An amateur sex toy inventor has created a smart speaker that doubles up as a voice-controlled dominatrix. British engineer Gary, who keeps his surname anonymous, created his discipline device using parts of an electrified dog collar and an Amazon Echo Dot speaker. Known as mistress Alexa, the gadget administers shocks to its wearer's genitals following a short conversation that users initiate with the phrase'Alexa, punish'. Gary, who built the device for partner Kirsty, has posted a tutorial video to YouTube to help other sex toy enthusiasts build their own dominatrix technologies. An amateur sex toy inventor has created a smart speaker that doubles up as a voice-controlled dominatrix.
Google's Assistant, its answer to Amazon's Alexa and Apple's Siri, is getting smarter, more visual, and potentially, more helpful. At the I/O conference in Mountain View, Calif., Google put the spotlight on the assistant, bringing new voices, including one from singer John Legend, and more visuals. Additionally, Google has beefed up voice commands for its popular Maps app, bringing the Assistant to the feature in the summer. Google execs offered demos on new iPad-like Smart Displays coming from Lenovo and Google later in the year, which will allow voice navigation via the Google Assistant to say, watch Jimmy Kimmel Live via YouTube TV or order lattes from Starbucks. Google emphasized that visuals will be coming to the Google Assistant app, to marry voice navigation with tools like food recipes, where you'll get spoken step-by-step instructions, along with video.
There is a shift happening in the way we as a species communicate with machines. With the advent of Amazon Alexa, Google Assistant, Apple Siri, and Microsoft Cortana, the focus on Voice User Interfaces or Voice Activated Conversational Interfaces is rapidly increasing. This ever changing world presents a threat to the way we operate, especially when we do not understand it. A more AI aware world might be years away, but if we learn how to talk to and control the machines then we grow collectively. Yes, Amazon Alexa and similar voice activated interfaces look and sound pretty cool.
Although the term "Chatbot" is still a buzz word to many people, this revolutionary technology has already been considered "the next big thing" due to massive benefits it can bring to companies across various industries. In this article, we will discuss several chatbot use cases to solidify our claim that businesses should embrace chatbots. According to a research conducted by Chatbots Journal, a leading chatbot community, E-Commerce will benefit the most from chatbots compared to other industries. Successful commerce relies much on B2C (Business-to-Consumer) interaction. Chatbots enrich the relationship between online shops and customers with "conversational commerce", making B2C interaction quicker and friendlier than just a mere business transaction.
Today we're going to talk about how computers understand speech and speak themselves. As computers play an increasing role in our daily lives there has been an growing demand for voice user interfaces, but speech is also terribly complicated. Vocabularies are diverse, sentence structures can often dictate the meaning of certain words, and computers also have to deal with accents, mispronunciations, and many common linguistic faux pas. The field of Natural Language Processing, or NLP, attempts to solve these problems, with a number of techniques we'll discuss today. And even though our virtual assistants like Siri, Alexa, Google Home, Bixby, and Cortana have come a long way from the first speech processing and synthesis models, there is still much room for improvement.
Natural language processing technologies have become quite sophisticated over the past few years. From tech giants to hobbyists, many are rushing to build rich interfaces that can analyze, understand, and respond to natural language. Amazon's Alexa, Microsoft's Cortana, Google's Google Home, and Apple's Siri all aim to change the way we interact with computers. Sentiment analysis, a subfield of natural language processing, consists of techniques that determine the tone of a text or speech. Today, with machine learning and large amounts of data harvested from social media and review sites, we can train models to identify the sentiment of a natural language passage with fair accuracy.
That's because, to paraphrase Amazon's Jeff Bezos, artificial intelligence (AI) is "not just in the first inning of a long baseball game, but at the stage where the very first batter comes up." Look around, and you will find AI everywhere--in self driving cars, Siri on your phone, online customer support, movie recommendations on Netflix, fraud detection for your credit cards, etc. To be sure, there's more to come. Featuring 30 lectures, MIT's course "introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence." It includes interactive demonstrations designed to "help students gain intuition about how artificial intelligence methods work under a variety of circumstances."
Google Assistant is already a great help in the kitchen when we need to convert something from pints to cups or remember to buy eggs on our next shopping trip. In a feature rolling out to users just in time for Mother's Day, Google Home will now provide step-by-step instructions to more than 5 million recipes from Bon Appétit, the New York Times, Food Network, and more. And you can even listen to music while doing it. The new system isn't quite as simple as saying, "OK, Google, tell me how to cook coq au vin," but it's pretty close. To find a recipe, you'll need to use Google Assistant or Google search to find what you want to cook.