Artificial Intelligence / Machine Learning / Deep Learning

OpenAI’s text-to-image engine, DALL-E, is a powerful visual idea generator [Grossman]

On 01/18/2021, in 21st century, art, Artificial Intelligence / Machine Learning / Deep Learning, creativity, Daniel S. Christian, future, ideas, innovation, intelligent systems, journalism, marketing/social marketing, multimedia, music, visualizing information, by Daniel Christian

OpenAI’s text-to-image engine, DALL-E, is a powerful visual idea generator — from venturebeat.com by Gary Grossman; with thanks to Tim Holt for sharing this resource

Excerpt:

OpenAI chose the name DALL-E as a hat tip to the artist Salvador Dalí and Pixar’s WALL-E. It produces pastiche images that reflect both Dalí’s surrealism that merges dream and fantasy with the everyday rational world, as well as inspiration from NASA paintings from the 1950s and 1960s and those for Disneyland Tomorrowland by Disney Imagineers.

From DSC:
I’m not a big fan of having AI create the music that I listen to, or the artwork that I take in. But I do think there’s potential here in giving creative artists some new fodder for thought! Perhaps marketers and/or journalists could also get their creative juices going from this type of service/offering.

Speaking of art, here are a couple of other postings that caught my eye recently:

This Elaborately Armored Samurai Was Folded From A Single Sheet of Paper — from thisiscolossal.com by Grace Ebert

Also see:

Fabric Portraits by Benjamin Shine — from theawesomer.com

Predictions and trends for Bio and Digital Healthcare in 2021

On 01/14/2021, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning, engineering, health, innovation, telemedicine / telehealth / virtual health, Virtual Reality (VR) / worlds / learning, wearables, XR - extended reality, by Daniel Christian

It’s Time to Heal: 16 Trends Driving the Future of Bio and Healthcare — from a16z.com by Vineeta Agarwala, Jorge Conde, Vijay Pande, and Julie Yoo
It’s Time to Heal is a special package about engineering the future of bio and healthcare. See more at:

Also see:

5 Predictions for Digital Healthcare in 2021 — from wearable-technologies.com by Cathy Russey

Excerpts:

Remote patient care and telemedicine
Virtual Reality
Wearables
Artificial Intelligence
Advancements in Electronic Health Records (EHR)

This avocado armchair could be the future of AI [Douglas]

On 01/08/2021, in 21st century, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, computer science, emerging technologies, entrepreneurship, future, innovation, programming, by Daniel Christian

This avocado armchair could be the future of AI — from technologyreview.com by Will Douglas
OpenAI has extended GPT-3 with two new models that combine NLP with image recognition to give its AI a better understanding of everyday concepts.

“We live in a visual world,” says Ilya Sutskever, chief scientist at OpenAI. “In the long run, you’re going to have models which understand both text and images. AI will be able to understand language better because it can see what words & sentences mean.”

If it were possible to do the Socratic method w/ each of your Ss at one time, would you do it? Could it work? [Christian]

On 01/05/2021, in adjunct faculty, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, assessment, attention, blended learning, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, distance education, education technology, emerging technologies, engagement / engaging students, entrepreneurship, experimentation, face-to-face, future, Google, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, interactivity, K-12 related, languages and translation, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods, learning spaces, multimedia, Natural Language Processing (NLP), online learning, online tutoring, participation, pedagogy, platforms, remote teaching and learning, smart/connected TV, student-related, teachers, training / L&D, Uncategorized, United States, universities, user experience (UX), vendors, videoconferencing, vision/possibilities, voice recognition / voice enabled interfaces, web-based collaboration, by Daniel Christian

From DSC:
For me the Socratic method is still a question mark, in terms of effectiveness. (I suppose it depends on who is yielding the tool and how it’s being utilized/implemented.)

But you have one student — often standing up and/or in the spotlight — who is being drilled on something. That student could be calm and collected, and their cognitive processing could actually get a boost from the adrenaline.

But there are other students who dread being called upon in such a public — sometimes competitive — setting. Their cognitive processing could shut down or become greatly diminished.

