{"id":443,"date":"2019-07-21T12:24:39","date_gmt":"2019-07-21T12:24:39","guid":{"rendered":"http:\/\/host.tucknologies.com\/~sandb0xverna1\/?page_id=443"},"modified":"2022-12-29T18:06:18","modified_gmt":"2022-12-29T18:06:18","slug":"frequently-aked-questions","status":"publish","type":"page","link":"https:\/\/host.tucknologies.com\/~v3rn4dm1n\/frequently-aked-questions\/","title":{"rendered":"Frequently asked questions"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"443\" class=\"elementor elementor-443\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1dcfe71 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1dcfe71\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2d45c7b\" data-id=\"2d45c7b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0885609 elementor-widget elementor-widget-text-editor\" data-id=\"0885609\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.9.2 - 21-12-2022 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#818a91;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#818a91;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2>General questions<\/h2><div>\u00a0<\/div><div role=\"tablist\"><div><div role=\"tab\"><h5><br \/>What does your company do?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-4bf971fb87c04576f59f34ff939ce74f\" aria-labelledby=\"collapse_header_0-4bf971fb87c04576f59f34ff939ce74f\"><div>VERN<span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><span style=\"letter-spacing: 0px;\">&#8216;s artificial intelligence software detects human emotion in communication. This patented system includes a new model of communication, has incongruity detection, and a process for machine learning refinements from the preliminary to final emotion score. VERN<\/span><span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><span style=\"letter-spacing: 0px;\">\u00a0allows AI systems the ability to analyze challenging emotions and difficult expressions of speech such as humor and sarcasm.<\/span><\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>How does VERN\u2122\u00a0work?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-4bf971fb87c04576f59f34ff939ce74f\" aria-labelledby=\"collapse_header_1-4bf971fb87c04576f59f34ff939ce74f\"><div><p>VERN<span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><span style=\"letter-spacing: 0px;\">\u00a0works by analyzing latent emotional clues in text, that we can ingest via voice to text or directly via text input through the software. People leave intentional clues for others to pick up on in order to understand each other&#8217;s &#8220;personal frame of reference.&#8221;<\/span><\/p><p>You pass a sentence through the software, and VERN<span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><span style=\"letter-spacing: 0px;\">\u00a0will return that sentence back to you with an emotional recognition analysis on a 1-100 scale of confidence. From there, you can use these insights to create new technologies.<\/span><\/p><\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>What is it used for?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-4bf971fb87c04576f59f34ff939ce74f\" aria-labelledby=\"collapse_header_2-4bf971fb87c04576f59f34ff939ce74f\"><div>Wherever a human and a computer meet, there&#8217;s a use case for VERN<span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><span style=\"letter-spacing: 0px;\">\u00a0From video games to chatbots; from telehealth technologies to signals intelligence&#8230;VERN<\/span><span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><span style=\"letter-spacing: 0px;\">\u00a0can help a computer understand how people feel.<\/span><\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>What kind of emotions can you detect?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-4bf971fb87c04576f59f34ff939ce74f\" aria-labelledby=\"collapse_header_3-4bf971fb87c04576f59f34ff939ce74f\"><div><p>Right now, VERN<span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><span style=\"letter-spacing: 0px;\">\u00a0can detect sadness (96.7% accuracy on internal testing; 80%+ in the field); anger (91% accuracy on internal testing; 80%+ in the field) and of course, humor (79.8%+ accuracy across the board).<\/span><\/p><p>We added emotion detectors: Love &amp; Affection and Fear in 2022 with similar accuracy.<\/p><\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>Can you really detect emotions without facial recognition, or voice?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-4bf971fb87c04576f59f34ff939ce74f\" aria-labelledby=\"collapse_header_4-4bf971fb87c04576f59f34ff939ce74f\"><div><p>Absolutely. In fact, facial recognition is fraught with bias and error, and people can easily cover their emotions. Ever hear of a poker face?<\/p><p>Here&#8217;s a thought exercise: Try to communicate to your spouse where their keys are inside your house using only facial expressions&#8230;<\/p><p>Or try to order a pizza&#8230;not using words&#8230;but by using inflections and noise alone.<\/p><p>You can&#8217;t.<\/p><p>The fact is, words are what we use to label and categorize our world. It&#8217;s the vehicle in which we codify our thoughts. Voice inflections and quirks, and the physiological expressions only add additional information on the words that are used.<\/p><p>VERN<span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><span style=\"letter-spacing: 0px;\">&#8216;s accuracy of 80%+ in internal and real-world applications is on words ALONE. Just imagine how powerful your emotional recognition would be with VERN<\/span><span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><\/p><p>&#8230;because it&#8217;s not as accurate without it.<\/p><\/div><\/div><\/div><\/div><div>\u00a0<\/div><h2>Financial topics<\/h2><div>\u00a0<\/div><div role=\"tablist\"><div><div role=\"tab\"><h5><br \/>How much does VERN\u2122<a style=\"letter-spacing: 0px; text-align: inherit; background-color: white;\" href=\"https:\/\/host.tucknologies.com\/~v3rn4dm1n\/frequently-aked-questions\/?elementor-preview=443&amp;ver=1672336694#collapse-1987b49671b7d773b0126b2cb1054ec7-0\" data-toggle=\"collapse\">\u00a0cost?