboratory, and with the technical support of Microsoft in the Middle East.

As the worldwide population gets increasingly aged, in-home tele-medicine and mobile-health solutions represent promising services to promote active and independent aging and to contribute to a paradigm shift towards a patient-centric healthcare. In this work, we present ACTA (Advanced Cognitive Training for Aging), a prototypal mobile-health solution to provide advanced cognitive training for senior citizens with mild cognitive impairments, We disclose here the conceptualization of ACTA as the integration of two promising rehabilitation strategies: the "Nudge theory", from the cognitive domain, and the neurofeedback, from the neuroscience domain. Moreover, in ACTA we exploit the most advanced machine learning techniques to deliver customized and fully adaptive support to the elderly, while training in an ecological environment. ACTA represents the next-step beyond SENIOR, an earlier mobile-health project for cognitive training based on Nudge theory, currently ongoing in Lombardy Region. Beyond SENIOR, ACTA represents a highly-usable, accessible, low-cost, new-generation mobile-health solution to promote independent aging and effective motor-cognitive training support, while empowering the elderly in their own aging. As the worldwide population gets increasingly aged, tele-medicine and mobile-health solutions are becoming key services to promote active and independent aging, and to contribute to a paradigm shift towards a patient-centric healthcare. In many countries, especially Italy, Portugal in Europe, and Japan in Asia, average population age is rapidly increasing and projections indicate 79% of it will be over 60 by 2050, according to the 2017 report of the United Nations [1]. Mild cognitive impairment (MCI) is rapidly becoming one of the most common clinical manifestations affecting the elderly. It is characterized by deterioration of memory, attention, and cognitive function that is beyond what is expected based on age and educational level. MCI does not interfere significantly with individuals' daily activities. It can act as a transitional level towards dementia with a range of conversion of 10%-15% per year.

Researchers at the University of California and IBM have used machine learning and natural language ... [ ] processing to predict loneliness in senior citizens in San Diego County, California. Researchers have used artificial intelligence to accurately predict loneliness in residents at a senior housing community in San Diego. Publishing in the American Journal of Psychiatry, the researchers were able to harness natural language processing (NLP) and machine learning to classify the sentiment and emotions of speech. At a time when the coronavirus pandemic is forcing people to remain in social isolation, the study by researchers from the University of California, IBM and elsewhere could prove vital in helping society assess and address widespread loneliness. However, while technology is providing ever-more powerful means of identifying societal problems such as loneliness, it remains questionable as to whether such problems can be solved by tech alone.

But only one booth had a line. Attendees stood patiently, every so often oohing and aahing over the featured device. Some turned to strangers, remarking, "Isn't this just the cutest?" or "That's just incredible." Others asked when they could purchase their own. Tombot is one of many startups selling robotic companions for senior citizens, offering emotional support, day-to-day assistance, or remote monitoring through artificial intelligence.