deep learning

See the following -

The Renaissance Continues for Open Source Artificial Intelligence

Sam Dean | Ostatic | November 10, 2016

Recently, in an article for TechCrunch, Spark Capital's John Melas-Kyriazi weighed in on how startups can leverage artificial intelligence to advance their businesses or even give birth to brand new ones. As a corollary avenue on that topic, it's worth noting that some very powerful artificial intelligence engines have recently been open sourced. Quite a few of them have been tested and hardened at Google, Facebook, Microsoft and other companies, and some of them may represent business opportunities...

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This Actually Is a Test

When it comes to health care, testing is not what it used to be, or what it is going to be in the not-too-distant future. For example, confirmation of a cancer diagnosis is getting much easier.  The New York Times reported that blood tests -- known as "liquid biopsies" -- have now been shown to generally match the results of a tumor biopsy.  The blood tests look for DNA fragments from the tumor that signal its presence.  The liquid biopsies are useful for both detecting the presence of a tumor and its ongoing monitoring. The current generation of tests are not perfect, with as many as 15% of tumors not generating enough DNA to be detected, but they do offer the advantage of not requiring an invasive procedure...

To Err Is Human, To Diagnose Artificial Intelligence is...?

A new study found that physicians have a surprisingly poor knowledge of the benefits and harms of common medical treatments.  Almost 80% overestimated the benefits, and two-thirds overestimated the harms.  And, as Aaron Carroll pointed out, it's not just that they were off, but "it's how off they often were." Anyone out there who still doesn't think artificial intelligence (AI) is needed in health care? The authors noted that previous studies have found that patients often overestimate benefits as well, but tended to minimize potential harms.  Not only do physicians overestimate harm, they "underestimate how often most treatments have no effects on patients -- either harmful or beneficial"...

VA Collaborating With Flow Health to Bring Artificial Intelligence and Precision Medicine to Veterans

Press Release | Flow Health | November 29, 2016

Flow Health today announced that it has formed a five-year partnership with the U.S. Department of Veterans Affairs (VA) to build a medical knowledge graph with deep learning to inform medical decision-making and train artificial intelligence (AI) to personalize care plans. The partnership’s fundamental objective is to understand the common elements that make certain people susceptible to particular diseases, pinpointing effective treatments and identifying possible side effects in order to inform care decisions...

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What Is Deep Learning, and Why Should You Care About It?

Whether it's Google's headline-grabbing DeepMind AlphaGo victory, or Apple's weaving of "using deep neural network technology" into iOS 10, deep learning and artificial intelligence are all the rage these days, promising to take applications to new heights in how they interact with us mere mortals. To go deeper (yes, I went there) on the subject, I reached out to the team at the deep learning-focused company Skymind, creators of Deep Learning For Java (DL4J), and authors of the recently released O'Reilly book Deep Learning: A Practitioner's Approach, Josh Patterson and Adam Gibson...

Why the Healthcare Industry Is Hacking Graphics Technology to Power Machine Intelligence

Raja Koduri | Computer Business Review | May 5, 2017

Artificial intelligence has attracted significant attention recently, and yet many of the most popular examples we’ve seen demonstrating its potential benefits have been esoteric proof-of-concepts, such as mastering chess or finding cat videos on the internet. While these developments have helped pave the way for further breakthroughs, they’ve also left many people asking where the tangible benefits are and what the era of machine intelligence really means to the real world...

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Disaster Crowdsourcing Exchange - FEMA's Disaster Hackathon

Event Details
Type: 
Conference
Date: 
October 21, 2017 - 10:00am - 5:00pm
Location: 
Federal Emergency Management Agency
500 C Street Southwest Conference Center
Washington, DC 20024
United States

Disasters like Hurricanes Harvey, Irma, Maria and the California Wildfires have unprecedented impacts on our Nation, but digital volunteers can be a powerful force in helping with the disaster response and recovery efforts! Come participate in FEMA's Disaster Crowdsourcing Exchange on Saturday, October 21. Learn about FEMA's current crowdsourcing coordination efforts, participate in building new projects, experiment with new tools, and shape the future of crowdsourcing in emergency management.

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