Artificial Intelligence / Machine Learning / Deep Learning

When AI can transcribe everything [Noone]

On 06/23/2017, in Artificial Intelligence / Machine Learning / Deep Learning, emerging technologies, future, Languages and translation, tools, vendors, voice recognition / voice enabled interfaces, by Daniel Christian

When AI can transcribe everything — from theatlantic.com by Greg Noone
Tech companies are rapidly developing tools to save people from the drudgery of typing out conversations—and the impact could be profound.

Excerpt:

Despite the recent emergence of browser-based transcription aids, transcription’s an area of drudgery in the modern Western economy where machines can’t quite squeeze human beings out of the equation. That is until last year, when Microsoft built one that could.

Automatic speech recognition, or ASR, is an area that has gripped the firm’s chief speech scientist, Xuedong Huang, since he entered a doctoral program at Scotland’s Edinburgh University. “I’d just left China,” he says, remembering the difficulty he had in using his undergraduate knowledge of the American English to parse the Scottish brogue of his lecturers. “I wished every lecturer and every professor, when they talked in the classroom, could have subtitles.”
…
“That’s the thing with transcription technology in general,” says Prenger. “Once the accuracy gets above a certain bar, everyone will probably start doing their transcriptions that way, at least for the first several rounds.” He predicts that, ultimately, automated transcription tools will increase both the supply of and the demand for transcripts. “There could be a virtuous circle where more people expect more of their audio that they produce to be transcribed, because it’s now cheaper and easier to get things transcribed quickly. And so, it becomes the standard to transcribe everything.”

What a future, powerful, global learning platform will look & act like [Christian]

On 06/22/2017, in 21st century, 24x7x365 access, A/V -- audio/visual, accessibility, adult learning, algorithms, Amazon, analytics, Apple, Artificial Intelligence / Machine Learning / Deep Learning, assessment, assistive technologies, attention, augmented reality, Blackboard, Blockchain, blogs / blogging, bots, Bring your own device (BYOD), business side of he, career development, change, Christian education, cloud-based computing / apps / other cloud-related, CMS/LMS, cognitive computing, collaboration, colleges, communications, communities of practice, community colleges, competency-based learning/education, computer science, content development, content repositories, convergence, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, Daniel S. Christian, data mining, digital audio, digital learning, digital textbooks, digital video, disruption, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, Facebook, future, future of higher education, game-changing environment, global / globalization, Google, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), IBM, ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, internet, iPad, iPhone, K-12 related, Languages and translation, learning, Learning Agents, learning ecosystem, learning from the living [class] room, learning hubs, learning preferences, learning spaces, liberal arts, Lifelong learning, love of learning, machine-to-machine communications, Microlearning, Microsoft, Mobile learning, more choice more control, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), new business models, online learning, online media, online tutoring, participation, personalized/customized learning, platforms, professional development, reinvent, robotics, RSS, second screen apps, simulations, smart classrooms, Smart/Connected TV, social learning / networks, society, staying relevant, streams of content, student-related, surviving, tablets, teaching & learning, teaching online, Technologies for your home, technology (general), telepresence, television, tools, training / L&D, tvOS-based apps, Universal Design for Learning (UDL), universities, user experience, Using teams, UX, vendors, videoconferencing, virtual field trips, virtual K-12 schools, virtual reality / worlds / learning, virtual tutoring, vision, voice recognition / voice enabled interfaces, Walmart of Education --> New Amazon.com of Higher Education, web-based collaboration, webinars, workplace, by Daniel Christian

Learning from the Living [Class] Room:
A vision for a global, powerful, next generation learning platform

By Daniel Christian

NOTE: Having recently lost my Senior Instructional Designer position due to a staff reduction program, I am looking to help build such a platform as this. So if you are working on such a platform or know of someone who is, please let me know: danielchristian55.com.

I want to help people reinvent themselves quickly, efficiently, and cost-effectively — while providing more choice, more control to lifelong learners. This will become critically important as artificial intelligence, robotics, algorithms, and automation continue to impact the workplace.

