1. Articles from dzone.com

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    1. The Future of Chatbot Apps AI

      The Future of Chatbot Apps AI

      Artificial intelligence has always been something more of a sci-fi dream. Intelligent machines that you can communicate with, just like an ordinary person, always seemed unrealistic and even creepy to some (Skynet, anyone?). However, over the last couple of years, AI technologies have become so deeply integrated into our lives that talking to a machine is no longer science fiction but simply a convenient way to get things done.

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    2. Where Are the Biggest Opportunities for Ai? Ai

      To gather insights on the state of artificial intelligence (AI) and all its variants — machine learning (ML), deep learning (DL), natural language processing (NLP), predictive analytics, and multiple neural networks — we spoke with 22 executives who are familiar with AI. We asked them, "What are the most common issues you see preventing companies from realizing the benefits of AI?" Here's what they told us. Everywhere Part of everyone’s day and life .

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    3. What Prevents Companies From Realizing the Benefits of Ai? Ai

      What Prevents Companies From Realizing the Benefits of Ai? Ai

      To gather insights on the state of artificial intelligence (AI) and all its variants — machine learning (ML), deep learning (DL), natural language processing (NLP), predictive analytics, and multiple neural networks — we spoke with 22 executives who are familiar with AI. We asked them, "What are the most common issues you see preventing companies from realizing the benefits of AI?"

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    4. How Has AI Changed in the Past Year? AI

      How Has AI Changed in the Past Year? AI

      How Has AI Changed in the Past Year? DZone's Guide to How Has AI Changed in the Past Year? Here's what 22 executives who are familiar with AI and all its variants said when we asked them, "How has AI changed in the past year or so?" by Jul. 28, 17 · AI Zone Free Resource To gather insights on the state of artificial intelligence (AI), and all its variant — machine learning (ML), deep learning (DL), natural language processing (NLP), predictive analytics, and multiple neural networks — we spoke with 22 executives who are familiar with AI. We asked them ...

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    5. How I Used Deep Learning to Train a Chatbot to Talk Like Me (Sorta) AI

      How I Used Deep Learning to Train a Chatbot to Talk Like Me (Sorta) AI

      Join For Free Chatbots are “computer programs which conduct conversations through auditory or textual methods.” Apple’s Siri , Microsoft’s Cortana , Google Assistant , and Amazon’s Alexa are four of the most popular conversational agents today. They can help you get directions, check the scores of sports games, call people in your address book, and can accidentally make you order a $170 dollhouse .

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    6. How Can Companies Benefit From Ai? Ai

      How Can Companies Benefit From Ai? Ai

      To gather insights on the state of artificial intelligence (AI) and all its variants — machine learning (ML), deep learning (DL), natural language processing (NLP), predictive analytics, and multiple neural networks — we spoke with 22 executives who are familiar with AI. We asked them, "How can companies benefit from AI?" Here's what they told us: Fraud and Risk Mitigation Every piece of software can benefit — security , marketing, IT infrastructure, fintech.

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    7. How Do I Create a Successful Artificial Intelligence Strategy? AI

      To gather insights on the state of artificial intelligence (AI) and all its variants — machine learning (ML), deep learning (DL), natural language processing (NLP), predictive analytics, and multiple neural networks — we spoke with 22 executives who are familiar with AI. We asked them, "What are the keys to a successful AI strategy?" Here's what they told us: Identify the Business Problem Begin by picking a problem to solve with machine learning, deep learning, and AI.

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    8. Artificial Intelligence: The Cornerstone of Big Data AI

      Artificial Intelligence: The Cornerstone of Big Data AI

      Rumor has it that artificial intelligence is the next big industrial application coming out of big data, after Internet of Things. Do you agree? Let’s take a look at the market together and examine the evolution of data processing and business intelligence. The Last 10 Years The past decade has seen the rise of some great new IT technologies including cloud computing, blockchain , and big data. Among them, big data analytics has been viewed as just a "marketing thing" generating a lot of buzz.

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    9. How to Extract Phone Numbers Using Apache Tika Big Data

      How to Extract Phone Numbers Using Apache Tika Big Data

      Apache Tika is an open-source framework for extracting metadata from different file types. This framework has been widely used in many enterprise-grade applications. Since it supports wide varieties of documents for content handling, it is used in machine learning, artificial intelligence, natural language processing based applications, etc. In this article, I will show you one of the coolest features of Apache Tika.

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    10. Stanford NLP Named Entity Recognition AI

      Stanford NLP Named Entity Recognition AI

      Stanford NLP Named Entity Recognition DZone's Guide to Stanford NLP Named Entity Recognition Natural language processing is a core aspect of artificial intelligence. Learn about the Stanford NLP, a tool that can be used for entity recognition. by Jul. 18, 17 · AI Zone Free Resource Join For Free This article is about setting up a Stanford NLP in a Java project using different annotators provided by the Stanford NLP for named entity recognition.

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      Mentions: Stanford POS NER
    11. DZone’s Newest Zone: Introducing the AI Zone AI

      DZone’s Newest Zone: Introducing the AI Zone AI

      Data, Hal 9000, MUTHR. A new paradigm is emerging. It is one we have predicted for decades, theorized about endlessly, and anticipated anxiously. It has been slowly building to an inflection point, like a pot about to boil, and its surface tension is beginning to break. Yes, I’m talking about Artificial Intelligence. Developers have long envisioned a world where computers approach intelligence, where they are more than dumb terminals accepting input and running very specific commands.