Also, the professor is working with one student at a time — hopefully the other students are trying to address each subsequent question, but some students may tune out once they know it’s not their turn in the spotlight.

So I was wondering…could the Socratic method be used with each student at the same time? Could a polling-like tool be used in real-time to guide the discussion?

For example, a professor could start out with a pre-created poll and ask the question of all students. Then they could glance through the responses and even scan for some keywords (using their voice to drive the system and/or using a Ctrl+F / Command+F type of thing).

Then in real-time / on-the-fly, could the professor use their voice to create another poll/question — again for each student to answer — based on one of the responses? Again, each student must answer the follow up question(s).

Are there any vendors out there working on something like this? Or have you tested the effectiveness of something like this?

Vendors: Can you help us create a voice-driven interface to offer the Socratic method to everyone to see if and how it would work? (Like a Mentimeter type of product on steroids…er, rather, using an AI-driven backend.)

Teachers, trainers, pastors, presenters could also benefit from something like this — as it could engage numerous people at once.

#Participation #Engagement #Assessment #Reasoning #CriticalThinking #CommunicationSkills #ThinkingOnOnesFeet #OnlineLearning #Face-to-Face #BlendedLearning #HybridLearning

Could such a method be used in language-related classes as well? In online-based tutoring?

Timnit Gebru’s Exit From Google Exposes a Crisis in AI [Hanna & Whittaker]

On 01/04/2021, in algorithms, Artificial Intelligence / Machine Learning / Deep Learning, career development, Google, society, sociology, the downsides of technology, tools, workplace, by Daniel Christian

Timnit Gebru’s Exit From Google Exposes a Crisis in AI — from wired.com by Alex Hanna and Meredith Whittaker
The situation has made clear that the field needs to change. Here’s where to start, according to a current and a former Googler.

Excerpt:

It was against this backdrop that Google fired Timnit Gebru, our dear friend and colleague, and a leader in the field of artificial intelligence. She is also one of the few Black women in AI research and an unflinching advocate for bringing more BIPOC, women, and non-Western people into the field. By any measure, she excelled at the job Google hired her to perform, including demonstrating racial and gender disparities in facial-analysis technologies and developing reporting guidelines for data sets and AI models. Ironically, this and her vocal advocacy for those underrepresented in AI research are also the reasons, she says, the company fired her. According to Gebru, after demanding that she and her colleagues withdraw a research paper critical of (profitable) large-scale AI systems, Google Research told her team that it had accepted her resignation, despite the fact that she hadn’t resigned. (Google declined to comment for this story.)

Could AI-based techs be used to develop a “table of contents” for the key points within lectures, lessons, training sessions, sermons, & podcasts? [Christian]

On 01/02/2021, in 21st century, 24x7x365 access, A/V -- audio/visual, adjunct faculty, adult learning, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, colleges, communications, communities of practice, community colleges, content development, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital video, distance education, education, education technology, emerging technologies, experimentation, face-to-face, faculty, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, interface design, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods, learning spaces, lecture capture, MOOCs -- Massive Open Online Courses, more choice more control, multimedia, Natural Language Processing (NLP), new media literacies, online learning, online media, online tutoring, pace of change, platforms, podcasting, presentations, productivity / tips and tricks, professional development, remote teaching and learning, smart classrooms, smart/connected TV, student-related, teachers, teaching & learning, teaching online, technologies for your home, tools, training / L&D, transmedia, tvOS-based apps, universities, usability, user experience (UX), user interface design, vendors, videoconferencing, vision/possibilities, voice recognition / voice enabled interfaces, web-based collaboration, webinars, workplace, by Daniel Christian

From DSC:
As we move into 2021, the blistering pace of emerging technologies will likely continue. Technologies such as:

Artificial Intelligence (AI) — including technologies related to voice recognition
Blockchain
Augment Reality (AR)/Mixed Reality (MR)/Virtual Reality (VR) and/or other forms of Extended Reality (XR)
Robotics
Machine-to-Machine Communications (M2M) / The Internet of Things (IoT)
Drones
…and other things will likely make their way into how we do many things (for better or for worse).