Learning from the Living [Class] Room:
A global, powerful, next generation learning platform

What does the vision entail?

A new, global, collaborative learning platform that offers more choice, more control to learners of all ages – 24×7 – and could become the organization that futurist Thomas Frey discusses here with Business Insider:

“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.

A learner-centered platform that is enabled by – and reliant upon – human beings but is backed up by a powerful suite of technologies that work together in order to help people reinvent themselves quickly, conveniently, and extremely cost-effectively
An AI-backed system of analyzing employment trends and opportunities will highlight those courses and “streams of content” that will help someone obtain the most in-demand skills
A system that tracks learning and, via Blockchain-based technologies, feeds all completed learning modules/courses into learners’ web-based learner profiles
A learning platform that provides customized, personalized recommendation lists – based upon the learner’s goals
A platform that delivers customized, personalized learning within a self-directed course ?(meant for those content creators who want to deliver more sophisticated courses/modules while moving people through the relevant Zones of Proximal Development)
Notifications and/or inspirational quotes will be available upon request to help provide motivation, encouragement, and accountability – helping learners establish habits of continual, lifelong-based learning
(Potentially) An online-based marketplace, matching learners with teachers, professors, and other such Subject Matter Experts (SMEs)
(Potentially) Direct access to popular job search sites
(Potentially) Direct access to resources that describe what other companies do/provide and descriptions of any particular company’s culture (as described by current and former employees and freelancers)

Further details:
While basic courses will be accessible via mobile devices, the optimal learning experience will leverage two or more displays/devices. So while smaller smartphones, laptops, and/or desktop workstations will be used to communicate synchronously or asynchronously with other learners, the larger displays will deliver an excellent learning environment for times when there is:

A Subject Matter Expert (SME) giving a talk or making a presentation on any given topic
A need to display multiple things going on at once, such as:
The SME(s)
An application or multiple applications that the SME(s) are using
Content/resources that learners are submitting in real-time (think Bluescape, T1V, Prysm, other)
The ability to annotate on top of the application(s) and point to things w/in the app(s)
Media being used to support the presentation such as pictures, graphics, graphs, videos, simulations, animations, audio, links to other resources, GPS coordinates for an app such as Google Earth, other
Other attendees (think Google Hangouts, Skype, Polycom, or other videoconferencing tools)
An (optional) representation of the Personal Assistant (such as today’s Alexa, Siri, M, Google Assistant, etc.) that’s being employed via the use of Artificial Intelligence (AI)

This new learning platform will also feature:

Voice-based commands to drive the system (via Natural Language Processing (NLP))
Language translation ?(using techs similar to what’s being used in Translate One2One, an earpiece powered by IBM Watson)
Speech-to-text capabilities for use w/ chatbots, messaging, inserting discussion board postings
Text-to-speech capabilities as an assistive technology and also for everyone to be able to be mobile while listening to what’s been typed
Chatbots
- For learning how to use the system
- For asking questions of – and addressing any issues with – the organization owning the system (credentials, payments, obtaining technical support, etc.)
- For asking questions within a course
As many profiles as needed per household
(Optional) Machine-to-machine-based communications to automatically launch the correct profile when the system is initiated (from one’s smartphone, laptop, workstation, and/or tablet to a receiver for the system)
(Optional) Voice recognition to efficiently launch the desired profile
(Optional) Facial recognition to efficiently launch the desired profile
(Optional) Upon system launch, to immediately return to where the learner previously left off
The capability of the webcam to recognize objects and bring up relevant resources for that object
A built in RSS feed aggregator – or a similar technology – to enable learners to tap into the relevant “streams of content” that are constantly flowing by them
Social media dashboards/portals – providing quick access to multiple sources of content and whereby learners can contribute their own “streams of content”

In the future, new forms of Human Computer Interaction (HCI) such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) will be integrated into this new learning environment – providing entirely new means of collaborating with one another.

