{"id":3781,"date":"2020-03-13T07:00:19","date_gmt":"2020-03-13T11:00:19","guid":{"rendered":"http:\/\/icaninfotech.com\/?p=3781"},"modified":"2024-12-02T12:45:29","modified_gmt":"2024-12-02T12:45:29","slug":"3-important-ai-ml-trends","status":"publish","type":"post","link":"https:\/\/icaninfotech.com\/3-important-ai-ml-trends\/","title":{"rendered":"3 important trends in AI\/ML you might be missing"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3781\" class=\"elementor elementor-3781\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-5245dfef elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5245dfef\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9375bed\" data-id=\"9375bed\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\n\t\t<div class=\"elementor-element elementor-element-70d4f65 elementor-widget elementor-widget-text-editor\" data-id=\"70d4f65\" 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 - v3.23.0 - 25-07-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;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<p>Source: venturebeat<br \/><br \/>According to a <a href=\"https:\/\/www.gartner.com\/smarterwithgartner\/3-barriers-to-ai-adoption\">Gartner survey<\/a>, 48% of global CIOs will deploy AI by the end of 2020. However, despite all the optimism around AI and ML, I continue to be a little sceptical. In the near future, I don\u2019t foresee any real inventions that will lead to seismic shifts in productivity and the standard of living. Businesses waiting for a major disruption in the AI\/ML landscape will miss the smaller developments.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-be5a649 elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"be5a649\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.23.0 - 25-07-2024 *\/\n.elementor-widget-image-box .elementor-image-box-content{width:100%}@media (min-width:768px){.elementor-widget-image-box.elementor-position-left .elementor-image-box-wrapper,.elementor-widget-image-box.elementor-position-right .elementor-image-box-wrapper{display:flex}.elementor-widget-image-box.elementor-position-right .elementor-image-box-wrapper{text-align:end;flex-direction:row-reverse}.elementor-widget-image-box.elementor-position-left .elementor-image-box-wrapper{text-align:start;flex-direction:row}.elementor-widget-image-box.elementor-position-top .elementor-image-box-img{margin:auto}.elementor-widget-image-box.elementor-vertical-align-top .elementor-image-box-wrapper{align-items:flex-start}.elementor-widget-image-box.elementor-vertical-align-middle .elementor-image-box-wrapper{align-items:center}.elementor-widget-image-box.elementor-vertical-align-bottom .elementor-image-box-wrapper{align-items:flex-end}}@media (max-width:767px){.elementor-widget-image-box .elementor-image-box-img{margin-left:auto!important;margin-right:auto!important;margin-bottom:15px}}.elementor-widget-image-box .elementor-image-box-img{display:inline-block}.elementor-widget-image-box .elementor-image-box-title a{color:inherit}.elementor-widget-image-box .elementor-image-box-wrapper{text-align:center}.elementor-widget-image-box .elementor-image-box-description{margin:0}<\/style><div class=\"elementor-image-box-wrapper\"><div class=\"elementor-image-box-content\"><h2 class=\"elementor-image-box-title\">1. Specialty hardware and cloud providers are changing the landscape<\/h2><\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4f74f82 elementor-widget elementor-widget-text-editor\" data-id=\"4f74f82\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Gone are the days when on-premises versus cloud was a hot topic of debate for enterprises. Today, even conservative organizations are talking cloud and open source. No wonder cloud platforms are revamping their offerings to include AI\/ML services.<br \/><br \/>With ML solutions becoming more demanding in nature, the number of CPUs and RAM are no longer the only way to speed up or scale. More algorithms are being optimized for specific hardware than ever before \u2013 be it GPUs, TPUs, or \u201cWafer Scale Engines.\u201d This shift towards more specialized hardware to solve AI\/ML problems will accelerate. Organizations will limit their use of CPUs \u2013 to solve only the most basic problems. The risk of being obsolete will render generic compute infrastructure for ML\/AI unviable. That\u2019s reason enough for organizations to switch to cloud platforms.<br \/><br \/>The increase in specialized chips and hardware will also lead to incremental algorithm improvements leveraging the hardware. While new hardware\/chips may allow the use of AI\/ML solutions that were earlier considered slow\/impossible, a lot of the open-source tooling that currently powers the generic hardware needs to be rewritten to benefit from the newer chips. Recent examples of algorithm improvements include <a href=\"https:\/\/arxiv.org\/abs\/2001.06232\">Sideways<\/a> to speed up DL training by parallelizing the training steps, and <a href=\"https:\/\/ai.googleblog.com\/2020\/01\/reformer-efficient-transformer.html\">Reformer<\/a> to optimize the use of memory and compute power.