1. Articles from Medium

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    1. How Language Translators (will) Work – Ai Society – Medium

      How Language Translators (will) Work – Ai Society – Medium

      FullStack Developer, AI enthusiast, Competitive Programmer Mar 13 How Language Translators (will) Work T ools that allow any person to communicate with any other person truly make the world a better place. The Rosetta Stone was the first of such tools, evolving to dictionaries and eventually to sophisticated systems such as a language translator that you’ve probably used before, Google Translate.

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    2. Envisioning the future of robotics – Humanizing Tech

      Envisioning the future of robotics – Humanizing Tech

      Founder of Erle Robotics, Roboticist, ROS evangelist Mar 9 Envisioning the future of robotics A peek into what happened and what’s next in robotics Peer written with Irati Zamalloa Ugarte . Copyright © Acutronic Robotics 2017. All Rights Reserved. A high resolution image is available at http://erlerobotics.com/envisioning-robotics/ . Robotics is called to be the next technological revolution.

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    3. Forget chatbots, use AI augmented humans to handle your customers

      Forget chatbots, use AI augmented humans to handle your customers

      Product Manager @ Bicycle AI | travel, weird food, coffee Mar 6 Forget chatbots, use AI augmented humans to handle your customers The chatbot hype is winding down The second half of 2016 was all about chatbots. Facebook Messenger led the charge, with plenty of other platforms to follow. Slack introduced the Enterprise Grid recently with bots and since November last year you can build chatbots for Twitter as well.

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    4. The Lisp approach to AI (Part 1) – Ai Society – Medium

      The Lisp approach to AI (Part 1) – Ai Society – Medium

      EE&CS student, and math learner. Feb 28 The Lisp approach to AI (Part 1) Common Lisp code to create an n-inputs m-units one layer perceptron. Taken from the code of AIMA , a classic textbook in Artificial Intelligence. The whole code here . If you are a programmer that reads about the history and random facts of this lovely craft, and practice it ad honorem —  just for fun — , you have found yourself reading about a programming language called Lisp.

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    5. From Ruby to Clojure: An Intercom integration story

      From Ruby to Clojure: An Intercom integration story

      CTO of http://nomnom.it Rap music, photography & programming Feb 28 From Ruby to Clojure: An Intercom integration story Re-building integrations with a new stack This is a guest post by Łukasz Korecki, CTO at NomNom , about building an integration with Intercom. NomNom are an Intercom Developer Program member. Coding without context As an engineer, I’ve always struggled with the same problem: lack of context.

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      Mentions: CTO API Postgres
    6. Navigating Mobile World Congress: Day 1 Highlights & Tips

      Navigating Mobile World Congress: Day 1 Highlights & Tips

      Blocked Unblock Follow Following CIM works with #companies and #governments to #understand the #impact of #technology and consumer #behavior on #business #innovation. Feb 20 Navigating Mobile World Congress: Day 1 Highlights & Tips MWC 2017 Custom Curated Experiences: Must See Content Sessions, Partner Programs & Seminars at MWC 2017 Custom Curated Experiences at Mobile World Congress 2017 ( http://consumersinmotion.com/#custom-curated-experiences ) the official corporate experience partner for Mobile World Congress 2017 compiled a daily summary of the key highlights at MWC 2017. Mobile World Congress offers a wide array of content sessions for attendees. Hall Four offers thought leaders on the key ...

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    7. How AI Will Change Mobile and Mobile Advertising in 2017

      How AI Will Change Mobile and Mobile Advertising in 2017

      Blocked Unblock Follow Following CEO & Co-Founder Niki.ai — An AI powered bot to shop on chat (bit.ly/2km0UKh)| I write about #ArtificalIntelligence #MachineLearning #Entrepreneurship #Startups 4 days ago How AI Will Change Mobile and Mobile Advertising in 2017 Artificial Intelligence, or AI, is everywhere these days. From once being a futuristic concept in Hollywood movies to now touching our lives every day, the advent has been really swift and revolutionary.

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      Mentions: India Amazon Google
    8. A Comprehensive Introduction to Word Vector Representations

      A Comprehensive Introduction to Word Vector Representations

      FullStack Developer, AI enthusiast — https://tebanvargas.wordpress.com/ 30 mins ago A Comprehensive Introduction to Word Vector Representations Making a computer mimic the human cognitive function of understanding text is a really hot topic nowadays. Applications range from sentiment analysis to text summary and language translation among others.

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    9. The Two Paths from Natural Language Processing to Artificial Intelligence

      The Two Paths from Natural Language Processing to Artificial Intelligence

      Blocked Unblock Follow Following Robot psychologist. Co-founder and CEO at DeepGrammar, a startup specializing in NLP and deep learning. Author of The Curiosity Cycle. 4 hrs ago The Two Paths from Natural Language Processing to Artificial Intelligence Why isn’t Siri smarter? AI has accelerated in recent years, especially with deep learning, but current chatbots are an embarrassment. Computers still can’t read or converse intelligently.

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      Mentions: Chicago Italy France
    10. Neural Networks and Deep Learning – I am bot – Medium

      just now Neural Networks and Deep Learning Neural Networks and Deep Learning is a free online book. The book will teach you about: Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data Deep learning, a powerful set of techniques for learning in neural networks Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.

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      Mentions: Neural Networks
    11. Implementing a Binary Classifier in Python – Mahesh Kumar

      Implementing a Binary Classifier in Python – Mahesh Kumar

      22 mins ago Implementing a Binary Classifier in Python Machine Learning (ML) is playing a key role in a wide range of critical applications, such as Computer Vision, Data Mining, Natural Language Processing, Speech Recognition and others. ML provides potential solutions in all of the above mentioned domains and more, it’s surely going to be the the driving force of our future digital civilization. ML can be a bit intimidating for a newcomer.