Likely players:

Amazon – personal assistance via Alexa
Apple – personal assistance via Siri
Google – personal assistance via Google Assistant; language translation
Facebook — personal assistance via M
Microsoft – personal assistance via Cortana; language translation
IBM Watson – cognitive computing; language translation
Polycom – videoconferencing
Blackboard – videoconferencing, application sharing, chat, interactive whiteboard
T1V, Prsym, and/or Bluescape – submitting content to a digital canvas/workspace
Samsung, Sharp, LCD, and others – for large displays with integrated microphones, speakers, webcams, etc.
Feedly – RSS aggregator
_________ – for providing backchannels
_________ – for tools to create videocasts and interactive videos
_________ – for blogs, wikis, podcasts, journals
_________ – for quizzes/assessments
_________ – for discussion boards/forums
_________ – for creating AR, MR, and/or VR-based content

For seniors who just graduated & for those looking for work: Google for Jobs

On 06/20/2017, in Artificial Intelligence / Machine Learning / Deep Learning, career development, change, Google, innovation, productivity / tips and tricks, student-related, surviving, vendors, workplace, youth, by Daniel Christian

Connecting more Americans with jobs — from blog.google by Nick Zakrasek

Excerpt:

We have a long history of using our technology to connect people with crucial information. At I/O, we announced Google for Jobs, a company-wide initiative focused on helping both job seekers and employers, through deep collaboration with the job matching industry. This effort includes the Cloud Jobs API, announced last year, which provides access to Google’s machine learning capabilities to power smarter job search and recommendations within career sites, jobs boards, and other job matching sites and apps. Today, we’re taking the next step in the Google for Jobs initiative by putting the convenience and power of Search into the hands of job seekers. With this new experience, we aim to connect Americans to job opportunities across the U.S., so no matter who you are or what kind of job you’re looking for, you can find job postings that match your needs.

How to Use Google for Jobs to Rock Your Career — from avidcareerist.com by Donna Svei

Excerpt:

How Does Google for Jobs Work?
Let me walk you through an example.

Go to your Google search bar.
Enter your preferred job title, followed by the word jobs, and your preferred location. Like this:

Google launches its AI-powered jobs search engine — from techcrunch.com by Frederic Lardinois

Excerpt:

Looking for a new job is getting easier. Google today launched a new jobs search feature right on its search result pages that lets you search for jobs across virtually all of the major online job boards like LinkedIn, Monster, WayUp, DirectEmployers, CareerBuilder and Facebook and others. Google will also include job listings its finds on a company’s homepage.

The idea here is to give job seekers an easy way to see which jobs are available without having to go to multiple sites only to find duplicate postings and lots of irrelevant jobs.

Google for Jobs Could Save You Time on Your Next Job Search — from lifehacker.comby Patrick Allan

Excerpt:

Google launched its new Google for Jobs feature today, which uses their machine learning Cloud API to put job listings from all the major job service sites in one easy-to-search place.

An Artificial Intelligence Developed Its Own Non-Human Language [LaFrance]

On 06/19/2017, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning, bots, Facebook, by Daniel Christian

An Artificial Intelligence Developed Its Own Non-Human Language — from theatlantic.com by Adrienne LaFrance
When Facebook designed chatbots to negotiate with one another, the bots made up their own way of communicating.

Excerpt:

In the report, researchers at the Facebook Artificial Intelligence Research lab describe using machine learning to train their “dialog agents” to negotiate. (And it turns out bots are actually quite good at dealmaking.) At one point, the researchers write, they had to tweak one of their models because otherwise the bot-to-bot conversation “led to divergence from human language as the agents developed their own language for negotiating.” They had to use what’s called a fixed supervised model instead.

In other words, the model that allowed two bots to have a conversation—and use machine learning to constantly iterate strategies for that conversation along the way—led to those bots communicating in their own non-human language. If this doesn’t fill you with a sense of wonder and awe about the future of machines and humanity then, I don’t know, go watch Blade Runner or something.