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      Mentions: HAL
    12. Artificial Intelligence (AI) is Now on - DZone Developer Marketing

      Artificial Intelligence (AI) is Now on - DZone Developer Marketing

      Artificial Intelligence (AI) is all around us, whether you realize it or not. It’s no longer just a science fiction theme or a thing of the future. It’s already here, a part of devices we use every single day. Think about it... Ask Siri “What the weather is like in New York City” and she’ll look it up for you. Google uses their driver-less Street View cars to collect data and images about roads all over the world.

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    13. Standford Nlp Pos Tagger With Maven AI

      Standford Nlp Pos Tagger With Maven AI

      Standford NLP POS Tagger With Maven DZone's Guide to Standford NLP POS Tagger With Maven The Standford NLP POS Tagger is used to mark up text to be processed by natural language processing and NLP. Read on to learn how to use it! by Jul. 17, 17 · AI Zone Free Resource Join For Free Last time, we talked about the Apache Open NLP POS Tagger . This post is about using the Standford NLP to tag any part of speech.We will be setting up a Maven-based project to get started with Standford NLP.

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      Mentions: NLP POS
    14. Is the Cloud Ready for Speech APIs? Cloud

      Is the Cloud Ready for Speech APIs? Cloud

      Is the Cloud Ready for Speech APIs? DZone's Guide to Is the Cloud Ready for Speech APIs? The emergence of AI means changes for the cloud. We should soon see a blending of the two technologies, but what stands in the way? by Jul. 17, 17 · Cloud Zone Free Resource Join For Free Deploy and scale data-rich applications in minutes and with ease . Mesosphere DC/OS includes everything you need to elastically run containerized apps and data services in production.

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    15. How to Use the Apache Open Nlp Pos Tagger - DZone AI

      How to Use the Apache Open Nlp Pos Tagger - DZone AI

      How to Use the Apache Open NLP POS Tagger DZone's Guide to How to Use the Apache Open NLP POS Tagger The Apache Open NLP POS Tagger is used to mark up text to be processed by natural language processing and NLP. Read on to learn how to use it! by Jul. 15, 17 · AI Zone Free Resource Join For Free As per Wikipedia, POS tagging is "the process of marking up a word in a text (corpus) as corresponding to a particular part of speech, based on both its definition and its context — i.e.

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      Mentions: NLP POS
    16. Challenges of Building an Intelligent Chatbot AI

      Challenges of Building an Intelligent Chatbot AI

      Building an intelligent chatbot is not devoid of challenges. From making the chatbot context-aware to building the personality of a chatbot, there are challenges involved in making the chatbot intelligent. Chatbot Challenges Let's talk about context integration, coherent responses, model assessment, and reading intention. Context Integration Sensible responses are the holy grail of chatbots. Integrating context into the chatbot is the first challenge to conquer.

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      Mentions: Google NLP API
    17. How Artificial Intelligence Is Outpacing Humans AI

      How Artificial Intelligence Is Outpacing Humans AI

      “By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.” ― Eliezer Yudkowsky I'd second the statement above. Artificial intelligence has been pushing the boundaries of human imagination. Machines today are capable of doing a lot of things that we could not imagine them doing 20 years back. Artificial intelligence has changed the way we look at learning and inventing.

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    18. Six Technologies to Help You Succeed in Mobile Development Mobile

      When you begin to dive into the world of mobile development, you'll encounter a wide variety of technologies that are related to your platform of choice. For Android, you'll encounter Java and XML. For iOS, you'll find Objective C and Swift. Windows will introduce C# and XAML. Regardless of your platform of choice, here are six technologies to understand to further your development potential. 1.

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    19. How to Create a Smart Chatbot AI

      How to Create a Smart Chatbot AI

      How to Create a Smart Chatbot DZone's Guide to How to Create a Smart Chatbot What do you want your chatbot to do? What business goals do you want your chatbot to achieve? How satisfying does the chatbot perform in front of your customers? by Jul. 06, 17 · AI Zone Free Resource As the market for chatbots is getting huge, the ways to make chatbots are also increasing. There are several ways to build a chatbot, but the most important are: What do you want your chatbot to do?

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    20. How AI Differs From ML AI

      How AI Differs From ML AI

      How AI Differs From ML DZone's Guide to How AI Differs From ML Learn how machine learning both fits into and differs from the learning and mimicking mechanisms of artificial intelligence. by Jul. 05, 17 · AI Zone Free Resource Join For Free AI is not a new term. It is multiple decades old, starting around the early 80s when computer scientists designed algorithms that could learn and mimic human behavior.

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      Mentions: RGB DNN
    21. Exploring the Artificial Intelligence Ecosystem: AI, Machine Learning, and Deep Learning AI

      Join For Free Welcome to the artificial intelligence era. Unless you have been hiding under a rock for the last decade, you will have come across some form of artificial intelligence tools or solutions in your life. If you are anything like me, you have been excited to welcome the innovations brought on by artificial intelligence. But when it comes to understanding the landscape of the artificial intelligence ecosystem, it can truly be confusing.

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    25-48 of 115 « 1 2 3 4 5 »
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