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      Mentions: Computer Vision
    12. Building A Deep Learning Neural Network Startup – Startup Grind – Medium

      Building A Deep Learning Neural Network Startup – Startup Grind – Medium

      Source: http://ncia.snu.ac.kr/xe/research_H Such a neural network can not only identify/classify objects, but also predict. For instance, looking at pictures partially, and filling in the rest — what could have been. A version of this is actually being tested extensively by Google in a project called RAZR — where a lower resolution image is downloaded to the user’s phone and machine learning is used to enhance it afterwards. This saves on bandwidth significantly.

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    13. Close Captioning Provided by Watson – CognitiveBusiness – Medium

      Close Captioning Provided by Watson – CognitiveBusiness – Medium

      Blocked Unblock Follow Following This is the age of breakthrough. An age in which digital business meets digital intelligence — human expertise enhanced, scaled and accelerated. Jan 16 Close Captioning Provided by Watson MediaWen adopts cognitive solution for video translation When it comes to providing close captioning, subtitling, and dubbing of media projects, most companies work with offsite people, usually networks of freelancers that are based worldwide.

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      Mentions: IBM
    14. The mind-blowing AI announcement from Google that you probably missed.

      The mind-blowing AI announcement from Google that you probably missed.

      The Tower of Babel (Marten van Valckenborch [Public domain], via Wikimedia Commons ) The mind-blowing AI announcement from Google that you probably missed. In the closing weeks of 2016, Google published an article which quietly sailed under most people’s radar. Which is a shame, because the article may just be the most astonishing thing about machine learning that I read last year. Don’t feel bad if you missed it.

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    15. Machine Learning is Fun Part 6: How to do Speech Recognition with Deep Learning

      Machine Learning is Fun Part 6: How to do Speech Recognition with Deep Learning

      Interested in computers and machine learning. Likes to write about it. 20 hrs ago Machine Learning is Fun Part 6: How to do Speech Recognition with Deep Learning Side Note: Check out Part 1 , Part 2 , Part 3 , Part 4 and Part 5 for more Machine Learning fun. Speech recognition is invading our lives. It’s built into our phones, our game consoles and our smart watches. It’s even automating our homes.

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      Mentions: Amazon Google Part
    16. How will Google’s AI Improvements Change SEO for Marketers?

      How will Google’s AI Improvements Change SEO for Marketers?

      Share 3 Never miss a story from Marketing and Entrepreneurship , when you sign up for Medium. Learn more Never miss a story from Marketing and Entrepreneurship Get updates Get updates Blocked Unblock Follow Following Content @Mention. When not writing, usually eating. Paris/Hong Kong. Connect with me on Twitter for all things marketing. or food. 2 hrs ago How will Google’s AI Improvements Change SEO for Marketers?

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      Mentions: Google SEO WSJ
    17. The Next Big Thing In Advertising

      2 days ago MACHINE LEARNING : the next big thing in advertising The data flow in 2016 is so fast that the total accumulation of the past two years (a zettabyte) dwarfs all prior record of the human civilization. There is a big data revolution underway. However, the quantity of data is not what is revolutionary, it is the fact that all this data is now usable. Statistical and computational methods of analysing big data are the real heroes in the story.

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      Mentions: Amazon Apple Google
    18. Up to Speed on Deep Learning: November Update – The Mission

      Up to Speed on Deep Learning: November Update – The Mission

      Entrepreneurial ideas & perspectives by investors, operators, and influencers. Subscribe: www.requestsforstartups.com. Run by Isaac Madan: isaac@venrock.com. 12 hrs ago Up to Speed on Deep Learning: November Update By Isaac Madan Continuing our series of deep learning updates, we pulled together some of the awesome resources that have emerged since our last post on October 17th.

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    19. The most powerful dictionary in the world: WordNet with Nltk – Medium

      The most powerful dictionary in the world: WordNet with Nltk – Medium

      Physicist, programmer, entrepreneur and musician 20 hrs ago The most powerful dictionary in the world: WordNet with NLTK Developers often need to access a dictionary in their scripts (dictionary as in English dictionary, not a Python dictionary ). WordNet is the most powerful tool that I know for this job. For instance, you can access the definition of the word dog in exactly three lines of code using WordNet and NLTK (a Python wrapper). Pretty sleek, isn’t it?

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    20. How to make conversation (with robots) – Organic Insights

      How to make conversation (with robots) – Organic Insights

      Never miss a story from Organic Insights , when you sign up for Medium. Learn more Never miss a story from Organic Insights Get updates Get updates Blocked Unblock Follow Following With a 20 year digital heritage, Organic matches customer insights with technology-enabled innovation to help brands create meaningful experiences. yesterday How to make conversation (with robots) The Road to the Conversational Interface The year is 2001 and Dr. David Bowman is running out of time.

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    21. Building a Deep Learning Powered GIF Search Engine

      Building a Deep Learning Powered GIF Search Engine

      teaching machines @openai previously: @claralabs @watchsend @mosaicio @ycombinator S13 http://tarzain.com/ yesterday Building a Deep Learning Powered GIF Search Engine How I built deepgif.tarzain.com They say a picture’s worth a thousand words, so GIFs are worth at least an order of magnitude more. But what are we to do when the experience of finding the right GIF is like searching for the right ten thousand words in a library full of books, and your only aid is the Dewey Decimal System ?

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    1-24 of 46 1 2 »
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