12 #EmergingTechnologies aiming to transform #UX (#AI #AR #ML #bigdata #IoT) https://t.co/1DO0qwjNc0 HT @MikeQuindazzi #LTW #VivaTech pic.twitter.com/wWahBIc0qD

— Evan Kirstel (@evankirstel) June 14, 2017

From DSC:
Given the increasing use of robotics, automation, and artificial intelligence…how should the question of “What sort of education will you need to be employable in the future?” impact what’s being taught within K-12 & within higher education? Should certain areas within higher education, for example, start owning this research, as well as the strategic planning and whether changes are needed to the core curricula for this increasingly important trend?

The future’s coming at us fast — perhaps faster than we think. It seems prudent to work through some potential scenarios and develop plans for those various scenarios now, rather than react to this trend at some point in the future. If we wait, we’ll be trying to “swim up the backside of the wave” as my wise and wonderful father-in-law would say.

The above reflections occurred after I reviewed the posting out at cmrubinworld.com (with thanks to @STEMbyThomas for this resource):

The Global Search for Education: What Does My Robot Think?
Excerpt:
The Global Search for Education is pleased to welcome Ling Lee, Co-Curator of Robots and the Contemporary Science Manager for Exhibitions at the Science Museum in London, to discuss the impact of robots on our past and future.

World’s first available independent translation earpiece, powered by AI to be in the hands of consumers by July

On 06/13/2017, in Artificial Intelligence / Machine Learning / Deep Learning, Asia, Australia, Canada, cognitive computing, collaboration, communications, corporate / business world, Daniel S. Christian, digital audio, education technology, emerging technologies, Europe, global / globalization, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, intelligent tutoring, Languages and translation, learning from the living [class] room, Mobile technologies, MOOCs -- Massive Open Online Courses, Natural Language Processing (NLP), online learning, online tutoring, platforms, Technologies for your home, tools, UK, United States, user experience, UX, vendors, videoconferencing, voice recognition / voice enabled interfaces, web-based collaboration, workplace, by Daniel Christian

Australian start-up taps IBM Watson to launch language translation earpiece — from prnewswire.com
World’s first available independent translation earpiece, powered by AI to be in the hands of consumers by July

Excerpts:

SYDNEY, June 12, 2017 /PRNewswire/ — Lingmo International, an Australian technology start-up, has today launched Translate One2One, an earpiece powered by IBM Watson that can efficiently translate spoken conversations within seconds, being the first of its kind to hit global markets next month.
…
Unveiled at last week’s United Nations Artificial Intelligence (AI) for Good Summit in Geneva, Switzerland, the Translate One2One earpiece supports translations across English, Japanese, French, Italian, Spanish, Brazilian Portuguese, German and Chinese. Available to purchase today for delivery in July, the earpiece carries a price tag of $179 USD, and is the first independent translation device that doesn’t rely on Bluetooth or Wi-Fi connectivity.

Lingmo International, an Australian technology start-up, has today launched Translate One2One, an earpiece powered by IBM Watson that can efficiently translate spoken conversations within seconds.

From DSC:
How much longer before this sort of technology gets integrated into videoconferencing and transcription tools that are used in online-based courses — enabling global learning at a scale never seen before? (Or perhaps NLP-based tools are already being integrated into global MOOCs and the like…not sure.) It would surely allow for us to learn from each other in a variety of societies throughout the globe.

3 trends that will disrupt your workplace forever — from gallup.com by Andrew Dugan and Bailey Nelson

Excerpts (emphasis DSC):

The AI revolution is here, and leaders are unprepared for its impact on employee engagement.
…
According to Gallup’s analysis, millennials are the generation most vulnerable to the threat of AI and automation, as they are disproportionately more likely to hold positions that Frey and Osborne estimate as having a strong likelihood to one day be replaced by this new technology. Nearly four in 10 millennials (37%) are at high risk of having their job replaced by automation, compared with 32% of those in the two older generations.

To proactively manage employees through the reality of AI integrating into their work environment, leaders need to better understand the nuances of the emotional toll that replacement risk takes on employees. For instance, Gallup finds that 34% of millennials whose jobs are at “medium” or “high” risk for robotic replacement say they are worried about either losing their job or having their job outsourced, compared with 27% of older generations — a statistically significant difference.

How should students — as well as Career Services Groups — respond to the growing use of AI in peoples’ job searches?

