Using AI to help aging populations live better — microbiome may be the key

Using #AI to help Aging Populations Live Better  @UCSDnews  #IBMResearch

  • To help us do so, UC San Diego is launching a collaboration with IBM Research to enhance quality of life and independence for aging populations.
  • The new Artificial Intelligence for Healthy Living Center (AIHL), located on our La Jolla campus, will combine the technology, cognitive and life sciences strengths of IBM and UC San Diego.
  • At UC San Diego, we’re bringing together top researchers from across our campus including computer science and engineering, the San Diego Super Computer Center, cognitive science, the Center for Microbiome Innovation, medicine including psychiatry, and the Qualcomm Institute for Telecommunications and Information Technology.
  • Hands-on research experience with UC San Diego and IBM scientists will be complemented by jointly taught classes and seminars, and will showcase opportunities for trainee and faculty projects.
  • This project is supporting 15 UC San Diego faculty members, along with 46 students, postdocs and research staff.

UC San Diego and IBM Research will use AI to study the impact of genetics and the human microbiome on the cognition of older adults.
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Hashtag Artificial Intelligence – Katherine Bailey – Medium

Good read

Hashtag #ArtificialIntelligence 

 #fintech @katherinebailey @Acquia #AI

  • Here’s one that was presented recently at a talk by one of Amazon’s top Machine Learning people:Artificial Intelligence: A system or service which can perform tasks that usually require human intelligenceThis is a fairly common way to define it.
  • Here’s a similar formulation from Nathan Benaich in his post 6 areas of AI and machine learning to watch closely:The ultimate goal of AI […] is to build machines capable of performing tasks and cognitive functions that are otherwise only within the scope of human intelligence.One problem with this definition is that it means the state of being an instance of Artificial Intelligence is temporary.
  • Just look at all the “What is the difference between Artificial Intelligence and Machine Learning?”
  • Really, why should Machine Learning be defined in relation to AI?The slippery definition issue above can be looked at as follows: it is the term “Artificial Intelligence” looking for things to refer to.
  • This is no more true now than it was 50 years ago but many smart people are utterly convinced of it.The term “Artificial Intelligence” has been around since the early days of computer science, when “thinking machines” were seen as the natural next step after programming basic logic.

The internet is awash with stories about something called Artificial Intelligence. Confusion around what it is is prompting many to proffer definitions of it, or corrections of wrong definitions…
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From big data to human-level artificial intelligence

From #BigData to human-level artificial intelligence #AI |

  • Doug Cutting, Tom White, and Ben Lorica explore Hadoop’s role over the coming decade.
  • Watch the full version of this keynote on Safari .
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  • How sensors, fast networks, AI, and distributed computing are affecting the data landscape
  • This is a keynote highlight from Strata + Hadoop World in New York 2016.

What explains the gap between what machines do well and what people do well? And what needs to happen before machines can match the flexibility and power of human cognition?
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