Amazon Opens Up Its Internal Machine Learning Training To Everyone

Amazon announced Monday that it’s making the machine learning courses it uses to train its engineers available to everybody for free. The course is tailored to four major groups — developers, data scientists, data platform engineers and business professionals — and it offers both foundational level lessons as well as more advanced instruction.

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20 Top Lawyers Were Beaten By Legal AI

An anonymous reader shares a report:In a landmark study, 20 top US corporate lawyers with decades of experience in corporate law and contract review were pitted against an AI. Their task was to spot issues in five Non-Disclosure Agreements (NDAs), which are a contractual basis for most business deals. The study, carried out with leading legal academics and experts, saw the LawGeex AI achieve an average 94% accuracy rate, higher than the lawyers who achieved an average rate of 85%. It took the lawyers an average of 92 minutes to complete the NDA issue spotting, compared to 26 seconds for the LawGeex AI. The longest time taken by a lawyer to complete the test was 156 minutes, and the shortest time was 51 minutes.

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New App Lets You ‘Sue Anyone By Pressing a Button’

Jason Koebler writes: Do Not Pay, a free service that launched in the iOS App store today, uses artificial intelligence to help people win up to $25,000 in small claims court. It’s the latest project from 21-year-old Stanford senior Joshua Browder, whose service previously allowed people to fight parking tickets or sue Equifax; now, the app has streamlined the process. It’s the “first ever service to sue anyone (in all 3,000 counties in 50 states) by pressing a button.”

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Google DeepMind’s AI Beats Doctors at Spotting Eye Disease in Scan

DeepMind, Google’s artificial intelligence business, is planning clinical trials of technology that can help diagnose eye disease by analyzing medical images after early tests showed its results were more accurate than human doctors. From a report: Published in the scientific journal Nature, the study claims that DeepMind, in partnership with Moorfields Eye Hospital in London, has trained its algorithms to detect over 50 sight-threatening conditions to the same accuracy as expert clinicians. It is also capable of correctly recommending the most appropriate course of action for patients and prioritise those in most urgent need of care. In a project that began two years ago, DeepMind trained its machine learning algorithms using thousands of historic and fully anonymized eye scans to identify diseases that could lead to sight loss. According to the study, they can now do so with 94 percent accuracy, and the hope is that they could eventually be


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Amazon’s Alexa Is Coming To an Office Near You

Amazon announced today that it’s bringing its voice assistant into a range of business settings, big and small, like hotels and co-working spaces. From a report: While people always think of Amazon as a consumer company, it has shown itself time and again to have larger ambitions. This move could help it expand tis business services beyond its already popular Amazon Web services. In an interview, Amazon CTO Werner Vogels said that exposure to the workplace will improve Alexa by exposing it to new types of conversations. “The kind of language we use in our offices is sometimes radically different from the more conversational things we do in our(homes),” he told Axios. Alexa “will greatly improve by being exposed to different kinds of statements or conversations.”

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Google Releases TensorFlow 1.0 With New Machine Learning Tools

An anonymous reader shares a VentureBeat report: At Google’s inaugural TensorFlow Dev Summit in Mountain View, California, today, Google announced the release of version 1.0 of its TensorFlow open source framework for deep learning, a trendy type of artificial intelligence. Google says the release is now production-ready by way of its application programing interface (API). But there are also new tools that will be part of the framework, which includes artificial neural networks that can be trained on data and can then make inferences about new data. Now there are more traditional machine learning tools, including K-means and support vector machines (SVMs), TensorFlow’s engineering director, Rajat Monga, said at the conference. And there’s an integration with the Python-based Keras library, which was originally meant to ease the use of the Theano deep learning framework. And there are now “canned estimators,” or models, Monga said, including simple neural networks to start


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YouTube says it now has automatically captioned 1 billion videos

 When Google rolled out its automatic captioning service for YouTube back in 2009, the results were far from great. Since then, Google’s speech recognition technology has made massive strides, though, and while the service still makes its fair share of mistakes, it’s now quite good at making videos accessible to the deaf and hearing impaired. As the YouTube team announced… Read More


Original URL: http://feedproxy.google.com/~r/Techcrunch/~3/jWgOEVpQXpY/

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IBM Watson and Udacity want developers to learn AI online

 Udacity, the education platform focused on helping workers gain skills they need for great careers in tech, has partnered with IBM Watson, Didi Chuxing and Amazon Alexa to offer a new nanodegree in artificial intelligence, the companies announced today at the IBM World of Watson conference. IBM Watson is co-developing the curriculum of the course with Udacity. Chinese ride-hailing company… Read More


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Facebook, Amazon, Google, IBM, and Microsoft Come Together To Create Historic Partnership On AI

An anonymous reader quotes a report from TechCrunch: In an act of self-governance, Facebook, Amazon, Alphabet, IBM, and Microsoft came together today to announce the launch the new Partnership on AI. The group is tasked with conducting research and promoting best practices. Practically, this means that the group of tech companies will come together frequently to discuss advancements in artificial intelligence. The group also opens up a formal structure for communication across company lines. It’s important to remember that on a day to day basis, these teams are in constant competition with each other to develop the best products and services powered by machine intelligence. Financial support will be coming from the initial tech companies who are members of the group, but in the future membership and involvement is expected to increase. User activists, non-profits, ethicists, and other stakeholders will be joining the discussion in the coming weeks. The organizational


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