Welcome to the Momenta Learning News on Machine Learning. This is issue 31, please feel free to share this post.
Artificial intelligence is currently making a resurgence since the 1990s. Today, the focus is on machine learning and statistical algorithms. This shift has served AI well. Since machine learning and statistics provide effective algorithm solutions to certain kinds of problems, such as board games, spam detection, voice and image recognition, etc.
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Nages Sieslack "AI is transforming the entire world of technology. Much of this progress is due to the ability of learning algorithms to spot patterns in larger and larger amounts of data. Today this is powering everything from web search to self-driving cars.
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Deep learning has advanced to the point where it is finding widespread commercial applications. Find out what deep learning is, why it is useful, and how it can be used in a variety of enterprise settings.
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Compliance technology and artificial intelligence make more inroads among financial data management operations, with opposite levels of disruption to the industry, Michael writes. Two trends that Inside Reference Data covered recently-the rise of "regtech" (regulatory technology) as a spin-off of the development of fintech start-ups, and the increasing application of artificial intelligence and machine learning to data management-are both about how smarter application of technological capabilities can improve the industry's grasp on data.
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Nvidia's CEO says his hardware will revolutionize robotics and that his chips can learn from Google's AlphaGo. Jen-Hsun Huang, CEO of the chipmaker Nvidia, is either very prescient or very lucky. His company was built around graphics processing units (GPUs) for video games.
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Machine learning is the new battle cry for the cloud world. Until cloud computing came along, machine learning was out of reach for most enterprise IT shops. But now that it's in the cloud as a service, it's affordable. It should be no surprise that Amazon Web Services, Google, IBM, and Microsoft offer machine learning services in their clouds.
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It's tempting to think of artificial intelligence (AI), cognitive computing and deep learning capabilities as somewhat futuristic-even with companies such as IBM, Microsoft and Google introducing increasingly sophisticated features. Yet machine learning-which constantly sorts through incoming data and improves on its own over time-is already making waves across a wide swath of industries, including travel, pharmaceutical research and financial services.
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We live in a world besotted with images: selfies, Instagram photos, video clips running on social media platforms that make it easy to instantly post images captured by smartphones and other devices. The explosion of images is making keyword searches less effective, prompting companies that sell photos and music to come up with new approaches to sorting through the haystack for the relevant image.
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11:38 a.m., April 8, 2016--On April 3, 2016, news media outlets across the globe published articles about 11.5 million leaked documents from a Panama law firm involved in money laundering. Although 11.5 million is a large number, most readers probably had no idea what went into drawing meaningful conclusions from that huge cache of documents.
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One of the most important features of mobile platforms is notifications. Our phones, and sometimes even our watches, are forever buzzing and bleeping to tell us that someone, somewhere, has done something that we should know about, right now. Whether you use iOS, Android, or even Windows Mobile, there's a common theme to these notifications: they're deeply annoying.
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