Articles

The Problem With Conversational Interfaces: The Conversation

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This title probably looks contrarian at a glance (so is my last post), but I truly believe we are largely misunderstanding what a natural language interface to our applications should look like. Here are my thoughts on the role of conversation in NLU/P systems.

What Is the Conversation?

Let’s define what we mean by conversation in the context of NLU/P systems. First off, conversation happens between two or more participants (computers talking to themselves at night is outside of the scope of this blog). Second, the conversation is a sequence of two or more sentences that are tightly coupled to each other by their context and time.


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Machine Learning: Benefits to Business

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Have you ever thought about how your mail inbox is so smart that it can filter Spams, label important emails or conversations, and segregate promotional, social, and primary messages? There is a complex algorithm in place for this kind of prediction and this algorithm comes under the wide umbrella of Machine Learning. The formula looks at the words in the subject line, the links included in the mail, and/or patterns in the recipient’s list. Now, this method is definitely helping the business of email providers and such predictive (as well as prescriptive) algorithms can help all kinds of businesses. But first, let’s define exactly what Machine Learning (ML) is.

What Is Machine Learning?

Simply put, ML is all about understanding, mostly hidden, data and statistics and then mining meaningful insights from this raw dataset. The analytical method that uses algorithms can help solve intricate data-rich business problems.


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Vital For Online Success: Chatbots

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Chatbots are obtaining appeal in all the industries of Service Industry. A chatbot is a computer system program that mimics human discussions and is powered by Artificial Intelligence. Organizations are adopting chatbots to provide customer support and jobs as understanding assistants as well as organization experts. The insurance policy sector and chatbots work together. Chatbots are aiding companies to streamline communication processes and also market products and services.

Chatbots supply a basic platform to access information related to an insurance policy and also get to millennials with the medium they are most accustomed to. Nowadays, products are complex and have numerous variations. Solutions are frequently customized in accordance with an individual’s demands, and chatbots get rid of human participation as well as secure the procedure. Chatbots lower the workforce in phone call centers, which assists the company to reduce overhead costs.


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Artificial Reasoning: Inside Machine Learning

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You are sitting in an exit row. You casually look at the emergency guide, and it is a combination of images and text. Your brain naturally combines them and presents you with a complete picture of the intended message — open the door in the unlikely event of an emergency.


As humans, this ability to correlate comes instinctively to us, but for a minute, think about how a computer sees the same document. An OCR (optical character recognition) system reads the text. An image recognition model scans the image. Then, there is a third system that correlates the image and text to understand the complete picture.


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Using AWS SageMaker to Train a Model to Generate Text (Part 1)

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If you’ve followed any of my recent posts, you’ll know I have been using RNN models to generate text from a model trained with my previous tweets, and the text from all of my previous posts, and feeding this into a Twitter bot: @kevinhookebot.

The trouble I have right now is the scripts and generate models are running using Lua, and although I could install this to an EC2 instance, I don’t want to pay for an EC2 instance being up 100% of the time. Currently, when I generate a new batch of text for my Twitter bot, I start up a local server running the scripts and the model, generate new text, and then stage it to DynamoDB to get picked up by the bot when it’s scheduled to next run. With the AWS provided Machine Learning services, there has to be something out of the box I can use on AWS that would automate these steps.


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What Is the Use of AI in Healthcare?

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Artificial intelligence has expanded its footprints into many significant fields giving new opportunities for AI developers to improve the productivity with better efficiency. The healthcare sector is one of them that AI is going to play a vital role to improve the treatment process more autonomously and with better results in terms of disease diagnosis and medical care assistance.

Further, with more improvement in AI applications, the healthcare sector will be getting more equipped facilities to provide better medical treatments at a faster pace. Actually, there are many subfields where AI is used, and if you don’t know what the use of Artificial Intelligence is in healthcare, then below are a few examples where AI is extensively used at ground levels.


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Can Deep Networks Learn Invariants?

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Artificial General Intelligence (AGI) should be able to see. In particular, it should be able to recognize objects and to learn to recognize new classes of objects from as few examples as possible.

This means that it should generalize. How would that work?


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The Role of Machine Learning and Predictive Analytics in Ensuring Privacy and Security

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There is no denying the fact that we are more connected than ever today and this connectivity only seems to increase by the day. The world today has shrunk within a small handheld mobile device, hasn’t it? Smarter technology is bringing not only the world but the future closer.

Alongside, this trend has exponentially increased the rate of data generation. Servers are not the only high-volume data-sources anymore. Mobile devices and internet of things (IoT) are churning out a copious amount of information each second. As the number of smartphones and connected devices grows, this inflow of data multiplies too. It should be noted that this data is multiplying with each second and getting more and more massive in size.


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