Along the positive lines of this topic, I’ve been reflecting upon how we might be able to use AI in our learning experiences.

For example, when teaching in face-to-face-based classrooms — and when a lecture recording app like Panopto is being used — could teachers/professors/trainers audibly “insert” main points along the way? Similar to something like we do with Siri, Alexa, and other personal assistants (“Heh Siri, _____ or “Alexa, _____).

Like an audible version of HTML -- using the spoken word to insert the main points of a presentation or lecture

(Image purchased from iStockphoto)

.

Pretend a lecture, lesson, or a training session is moving right along. Then the professor, teacher, or trainer says:

“Heh Smart Classroom, Begin Main Point.”
Then speaks one of the main points.
Then says, “Heh Smart Classroom, End Main Point.”

Like a verbal version of an HTML tag.

After the recording is done, the AI could locate and call out those “main points” — and create a table of contents for that lecture, lesson, training session, or presentation.

(Alternatively, one could insert a chime/bell/some other sound that the AI scans through later to build the table of contents.)

In the digital realm — say when recording something via Zoom, Cisco Webex, Teams, or another application — the same thing could apply.

Wouldn’t this be great for quickly scanning podcasts for the main points? Or for quickly scanning presentations and webinars for the main points?

Anyway, interesting times lie ahead!

The 12/31/20 EIEIO from Michael Moe

Excerpts:

The 10 Megatrends Shaping Our World

Knowledge Economy
Global Silicon Valley
Digitization
Smart Everything
HomeWork
The Office has become optional but the Zoom Room has become essential. 88% of companies encouraged or required employees to work from home during the pandemic. A near term problem that is rapidly being solved is that only 1 in 4 people are set up currently to work efficiently from home but 99% of employees say they like that option. Overall, due to reducing commutes, office distractions etc., productivity on average rose for most knowledge workers up to 20% greater.It is expected that many knowledge workers will continue to work from home even post the pandemic.
Winner Take All
Data King
Sustainability
Everything is a Subscription
Mission Corp

2 items re: AI in 2021

On 12/30/2020, in 21st century, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, Asia, bots, corporate / business world, Daniel S. Christian, data mining, emerging technologies, entrepreneurship, MBA, technology (general), the downsides of technology, trends, United States, vision/possibilities, workplace, by Daniel Christian

Artificial intelligence will go mainstream in 2021 — from manilatimes.net by Noemi Lardizabal-Dado; with thanks to Matthew Lamons for this resource

Excerpt:

In his December 21 Forbes website article, titled “Why Covid Will Make AI Go Mainstream In 2021,” data scientist Ganes Kesari predicts AI will transform 2021 by accelerating pharmaceutical drug discovery beyond Covid-19. He says the face of telecommuting would change, and that AI would transform edge computing and make devices around us truly intelligent.

Artificial Intelligence in 2021: Endless Opportunities and Growth — from analyticsinsight.net by Priya Dialani; with thanks to Matthew Lamons for this resource

Excerpts:

In 2021, the grittiest of organizations will push AI to new boondocks, for example, holographic meetings for telecommunication and on-demand, personalised manufacturing. They will gamify vital planning, incorporate simulations in the meeting room and move into intelligent edge experiences.

According to Rohan Amin, the Chief Information Officer at Chase, “In 2021, we will see more refined uses of machine learning and artificial intelligence across industries, including financial services. There will be more noteworthy incorporation of AI/ML models and abilities into numerous business operations and processes to drive improved insights and better serve clients.”

From DSC:
I’m a bit more cautious when facing the growth of AI in our world, in our lives, in our society. I see some very positive applications (such as in healthcare and in education), but I’m also concerned about techs involved with facial recognition and other uses of AI that could easily become much more negative and harmful to us in the future.

