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) …
Making mental healthcare easily accessible to anyone is what led Rima Seiilova-Olson (MSTM '10) to become co-founder of Kintsugi Mindful Wellness, talk therapy software that combines machine learning and voice journaling to tackle stress, anxiety, depression and loss. "There's a big opportunity right now to use artificial intelligence for good. AI is not'summoning the demon' like Elon Musk says. When you're suffering, you need affordable access to help right away," said Seiilova-Olson, who met Kintsugi cofounder Grace Chang at an OpenAI hackathon in San Francisco. They quickly discovered they shared a passion for exploring how technology can help people address their mental health needs.
Thanks to advances in artificial intelligence, computers can now assist doctors in diagnosing disease and help monitor patient vital signs from hundreds of miles away. Now, CU Boulder researchers are working to apply machine learning to psychiatry, with a speech-based mobile app that can categorize a patient's mental health status as well as or better than a human can. "We are not in any way trying to replace clinicians," says Peter Foltz, a research professor at the Institute of Cognitive Science and co-author of a new paper in Schizophrenia Bulletin that lays out the promise and potential pitfalls of AI in psychiatry. "But we do believe we can create tools that will allow them to better monitor their patients." Nearly one in five U.S. adults lives with a mental illness, many in remote areas where access to psychiatrists or psychologists is scarce.
Using artificial intelligence, FITIV PULSE can intelligently predict a user's rate of weight loss and provide curated activity and nutrition advice to help them reach their goals. This new feature is called FITIV Insights - making it easier than ever to interpret health and fitness data by displaying data trends and providing expert advice to help users create actionable fitness goals and receive objective measures of their progress. Founder Sylvio LeBlanc's early life was fraught with years of gaining and losing the same 20 pounds, over and over, without consistent and sustainable progress. "I developed FITIV for myself, primarily. I'm the kind of person that needs to know that what I'm doing is working. Seeing those numbers really kept me motivated and tracking my calories was the key to my success."
BOSTON – A few years ago, toward the end of his life, my father battled severe depression. As a physician and professor, he did not lack access to mental-health care. But he had grown up in a society that stigmatized mental illness, and he was unwilling to seek professional help. As a son, it was devastating to watch my father suffer. As a public-health researcher, I gained a new awareness of the myriad systemic failures in the provision of care.
The age of artificial intelligence is allowing us to rethink the way that we treat diseases and disabilities. The combination of AI and Big Data, in addition to helping with medical diagnosis, coupled with biological delivery systems, such as gene therapy delivery system can significantly alter the way we treat a host of diseases that are, according to modern science, incurable: cancer, autism, some mental illnesses, and rare genetic illnesses. Specifically, combining AI, big data, robotics, gene therapy, and medical research has unleashed a host of possibilities to cure these types of diseases. At the same time, the combined innovation efforts are helping people with disabilities live their lives better. Here's an overview of some of these advances as we move into the new year.
A shorter version of this article was originally published by Scientific American. With articles like these, the press will have you believe that machine learning can reliably predict whether you're gay, whether you'll develop psychosis, whether you'll have a heart attack, and whether you're a criminal – as well as other ambitious predictions such as when you'll die and whether your unpublished book will be a bestseller. Machine learning can't confidently tell such things about each individual. In most cases, these things are simply too difficult to predict with certainty. Researchers report high "accuracy," but then later reveal – buried within the details of a technical paper – that they were actually misusing the word "accuracy" to mean another measure of performance related to accuracy but in actuality not nearly as impressive.
People who regularly play non-digital games such as Bingo, chess, cards or crosswords in their 70s could enjoy better cognitive ability later in life, finds study. Psychologists at the University of Edinburgh found that those who routinely played the games scored better on memory and thinking tests than non-players. The team tested 1000 people aged 70 for memory, problem solving, thinking speed and general thinking ability - the same people were tested every three years until they reached 79. People who increased game playing from ages 70 to 76 were more likely to maintain certain thinking skills as they grew older. The study also found that a behaviour change in later life could still make a difference.
Artificial intelligence (AI) has opened up a world of opportunities for business owners by collecting new types of data and deriving insights that can positively influence consumers on both an individual and group basis. Each of these new opportunities can either interact with consumers through front-end user interfaces or work to deliver information to consumers through back-end development. Examples include customer chat bots, product recommendations, content creation and curation, as well as predictive analysis in reporting. One of the most important ways AI can be used in digital marketing is to enhance the value of customer loyalty programs for both businesses and consumers. In order to gain retailer rewards such as discounts and coupons, customers are often willing to offer data – age and location demographics, buying habits and preferences – which AI technologies can use to predict how individual customers, as well as all consumers in a given geography, will respond to future marketing initiatives.