{"id":62671,"date":"2018-02-16T14:33:04","date_gmt":"2018-02-16T19:33:04","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=62671"},"modified":"2018-02-16T14:33:04","modified_gmt":"2018-02-16T19:33:04","slug":"what-is-artificial-intelligence-machine-learning-deep-learning-dhande-6-other-items-re-ai-chatbots-nlp-more","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2018\/02\/16\/what-is-artificial-intelligence-machine-learning-deep-learning-dhande-6-other-items-re-ai-chatbots-nlp-more\/","title":{"rendered":"“What is Artificial Intelligence, Machine Learning & Deep Learning?” [Dhande] + 6 other items re: AI, chatbots, NLP, & more"},"content":{"rendered":"

What is Artificial Intelligence, Machine Learning and Deep Learning<\/strong><\/a> — from geospatialworld.net by Meenal Dhande<\/p>\n

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What is the difference between AI, machine learning and deep learning?<\/strong><\/a> — from geospatialworld.net by Meenal Dhande<\/p>\n

Excerpt:<\/em><\/p>\n

In the first part of this blog series<\/strong>,<\/a> we gave you simple and elaborative definitions of what is artificial intelligence (AI), machine learning and deep learning. This is the second part of the series; here we are elucidating our readers with \u2013 What is the difference between AI, machine learning, and deep learning.<\/p>\n

You can think of artificial intelligence (AI), machine learning and deep learning as a set of a matryoshka<\/em> doll, also known as a Russian nesting doll. Deep learning is a subset of machine learning<\/a>, which is a subset of AI.<\/p>\n

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Chatbot for College Students: 4 Chatbots Tips Perfect for College Students<\/strong> <\/a>\u2014 from chatbotsmagazine.com by Zevik Farkash<\/p>\n

Excerpts:<\/em><\/p>\n

1. Feed your chatbot with information your students don\u2019t have.
\n<\/strong>Your institute\u2019s website can be as elaborate as it gets, but if your students can\u2019t find a piece of information on it, it\u2019s as good as incomplete. Say, for example, you offer certain scholarships that students can voluntarily apply for. But the information on these scholarships are tucked away on a remote page that your students don\u2019t access in their day-to-day usage of your site.<\/p>\n

So Amy, a new student, has no idea that there\u2019s a scholarship that can potentially make her course 50% cheaper. She can scour your website for details when she finds the time. Or she can ask your university\u2019s chatbot, \u201cWhere can I find information on your scholarships?\u201d<\/em><\/p>\n

And the chatbot can tell her, \u201cHere\u2019s a link to all our current scholarships.\u201d<\/em><\/p>\n

The best chatbots for colleges and universities tend to be programmed with even more detail, and can actually strike up a conversation by saying things like:<\/p>\n

\u201cPlease give me the following details so I can pull out all the scholarships that apply to you.<\/em>
\n \u201cWhich department are you in? (Please select one.)<\/em>
\n \u201cWhich course are you enrolled in? (Please select one.)<\/em>
\n \u201cWhich year of study are you in? (Please select one.)<\/em>
\n \u201cThank you for the details! Here\u2019s a list of all applicable scholarships. Please visit the links for detailed information and let me know if I can be of further assistance.\u201d<\/em><\/p>\n

2. Let it answer all the \u201cWhat do I do now?\u201d questions.<\/strong><\/p>\n

3. Turn it into a campus guide.<\/strong><\/p>\n

4. Let it take care of paperwork.<\/strong><\/p>\n

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From DSC:<\/em>
\nThis is the sort of thing that I was trying to get at last year at the NGLS 2017 Conference:<\/strong><\/span><\/p>\n

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18 Disruptive Technology Trends For 2018<\/strong><\/a> — from disruptionhub.com by Rob Prevett<\/p>\n

Excerpts:<\/em><\/p>\n

1. Mobile-first to AI-first<\/strong>
\nA major shift in business thinking has placed Artificial Intelligence at the very heart of business strategy. 2017 saw tech giants including Google and Microsoft focus on an\u201cAI first\u201d strategy, leading the way for other major corporates to follow suit. Companies are demonstrating a willingness to use AI and related tools like machine learning to automate processes, reduce administrative tasks, and collect and organise data. Understanding vast amounts of information is vital in the age of mass data, and AI is proving to be a highly effective solution. Whilst AI has been vilified in the media as the enemy of jobs, many businesses have undergone a transformation in mentalities, viewing AI as enhancing rather than threatening the human workforce.<\/p>\n

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7. Voice based virtual assistants become ubiquitous
\n<\/strong>Google HomeThe wide uptake of home based and virtual assistants like Alexa and Google Home have built confidence in conversational interfaces, familiarising consumers with a seamless way of interacting with tech. Amazon and Google have taken prime position between brand and customer, capitalising on conversational convenience. The further adoption of this technology will enhance personalised advertising and sales, creating a direct link between company and consumer.<\/p>\n

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5 Innovative Uses for Machine Learning<\/strong><\/a> — from entrepreneur.com
\nThey’ll be coming into your life — at least your business life — sooner than you think.<\/em><\/p>\n

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Philosophers are building ethical algorithms to help control self-driving cars<\/a><\/strong> \u2013 from qz.com by Olivia Goldhill<\/p>\n

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Tech\u2019s Ethical \u2018Dark Side\u2019: Harvard, Stanford and Others Want to Address It<\/strong> <\/a>\u2014 from nytimes.com by Natasha Singerfeb<\/p>\n

Excerpt:<\/em><\/p>\n

PALO ALTO, Calif. \u2014 The medical profession has an ethic: First, do no harm.<\/p>\n

Silicon Valley has an ethos: Build it first and ask for forgiveness later.<\/p>\n

Now, in the wake of fake news and other troubles at tech companies, universities that helped produce some of Silicon Valley\u2019s top technologists are hustling to bring a more medicine-like morality to computer science.<\/p>\n

This semester, Harvard University and the Massachusetts Institute of Technology are jointly offering a new course on the ethics and regulation of artificial intelligence. The University of Texas at Austin just introduced a course titled \u201cEthical Foundations of Computer Science\u201d \u2014 with the idea of eventually requiring it for all computer science majors.<\/p>\n

And at Stanford University, the academic heart of the industry, three professors and a research fellow are developing a computer science ethics course for next year. They hope several hundred students will enroll.<\/p>\n

The idea is to train the next generation of technologists and policymakers to consider the ramifications of innovations \u2014 like autonomous weapons or self-driving cars \u2014 before those products go on sale.<\/p>\n

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What is Artificial Intelligence, Machine Learning and Deep Learning — from geospatialworld.net by Meenal Dhande             What is the difference between AI, machine learning and deep learning? — from geospatialworld.net by Meenal Dhande Excerpt: In the first part of this blog series, we gave you simple and elaborative definitions of […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[113,329,354,556,356,817,72,210,63,391,821,822],"tags":[],"class_list":["post-62671","post","type-post","status-publish","format-standard","hentry","category-21st-century","category-24x7x365-access","category-av-audiovisual","category-amazon","category-artificial-intelligence-agents-llms-and-related","category-bots","category-daniel-s-christian","category-emerging-technologies","category-google","category-human-computer-interaction-hci","category-natural-language-processing-nlp","category-voice-recognition-voice-enabled-interfaces"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/62671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=62671"}],"version-history":[{"count":7,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/62671\/revisions"}],"predecessor-version":[{"id":62680,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/62671\/revisions\/62680"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=62671"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=62671"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=62671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}