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b68d414 elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"b68d414\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-image-box-wrapper\"><div class=\"elementor-image-box-content\"><h2 class=\"elementor-image-box-title\">2. Innovative solutions are emerging for, and around, privacy<\/h2><\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6b7d9b8 elementor-widget elementor-widget-text-editor\" data-id=\"6b7d9b8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>I also foresee a gradual shift in the focus on data privacy towards privacy implications on ML models. A lot of emphases has been placed on how and what data we gather and how we use it. But ML models are not true black boxes. It is possible to infer the model inputs based on outputs over time. This leads to privacy leakage. Challenges in data and model privacy will force organizations to embrace <a href=\"https:\/\/venturebeat.com\/ai\/how-federated-learning-could-shape-the-future-of-ai-in-a-privacy-obsessed-world\/\">federated learning<\/a> solutions. Last year, Google released <a href=\"https:\/\/venturebeat.com\/ai\/google-releases-tensorflow-privacy-a-library-for-training-ai-models-with-strong-privacy-guarantees\/\">TensorFlow Privacy<\/a>, a framework that works on the principle of differential privacy and the addition of noise to obscure inputs. With federated learning, a user\u2019s data never leaves their device\/machine. These machine learning models are smart enough and have a small enough memory footprint to run on smartphones and learn from the data locally.<br \/><br \/>Usually, the basis for asking for a user\u2019s data was to personalize their individual experience. For example, Google Mail uses the individual user\u2019s typing behaviour to provide autosuggest. What about data\/models that will help improve the experience not just for that individual but for a wider group of people? Would people be willing to share their trained model (not data) to benefit others? There is an interesting business opportunity here: paying users for model parameters that come from training on the data on their local device and using their local computing power to train models (for example, on their phone when it is relatively idle).<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-14f0ea7 elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"14f0ea7\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-image-box-wrapper\"><div class=\"elementor-image-box-content\"><h2 class=\"elementor-image-box-title\">3. Robust model deployment is becoming mission-critical<\/h2><\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6090efc elementor-widget elementor-widget-text-editor\" data-id=\"6090efc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Currently, organizations are struggling to production models for scalability and reliability. The people who are writing the models are <a href=\"https:\/\/venturebeat.com\/business\/actionable-big-data-how-to-bridge-the-gap-between-data-scientists-and-engineers\/\">not necessarily experts on how to deploy them<\/a> with model safety, security, and performance in mind. Once machine learning models become an integral part of mainstream and critical applications, this will inevitably lead to attacks on models similar to the denial-of-service attacks mainstream apps currently face. We\u2019ve already seen some low-tech examples of what this could look like: making a <a href=\"https:\/\/www.mcafee.com\/blogs\/other-blogs\/mcafee-labs\/model-hacking-adas-to-pave-safer-roads-for-autonomous-vehicles\/\">Tesla speed up<\/a> instead of slow down, switch lanes, abruptly stop, or <a href=\"https:\/\/keenlab.tencent.com\/en\/whitepapers\/Experimental_Security_Research_of_Tesla_Autopilot.pdf\">turning on wipers without proper triggers<\/a>. Imagine the impacts such attacks could have on financial systems, healthcare equipment, etc. that rely heavily on AI\/ML?<\/p><p>Currently, adversarial attacks are limited to academia to understand the implications of models better. But in the not too distant future, attacks on models will be \u201cfor-profit\u201d \u2013 driven by your competitors who want to show they are somehow better, or by malicious hackers who may hold you to ransom. For example, new cybersecurity tools today rely on AI\/ML to identify threats like network intrusions and viruses. What if I am able to trigger fake threats? What would be the costs associated with identifying real-vs-fake alerts?[sc name=\u201dblogcontact\u201d]<\/p><p>To counter such threats, organizations need to put more emphasis on model verification to ensure robustness. Some organizations are already using adversarial networks to test deep neural networks. Today, we hire external experts to audit network security, physical security, etc. Similarly, we will see the emergence of a new market for model testing and model security experts, who will test, certify, and maybe take on some liability of model failure.<\/p>\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<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Source: venturebeat According to a Gartner survey, 48% of global CIOs will deploy AI by the end of 2020. However, despite all the optimism around AI and ML, I continue to be a little sceptical. In the near future, I don\u2019t foresee any real inventions that will lead to seismic shifts in productivity and the<\/p>\n","protected":false},"author":1,"featured_media":3782,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1046],"tags":[502,567],"class_list":["post-3781","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-machine-learning","tag-artificial-intelligence-and-machine-learning","tag-artificial-intelligence-development"],"aioseo_notices":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/icaninfotech.com\/wp-content\/uploads\/2020\/03\/mial.jpg","_links":{"self":[{"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/posts\/3781","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/comments?post=3781"}],"version-history":[{"count":0,"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/posts\/3781\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/media\/3782"}],"wp:attachment":[{"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/media?parent=3781"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/categories?post=3781"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/icaninfotech.com\/wp-json\/wp\/v2\/tags?post=3781"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}