On 06/06/2017, in Artificial Intelligence / Machine Learning / Deep Learning, career development, change, corporate / business world, Microsoft, Natural Language Processing (NLP), platforms, social learning / networks, social media, streams of content, student-related, tools, trends, twitter, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

From DSC:
In reviewing the item below, I wondered:

How should students — as well as Career Services Groups/Departments within institutions of higher education — respond to the growing use of artificial intelligence (AI) in peoples’ job searches?

My take on it? Each student needs to have a solid online-based footprint — such as offering one’s own streams of content via a WordPress-based blog, one’s Twitter account, and one’s LinkedIn account. That is, each student has to be out there digitally, not just physically. (Though I suspect having face-to-face conversations and interactions will always be an incredibly powerful means of obtaining jobs as well. But if this trend picks up steam, one’s online-based footprint becomes all the more important to finding work.)

How AI is changing your job hunt — from by Jennifer Alsever

Excerpt (emphasis DSC):

The solution appeared in the form of artificial intelligence software from a young company called Interviewed. It speeds the vetting process by providing online simulations of what applicants might do on their first day as an employee. The software does much more than grade multiple-choice questions. It can capture not only so-called book knowledge but also more intangible human qualities. It uses natural-language processing and machine learning to construct a psychological profile that predicts whether a person will fit a company’s culture. That includes assessing which words he or she favors—a penchant for using “please” and “thank you,” for example, shows empathy and a possible disposition for working with customers—and measuring how well the applicant can juggle conversations and still pay attention to detail. “We can look at 4,000 candidates and within a few days whittle it down to the top 2% to 3%,” claims Freedman, whose company now employs 45 people. “Forty-eight hours later, we’ve hired someone.” It’s not perfect, he says, but it’s faster and better than the human way.

It isn’t just startups using such software; corporate behemoths are implementing it too. Artificial intelligence has come to hiring.

Predictive algorithms and machine learning are fast emerging as tools to identify the best candidates.

Addendum on 6/7/17:

Career site Workey raises $8M 2replace headhunters w/ #AI https://t.co/Efi9nvNGGu DC:A foreshadowing or a continuing trend? Either way..
…

— Daniel Christian (@dchristian5) June 7, 2017

Addendum on 6/15/17:

Want a job? It may be time to have a chat with a bot — from sfchronicle.com by Nicholas Cheng
Excerpt:
“The future is AI-based recruitment,” Mya CEO Eyal Grayevsky said. Candidates who were being interviewed through a chat couldn’t tell that they were talking to a bot, he added — even though the company isn’t trying to pass its bot off as human.

A 2015 study by the National Bureau of Economic Research surveyed 300,000 people and found that those who were hired by a machine, using algorithms to match them to a job, stayed in their jobs 15 percent longer than those who were hired by human recruiters.

A report by the McKinsey Global Institute estimates that more than half of human resources jobs may be lost to automation, though it did not give a time period for that shift.

“Recruiting jobs will definitely go away,” said John Sullivan, who teaches management at San Francisco State University.

Adobe Scan can turn any document into an editable PDF (and it’s free!) — from interestingengineering.com

On 06/06/2017, in Adobe, Artificial Intelligence / Machine Learning / Deep Learning, education technology, productivity / tips and tricks, tools, by Daniel Christian

Adobe Scan can turn any document into an editable PDF (and it’s free!) — from interestingengineering.com

Excerpts:

Adobe is launching Adobe Scan, a brand new mobile application that makes converting paper documents to editable PDF files fast and simple.
…
To develop the app Adobe invested heavily in the company’s machine learning and AI platform, Sensai.

Learning Ecosystems

When AI can transcribe everything [Noone]

An Artificial Intelligence Developed Its Own Non-Human Language [LaFrance]

12 emerging technologies aiming to transform user experience (UX) — from PwC

World’s first available independent translation earpiece, powered by AI to be in the hands of consumers by July

3 trends that will disrupt your workplace forever [Dugan & Nelson]

Adobe Scan can turn any document into an editable PDF (and it’s free!) — from interestingengineering.com

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