The Year TV Leaped Into The Future [Roettgers]

On 12/27/2020, in 21st century, 24x7x365 access, A/V -- audio/visual, algorithms, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, bots, business side of he, career development, change, changing business models, cloud-based computing / apps / other cloud-related, communications, content aggregration, content development, content repositories, Daniel S. Christian, digital audio, digital learning, digital storytelling, digital video, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, future, game-changing environment, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods, learning preferences, learning spaces, lifelong learning, MOOCs -- Massive Open Online Courses, new business models, online learning, online media, online tutoring, platforms, reinvent, smart classrooms, smart/connected TV, social learning / networks, social media, society, staying relevant, surviving, teaching online, technologies for your home, technology (general), telecommunications, telelegal, telemedicine / telehealth / virtual health, telepresence, television, tools, training / L&D, trends, United States, using teams, vendors, vision/possibilities, by Daniel Christian

The Year TV Leaped Into The Future — from protocol.com by Janko Roettgers

The lockdowns this year have transformed our homes into offices, schools, concert halls, movie theaters and gyms. Our homes are working harder for us, but so is our technology. The device that is working the hardest is perhaps the TV—becoming our lifeline to a far more virtual world.

Addendums:

The Second Year of The MOOC: 2020 Saw a Rush to Large-Scale Online Courses — from edsurge.com by Dhawal Shah

Excerpt:

This was the year that more people learned what a MOOC is.

As millions suddenly found themselves with free time on their hands during the pandemic, many turned to online courses—especially, to free courses known as MOOCs, or Massive Open Online Courses. This phenomenon was compounded by media worldwide compiling lists of “free things to do during lockdown,” which tended to include MOOCs.

Within two months, Class Central had received over 10 million visits and sent over six million clicks to MOOC providers. These learners also turned out to be more engaged than usual. In April 2020, MOOC providers Coursera, edX and FutureLearn attracted as many new users in a single month as they did in the entirety of 2019.

.

From DSC:
The pieces continue to come together…

...team-based content creation and delivery will dominate in the future (at least for the masses). It will offer engaging, personalized learning and the AI-based systems will be constantly scanning for the required/sought-after skills and competencies. The systems will then present a listing of items that will help people obtain those skills and competencies.

#AI #LearningProfiles #Cloud #LearningFromTheLivingClassRoom #LearningEcosystems #LearningSpaces #21stCentury #24x7x365 #Reinvent #Surviving #StayingRelevant #LifeLongLearning and many more tags/categories are applicable here.

IT careers: 8 hot jobs in 2021 [Overby]

On 12/22/2020, in 21st century, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, career development, cloud-based computing / apps / other cloud-related, IT in HE, strategy, United States, workplace, by Daniel Christian

IT careers: 8 hot jobs in 2021 — from enterprisersproject.com by Stephanie Overby
Both IT job seekers and hiring managers need to understand what’s in high demand. Cloud, security, data, and AI skills star on the list of 2021’s hottest jobs, say IT recruiters and leaders

Excerpts:

Artificial Intelligence (AI) specialists
Strategy-minded software developers and managers
Business-focused data scientists
Data engineers
AIOps analysts, engineers, and architects
Cybersecurity architects and engineers
Cloud architects
IT directors who demonstrate soft skills

The AI Roundup – Top 15 Blogs of 2020 [re-work.com]

On 12/21/2020, in 21st century, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, computer science, data mining, programming, vendors, by Daniel Christian

The AI Roundup – Top 15 Blogs of 2020 — from blog.re-work.co

Excerpt:

Below we have rounded up our 15 most-read blogs of the year, including must-read papers suggestions from AI experts, advice for those starting out in AI, Netflix predictive algorithms and more. See a summary of each blog and link below!

AI: One positive article and one negative article

On 12/17/2020, in algorithms, Artificial Intelligence / Machine Learning / Deep Learning, Asia, digital audio, ethics, hearts -- matters of the heart, media/film, morals/values, platforms, society, the downsides of technology, tools, vendors, voice recognition / voice enabled interfaces, by Daniel Christian

From DSC:
An interesting, more positive use of AI here:

Deepdub uses AI to dub movies in the voice of famous actors — from protocol.com by Janko Roettgers
Fresh out of stealth, the startup is using artificial intelligence to automate the localization process for global streaming.