<\/a><\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-1987b49671b7d773b0126b2cb1054ec7\" aria-labelledby=\"collapse_header_0-1987b49671b7d773b0126b2cb1054ec7\"><div>Accessing VERN<span style=\"font-family: Calibri, sans-serif; font-size: 12pt; letter-spacing: 0px;\">\u2122<\/span><span style=\"letter-spacing: 0px;\">\u00a0can be accomplished in several ways, and as such there are different costs depending on the model you want to use.\u00a0<\/span>We&#8217;ve made low-cost options available for hobbyists, researchers and mobile app developers.\u00a0<span style=\"letter-spacing: 0px;\">We have enterprise solutions with custom domain framing, and advanced analytics.<\/span><\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>Which option is best for me?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-1987b49671b7d773b0126b2cb1054ec7\" aria-labelledby=\"collapse_header_1-1987b49671b7d773b0126b2cb1054ec7\"><div><p>Need a secure, offline solution? We have models ready in the\u00a0<a href=\"https:\/\/host.tucknologies.com\/~v3rn4dm1n\/vern-for-on-premises\/\">AI marketplaces\u00a0<\/a>ready to be deployed in your on-premise solution.<\/p><p>Need a\u00a0<a href=\"https:\/\/vernai.com\/product\/custom-framing\/\">custom frame?<\/a>\u00a0We can work with your organization to create frames of reference for more accurate analysis.<\/p><p>Want to try it out?\u00a0We have an API only solution for you, that you can<a href=\"https:\/\/host.tucknologies.com\/~v3rn4dm1n\/my-account\/\"> register for right here on this site.<\/a><\/p><\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>How do you bill?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-1987b49671b7d773b0126b2cb1054ec7\" aria-labelledby=\"collapse_header_2-1987b49671b7d773b0126b2cb1054ec7\"><div><p>To use our API, simply register an account and put a card on file. We will charge you after each month for what you&#8217;ve used to date.<\/p><p>Marketplaces bill based on a pre-purchased credit basis, and as we&#8217;re a product in their ecosystem they take care of the billing.<\/p><p>For enterprise solutions, we charge the package cost at the end of the month. Custom framing development and implementation is extra.<\/p><\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>Do you offer refunds?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-1987b49671b7d773b0126b2cb1054ec7\" aria-labelledby=\"collapse_header_3-1987b49671b7d773b0126b2cb1054ec7\"><div>Unfortunately, we do not offer refunds. Our process offers opportunities to try out the software risk-free. Once we provide the service, it can&#8217;t be returned.<\/div><\/div><\/div><\/div><div>\u00a0<\/div><h2>Other questions<\/h2><div>\u00a0<\/div><div role=\"tablist\"><div><div role=\"tab\"><h5><br \/>How is VERN\u2122 better than sentiment analysis tools?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-dc5d0b6d6cf3b75ac8889e6545747732\" aria-labelledby=\"collapse_header_0-dc5d0b6d6cf3b75ac8889e6545747732\"><div>Sentiment analysis has its place. Unfortunately, to get any truly actionable information you need to dig deeper. Simply knowing an entire block of text is &#8220;positive,&#8221; &#8220;negative,&#8221; or &#8220;neutral&#8221; does nothing to help identify the root of the problem. A sentence by sentence analysis of the emotions present in each one&#8211;can help identify where the problem lies. And, what the hell does &#8220;mixed&#8221; even tell you? Nothing!<\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>Is VERN\u2122 biased?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-dc5d0b6d6cf3b75ac8889e6545747732\" aria-labelledby=\"collapse_header_1-dc5d0b6d6cf3b75ac8889e6545747732\"><div>With inherent biases affecting the analysis of facial and voice tools, it&#8217;s a legitimate question to ask. The answer is simply: No. VERN\u2122 provides a generalized interpretation of the emotions present, for all people. With the addition of personal and domain frames, they can influence the interpretation and make it more personal by group (and therefore biased for that frame). The general algorithm is agnostic.<\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>Should I be afraid of the &#8216;terminator&#8217;?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-dc5d0b6d6cf3b75ac8889e6545747732\" aria-labelledby=\"collapse_header_2-dc5d0b6d6cf3b75ac8889e6545747732\"><div>No. Don&#8217;t be silly. AI is still far away from that&#8230;VERN\u2122 was engineered to act like a human &#8220;receiver,&#8221; or recipient of communication. It is a big ear and processor, that will help all sorts of people and computers understand our world. VERN\u2122 only reacts to what users provide it. It can&#8217;t read minds.<\/div><\/div><\/div><div><div role=\"tab\"><h5><br \/>What do you see in the future?<\/h5><\/div><div role=\"tabpanel\" data-parent=\"#accordion-dc5d0b6d6cf3b75ac8889e6545747732\" aria-labelledby=\"collapse_header_3-dc5d0b6d6cf3b75ac8889e6545747732\"><div>We see a time in which autonomous and semi-sentient machines interacting with humans on a daily basis. Soon, technologies enabled with VERN\u2122 will enable chatbots to stop being so&#8211;robotic. It&#8217;ll enable customer service representatives to understand the difference between a sarcastic joke and a real expression of anger. VERN\u2122 will enable product marketers to test the effectiveness of their campaigns. Wherever a human and a computer meet, there&#8217;s a need for VERN\u2122.<\/div><\/div><\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>General questions \u00a0 What does your company do? VERN\u2122&#8217;s artificial intelligence software detects human emotion in communication. This patented system includes a new model of communication, has incongruity detection, and a process for machine learning refinements from the preliminary to final emotion score. VERN\u2122\u00a0allows AI systems the ability to analyze challenging emotions and difficult expressions [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-443","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.13 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Frequently asked questions - VERN AI<\/title>\n<meta name=\"description\" content=\"This page includes some of the most frequently asked questions of V.E.R.N. 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