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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Baidu Open Sources Its Deep Learning Platform PaddlePaddle

John Ribeiro | PC World | September 1, 2016

Taking a cue from some of its U.S. peers like Google, Chinese Internet search giant Baidu has decided to open source its deep learning platform. The company claims that the platform, code-named PaddlePaddle after PArallel Distributed Deep LEarning, will let developers focus on the high-level structure of their models without having to worry about the low-level details. A machine translation program written with PaddlePaddle, for example, requires significantly less code than on other popular deep learning platforms, said Baidu spokeswoman Calisa Cole...

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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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Experts Say IBM Watson’s Flaws are Rooted in Data Collection and Interoperability

Evan Sweeney | Fierce Healthcare | September 6, 2017

Despite being backed by a significant budget and the marketing power of a major technology company, IBM Watson appears to be falling short of expectations when it comes to revolutionizing cancer care. The shortcomings of IBM’s premier artificial intelligence system—made famous by its appearance on Jeopardy in 2011 and later co-pted to provide support for oncologists—are linked to a number of factors, according to an in-depth investigation by Stat that included interviews with doctors and artificial intelligence experts from around the world...

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Facebook’s Artificial Intelligence Research Lab Releases Open Source FastText on GitHub

John Mannes | Tech Crunch | June 18, 2016

Every day, billions of pieces of content are shared on Facebook. To keep up with the data, Facebook has been using a variety of tools to classify text. Traditional methods of classification, like deep neural networks are accurate, but have serious training requirements. Read More »

Genomics and Precision Medicine Pioneer Jonathan Rothberg to Deliver Connected Health Conference Keynote on Transforming Healthcare with Semiconductors and Artificial Intelligence

Press Release | Personal Connected Health Alliance | October 26, 2016

The Personal Connected Health Alliance (PCHAlliance) today announced that genomics and precision medicine pioneer, Jonathan Rothberg, MS, MPhil, and PhD, will deliver a keynote presentation at the Connected Health Conference on Monday morning, December 12, 2016. Rothberg's keynote will focus on the integration of novel medical devices with deep learning and cloud computing to transform and democratize healthcare...

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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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Survey: Healthcare Execs See Poor ROI from EHRs but Optimistic about Analytics

Heather Landi | Healthcare Informatics | September 14, 2017

The billions in taxpayer dollars spent on electronic health records (EHRs) since 2009 have unfortunately generated a poor return for the nation’s healthcare system, according to a survey of more than 1,100 healthcare professionals conducted by Salt Lake City-based data analytics vendor Health Catalyst. Health Catalyst polled healthcare professionals attending the fourth annual Healthcare Analytics Summit September 12-14 in Salt Lake City...

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Survey: Healthcare Technology Pros See Poor Return On Investment from EHRs

Press Release | Health Catalyst | September 14, 2017

The billions in taxpayer dollars spent on electronic health records (EHRs) since 2009 have unfortunately generated a poor return for the nation’s healthcare system, according to a survey of more than 1,100 healthcare professionals attending the fourth annual Healthcare Analytics Summit™ (HAS 17), Sept. 12-14 in Salt Lake City. Fortunately, survey respondents also overwhelmingly signaled that analytics software—a technology designed to make the clinical data in EHRs more valuable—holds great promise for the future...

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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The Pistoia Alliance Calls on the Life Sciences to Support Greater Collaboration to Overcome Technology Challenges

Press Release | Pistoia Alliance | March 29, 2017

The Pistoia Alliance, a global, not for profit alliance that works to lower barriers to innovation in life sciences R&D, is calling upon the industry to improve collaborative efforts to use patient data to its full effect. In a series of keynote speeches delivered at The Pistoia Alliance’s annual member conference in London, speakers from Amgen, Accenture and AstraZeneca, discussed the need to more closely connect outcomes data with the R&D process – to help pharmaceutical companies focus their research efforts and deliver real benefits to patients. Building machine learning and deep learning systems, and incorporating data from therapeutic interventions or diagnostics into R&D is technologically challenging, and would benefit significantly from industry-wide pre-competitive collaboration...

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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