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IATSL - Intelligent Assistive Technology and Systems Lab

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Welcome to the Intelligent Assistive Technology and Systems Lab (IATSL), located in the Department of Occupational Science and Occupational Therapy at the University of Toronto. We are a multi-disciplinary group of researchers with backgrounds in engineering, computer science, occupational therapy, speech-language pathology, and gerontology. Our goal is to develop zero-effort technologies that are adaptive, flexible, and intelligent, to enable users to participate fully in their daily lives. We have an opening for an enthusiastic post-doctoral fellow to work on computer vision, signal processing, and video analysis algorithms for applications in sleep monitoring and medical diagnosis. Please read more about this position here at http://www.cs.toronto.edu/


What lies ahead? The future of agriculture, aging and artificial intelligence

#artificialintelligence

On Thursday, January 4 at 19:30 GMT: Lab-made meat, driverless cars, and robot caregivers were all once part of some futuristic fantasy, but they may be a part of reality sooner than we expected. In the first episode of 2018, The Stream looks at what lies ahead for agriculture, aging, and artificial intelligence? Many climatologists believe that our need for food is one of the biggest contributors to global warming. And as the population of the planet balloons, agriculture and farming poses an increasingly severe threat. Mark Post, Co-founder of Mosa Meat thinks he's come up with one solution to the environmental challenge: lab-made meat.


Intelligent Technology for an Aging Population: The Use of AI to Assist Elders with Cognitive Impairment

AI Magazine

Today, approximately 10 percent of the world's population is over the age of 60; by 2050 this proportion will have more than doubled. Moreover, the greatest rate of increase is amongst the "oldest old," people aged 85 and over. While many older adults remain healthy and productive, overall this segment of the population is subject to physical and cognitive impairment at higher rates than younger people. This article surveys new technologies that incorporate artificial intelligence techniques to support older adults and help them cope with the changes of aging, in particular with cognitive decline.


Intelligent Technology for an Aging Population

AI Magazine

Today, approximately 10 percent of the world's population is over the age of 60; by 2050 this proportion will have more than doubled. Moreover, the greatest rate of increase is amongst the "oldest old," people aged 85 and over. While many older adults remain healthy and productive, overall this segment of the population is subject to physical and cognitive impairment at higher rates than younger people. This article surveys new technologies that incorporate artificial intelligence techniques to support older adults and help them cope with the changes of aging, in particular with cognitive decline. This change poses both a challenge and an opportunity for the design of intelligent technology.


Artificial Intelligence For Early Alzheimer's Detection - Nanalyze

#artificialintelligence

A handful of startups are employing artificial intelligence technologies and big data in an attempt to diagnose dementia, particularly Alzheimer's disease. The effort could lead to better interventions and even therapeutic drugs if it becomes possible to detect cognitive decline before it really starts. The benefits to society – not to mention market potential – for the early detection of dementia and Alzheimer's disease are huge. According to the World Health Organization, there were 47.5 million people worldwide with dementia in 2015, with 7.7 million new cases each year. The total number of people with dementia is projected to reach 75.6 million in 2030 and almost triple by 2050 to 135.5 million.