Excerpt:

Tel Aviv-based startup Deepdub wants to help streaming services accelerate this kind of international rollout by using artificial intelligence for their localization needs. Deepdub, which came out of stealth on Wednesday, has built technology that can translate a voice track to a different language, all while staying true to the voice of the talent. This makes it possible to have someone like Morgan Freeman narrate a movie in French, Italian or Russian without losing what makes Freeman’s voice special and recognizable.

From DSC:
A much more negative use of AI here:

Re: college admissions: Hhmmm….here’s an interesting idea.

On 12/16/2020, in algorithms, Artificial Intelligence / Machine Learning / Deep Learning, business side of he, colleges, community colleges, data mining, future of higher education, higher education, ideas, innovation, intelligent systems, learner profiles, learning agents, learning preferences, liberal arts, universities, by Daniel Christian

Can Algorithms Save College Admissions? — from chronicle.com by Brian Rosenberg
We’ve tried a system based on competition long enough. It isn’t working.

Excerpt (emphasis DSC):

Here is an alternative and much more radical proposal: What if we replaced the current and longstanding admissions process among private colleges with a match process, similar to what has for years been used to match medical-school graduates with residency and fellowship positions? What if, in other words, we used data and algorithms instead of travel, merit aid, and free food to drive college admissions?

From DSC:
Love the “What if…” thinking here and the spirit of innovation behind it. I wonder if AI and cloud-based learner profiles might play into something like this in the future…?

Also see:

7 Ways To Make College Admissions More Equitable — from stradaeducation.org by Patty Reinert Mason and Jeff Selingo
Is it time to reconsider early-decision applications, legacy preferences, and reliance on feeder high schools?
Selingo offers these practical steps colleges and universities can take to make admissions more equitable:

Eliminate early-decision applications.
Be upfront about what you’re looking for in this year’s incoming class so students and parents have the information they need.
Be transparent about what it costs to study at your school.
Look beyond traditional “feeder high schools” for recruitment, creating opportunity for a more diverse group of students.
Reduce preferences given to athletes and legacies.
Rethink application requirements to put more emphasis on high school coursework and grades and less on extracurriculars, recommendations, and essays.
Expand the size of freshman classes.

Also see:

Attention Administrators: More Flexibility in Online/Course Schedules Results in Higher Enrollment — from fierceeducation.comby Jacqueline Renfrow

Teaching with Amazon Alexa — from Sylvia Martinez

Excerpt:

Alexa is a voice-activated, cloud-based virtual assistant, similar to Siri on Apple devices, or Google Assistant. Alexa is an umbrella name for the cloud-based functionality that responds to verbal commands. Alexa uses artificial intelligence to answer questions or control smart devices, and has a range of “skills” — small programs that you can add to increase Alexa’s capabilities.

Many teachers are experimenting with using smart devices like Alexa in the classroom. Like most other Amazon features and products, Alexa is primarily designed for home use, anticipating that users will be household members. So in thinking about Alexa in a classroom, keeping this in mind will help determine the best educational uses.

Alexa is most often accessed in three ways…

23 Greatest Engineering Highlights from 2020 [McFadden]

On 12/15/2020, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning, digital photography, emerging technologies, engineering, entrepreneurship, future, game-changing environment, Google, health, photography, robotics, science, society, STEAM-related, telecommunications, by Daniel Christian

23 Greatest Engineering Highlights from 2020 — from interestingengineering.com by Christopher McFadden
These are some of the greatest engineering highlights from 2020.

Learning Ecosystems

OpenAI’s text-to-image engine, DALL-E, is a powerful visual idea generator [Grossman]

Predictions and trends for Bio and Digital Healthcare in 2021

This avocado armchair could be the future of AI [Douglas]

Timnit Gebru’s Exit From Google Exposes a Crisis in AI [Hanna & Whittaker]

The 12/31/20 EIEIO from Michael Moe

2 items re: AI in 2021

IT careers: 8 hot jobs in 2021 [Overby]

The AI Roundup – Top 15 Blogs of 2020 [re-work.com]

AI: One positive article and one negative article

Re: college admissions: Hhmmm….here’s an interesting idea.

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