deep learning

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Artificial Intelligence Achieves Near-Human Performance in Diagnosing Breast Cancer

Press Release | Beth Israel Deaconess Medical Center | June 19, 2016

Human and computer analyses together identify cancer with 99.5% accuracy. Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed. A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate...

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Black Duck Announces Open Source “Rookies of the Year”

Press Release | Black Duck | March 14, 2016

Black Duck...today announced the eighth annual Open Source Rookies of the Year, recognizing the top new open source projects initiated in 2015. The selected projects show how diverse and ambitious open source software development has become. From communications to healthcare and beyond, they offer innovative solutions to a range of consumer- and enterprise-grade problems. The 2015 Rookies class reflects three industry trends shaping the future of open source software...

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HealthTap Launches Dr. A.I.

Press Release | HealthTap | January 10, 2016

HealthTap, the world’s first Global Health Practice providing 24/7 immediate access to top doctors via video, text, and voice, today launched Doctor A.I., a personal Artificial Intelligence-powered “physician” that helps route users to doctor-recommended insights and care immediately. Each year, more than a billion people search the Web for health information, with approximately 10 billion symptom-related health searches per year on Google alone. Unlike a doctor, the Web only provides access to content semantically-related to these symptoms...

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Hot Programming Trends from 2016

Technology is constantly moving forward—well, maybe not always forward, but always moving. Even for someone who keeps an eye on the trends and their effect on programmers, discerning exactly where things are headed can be a challenge. My clearest glimpse into open source programming trends always comes in the fall when I work with my fellow chairs, Kelsey Hightower and Scott Hanselman, and our fantastic programming committee to sculpt the coming year's OSCON (O'Reilly Open Source Convention). The proposals that we get and the number focused on specific topics turn out to be good indicators of hot trends in the open source world. What follows is an overview of the top programming trends we saw in 2016...

Introducing OpenAI

Greg Brockman, Ilya Sutskever, and the OpenAI team | OpenAI blog | December 11, 2015

OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive human impact. We believe AI should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible.The outcome of this venture is uncertain and the work is difficult, but we believe the goal and the structure are right. We hope this is what matters most to the best in the field.

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Open Source Projects Are Transforming Machine Learning and AI

Machine learning and artificial intelligence have quickly gained traction with the public through applications such as Apple’s Siri and Microsoft’s Cortana. The true promise of these disciplines, though, extends far beyond simple speech recognition performed on our smartphones.  New, open source tools are arriving that can run on affordable hardware and allow individuals and small organizations to perform prodigious data crunching and predictive tasks.

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The Growing Rivalry Between Google and IBM

Greg Satell | Forbes | September 11, 2016

Still the growing rivalry is unmistakeable. Very few companies are capable of developing this type of deep learning technology and clearly, both IBM and Google are leading the pack. To be sure, other companies such as Facebook and Microsoft are also developing capabilities in this area, but up to this point at least, they don’t seem to have made quite as much progress.

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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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