Television


Netflix open-sources Polynote to simplify data science and machine learning workflows

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Machine learning and data science development isn't exactly a walk in the park, but Netflix hopes to streamline the arduous bits with a new freely available platform. The tech giant today announced that it has open-sourced Polynote, a multi-language programming notebook environment that integrates with Apache Spark and offers robust support for Scala, Python, and SQL. In a blog post, Netflix said that Polynote -- which has seen "substantial" adoption among its personalization and recommendation teams -- was designed to enable data scientists and AI researchers to integrate Netflix's JVM-based machine learning framework with Python machine learning and visualization libraries. "On the Netflix personalization infrastructure team, our job is to accelerate machine learning innovation by building tools that can remove pain points and allow researchers to focus on research. Polynote originated from a frustration with the shortcomings of existing notebook tools, especially with respect to their support of Scala," said the company.


3 Ways AI Will Impact Our Home Lives in the Near Future MarkTechPost

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In 1962, The Jetsons premiered on ABC. The show combines a familiar mid-century style with imaginative notions of what the future might look like. Today, the series is still seen as a comparative reality to how rapidly technology is shaping our lives. On The Jetsons, technology promises a solution to everyday problems. When Mrs. Jetson is exhausted by housework, the family invests in a robotic maid named Rosey.


Open-sourcing Polynote: an IDE-inspired polyglot notebook

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We are pleased to announce the open-source launch of Polynote: a new, polyglot notebook with first-class Scala support, Apache Spark integration, multi-language interoperability including Scala, Python, and SQL, as-you-type autocomplete, and more. Polynote provides data scientists and machine learning researchers with a notebook environment that allows them the freedom to seamlessly integrate our JVM-based ML platform -- which makes heavy use of Scala -- with the Python ecosystem's popular machine learning and visualization libraries. It has seen substantial adoption among Netflix's personalization and recommendation teams, and it is now being integrated with the rest of our research platform. At Netflix, we have always felt strongly about sharing with the open source community, and believe that Polynote has a great potential to address similar needs outside of Netflix. Polynote promotes notebook reproducibility by design.


Netflix open-sources Polynote to simplify data science and machine learning workflows

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Machine learning and data science development isn't exactly a walk in the park, but Netflix hopes to streamline the most arduous bits with a new freely …


How "Cobots" Are Transforming Jobs in Every Industry, from Fast Food to Law

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A recent estimation put 40% of the world's jobs at risk of automation over the next 15 years. That's a major shift, but it's nothing new -- throughout history, advances in technology have replaced human jobs time and again. Between 1947 and 2014, for example, the number of U.S. workers employed by the railroad industry dropped by 86% as a result of new technology and automation. At the same time, this tech dramatically increased productivity, allowing the amount of freight being moved to increase by 182%. Today it's the field of robotics -- or rather, "cobotics" -- that's changing the way we work.


The Smart Car Failed In The US, Now It's Betting On China

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The tiny Smart car was meant to be a revolutionary new idea in urban mobility. But more than 20 years after its creation, the Smart car pulled out of the U.S. after years of increasingly dismal sales. Now, its parent company, Daimler, is looking in a new direction. About CNBC: From'Wall Street' to'Main Street' to award winning original documentaries and Reality TV series, CNBC has you covered. Experience special sneak peeks of your favorite shows, exclusive video and more.


Is Netflix about to crack down on users who share logins?

Daily Mail - Science & tech

Netflix said it is'monitoring' people who hand out their passwords to their family and friends. The company's chief product officer, Greg Peters, said it would be looking at'consumer-friendly' ways to stop large groups of people sharing a subscription. The video-streaming service currently costs between £5.99 and £11.99, with the option to watch up to four screens at a time. But as long as they're not all watching at the same time, more people can use the same login as long as they know the username and password. Netflix currently limits users to watching two screens at a time on a normal subscription but, as long as they don't watch at the same time, more people can share the same login details (stock image) Speaking in a video interview about Netflix's earnings in the third quarter of 2019, Mr Peters was asked what the company planned to do about password sharing.


ML Platform Meetup: Infra for Contextual Bandits and Reinforcement Learning

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Infrastructure for Contextual Bandits and Reinforcement Learning -- theme of the ML Platform meetup hosted at Netflix, Los Gatos on Sep 12, 2019. Contextual and Multi-armed Bandits enable faster and adaptive alternatives to traditional A/B Testing. They enable rapid learning and better decision-making for product rollouts. Broadly speaking, these approaches can be seen as a stepping stone to full-on Reinforcement Learning (RL) with closed-loop, on-policy evaluation and model objectives tied to reward functions. At Netflix, we are running several such experiments.


Intercon World Keynote Dr. Ganapathi Pulipaka Receives a Top 50 Technology Leader Award for His Contributions to AI, Machine Learning, Mathematics, and Data Science

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Dr. Ganapathi Pulipaka was a recipient of the Top 50 Technology Leader awards for recognition of his contribution to artificial intelligence, machine learning, and data science; for the past five years on Twitter as a machine learning and data science influencer; as a contributor to thought leadership and of project implementation articles on Medium, Data Driven Investor, LinkedIn, GitHub; as a best-selling author of two books on Amazon - "The Future of Data Science and Parallel Computing: A Road to Technological Singularity," published on June 29, 2018, and "Big Data Appliances for In-Memory Computing: A Real-World Research Guide for Corporations to Tame and Wrangle Their Data," published Dec. 8, 2015 - and other eBooks that have reached all-time high rankings from the world's largest book ratings authority (featured on Forbes), BookAuthority; and also for writing another 400 research papers as part of academic research programs for PostDoc and PhD. He is an American data scientist and AI luminary who has been featured in top-tier magazines and news and industry publications and was a speaker for multiple media distribution networks and some of the top media station affiliates, including ABC, FoxNews, NBC, Yahoo Finance, MarketWatch, The CW, VentureBeat, MirrorReview, CIOReview, SAP, Erie News Now, USA Today, Double T 97.3 Lubbock's Radio station, 100.7 KFM BFM San Diego, KITV, Telemundo Lubbock 46, AZCentral, Insights Success, NewsOk, Pittsburgh Post-Gazette, MarketWatch, and Ask.


5 ways AI for sales is revolutionizing customer experiences

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Artificial intelligence has already permeated our lives as consumers. The transformation was discreet, but it has made things better in every way. The last time you used Netflix, an AI helped you decide what to watch, when you shopped on Amazon, an artificial intelligence influenced what you purchased, and when you ordered that Uber, an AI helped find the best driver for you. In all of these instances, artificial intelligence improved the way in which you interacted with the product or service. Ultimately, the positive interaction that was generated when you found the perfect show to binge-watch, toaster to purchase, or got a ride, was due to an AI that optimized your experience.