Recent Advancements In Artificial Intelligence — from forbes.com by Gaurav Tewari

Excerpts:

As the founder of a technology investment firm, I’ve seen firsthand just how much AI has advanced in such a short period of time. The underlying building blocks of the technology are getting astonishingly better at an exponential rate, far outpacing our expectations. Techniques like deep learning allow us to run complex AI models to solve the most difficult problems. But while those who work in technology-centric careers are aware of AI’s explosive capabilities, the public at large is still largely unaware of the depth of AI’s potential.

Enterprise functions such as marketing, sales, finance and HR are all areas that can utilize new AI-enabled applications; these applications include providing customers with 24/7 financial guidance, predicting and assessing loan risks and collecting and analyzing client data.

Also relevant/see:

What is the Future of Artificial Intelligence? — from thedigitalspeaker.com by Dr. Mark van Rijmenam

Excerpts:

Let’s explore some real-life artificial intelligence applications.

  1. Using Artificial Intelligence for Navigation
  2. Marketers Use Artificial Intelligence to Increase Their Efficiency
  3. The use of Artificial Intelligence in robotics
  4. Gaming and Artificial Intelligence
  5. Incorporating Artificial Intelligence into Lifestyles

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis; with thanks to Mr. Stephen Downes for this resource
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

While these seven AI roles are critical, finding talent to fill them is difficult.  AI, machine learning, and data analytics are new fields, and few people have relevant experience.

This leads us back to the fact: We are dealing with a Great Reallocation of the labor force to an AI/Machine learning, data-driven world.

3 ways AI is scaling helpful technologies worldwide — from blog.google by Jeff Dean
Decades of research have led to today’s rapid progress in AI. Today, we’re announcing three new ways people are poised to benefit.

Excerpts:

  1. Supporting 1,000 languages with AI
  2. Empowering creators and artists with AI
  3. Addressing climate change and health challenges with AI
 

How AI will change Education: Part I | Transcend Newsletter #59 — from transcend.substack.com by Alberto Arenaza; with thanks to GSV’s Big 10 for this resource

Excerpt:

You’ve likely been reading for the last few minutes my arguments for why AI is going to change education. You may agree with some points, disagree with others…

Only, those were not my words.

An AI has written every single word in this essay up until here.

The only thing I wrote myself was the first sentence: Artificial Intelligence is going to revolutionize education. The images too, everything was generated by AI.

 

Using Virtual Reality for Career Training — from techlearning.com by Erik Ofgang
The Boys & Girls Clubs of Indiana have had success using virtual reality simulations to teach students about career opportunities.

a Woman with a virtual reality set on occupies one half of the screen. The other shows virtual tools that she is controlling.

Excerpts:

Virtual reality can help boost CTE programs and teach students about potential careers in fields they may know nothing about, says Lana Taylor from the Indiana Alliance of Boys & Girls Clubs of America.

One of those other resources has been a partnership with Transfer VR to provide students access to headsets to participate in career simulations that can give them a tactile sense of what working in certain careers might be like.

“Not all kids are meant to go to college, not all kids want to do it,” Taylor says. “So it’s important to give them some exposure to different careers and workforce paths that maybe they hadn’t thought of before.” 


AI interviews in VR prepare students for real jobseeking — from inavateonthenet.net

 

Get Ready to Relearn How to Use the Internet — from bloomberg.com by Tyle Cowen; with thanks to Sam DeBrule for this resource
Everyone knows that an AI revolution is coming, but no one seems to realize how profoundly it will change their day-to-day life.

Excerpts:

This year has brought a lot of innovation in artificial intelligence, which I have tried to keep up with, but too many people still do not appreciate the import of what is to come. I commonly hear comments such as, “Those are cool images, graphic designers will work with that,” or, “GPT-3 is cool, it will be easier to cheat on term papers.” And then they end by saying: “But it won’t change my life.”

This view is likely to be proven wrong — and soon, as AI is about to revolutionize our entire information architecture. You will have to learn how to use the internet all over again.

Change is coming. Consider Twitter, which I use each morning to gather information about the world. Less than two years from now, maybe I will speak into my computer, outline my topics of interest, and somebody’s version of AI will spit back to me a kind of Twitter remix, in a readable format and tailored to my needs.

The AI also will be not only responsive but active. Maybe it will tell me, “Today you really do need to read about Russia and changes in the UK government.” Or I might say, “More serendipity today, please,” and that wish would be granted.

Of course all this is just one man’s opinion. If you disagree, in a few years you will be able to ask the new AI engines what they think.

Some other recent items from Sam DeBrule include:

Natural Language Assessment: A New Framework to Promote Education — from ai.googleblog.com by Kedem Snir and Gal Elidan

Excerpt:

In this blog, we introduce an important natural language understanding (NLU) capability called Natural Language Assessment (NLA), and discuss how it can be helpful in the context of education. While typical NLU tasks focus on the user’s intent, NLA allows for the assessment of an answer from multiple perspectives. In situations where a user wants to know how good their answer is, NLA can offer an analysis of how close the answer is to what is expected. In situations where there may not be a “correct” answer, NLA can offer subtle insights that include topicality, relevance, verbosity, and beyond. We formulate the scope of NLA, present a practical model for carrying out topicality NLA, and showcase how NLA has been used to help job seekers practice answering interview questions with Google’s new interview prep tool, Interview Warmup.

How AI could help translate extreme weather alerts — from axios.com by Ayurella Horn-Muller

Excerpt:

A startup that provides AI-powered translation is working with the National Weather Service to improve language translations of extreme weather alerts across the U.S.

Using GPT-3 to augment human intelligence — from escapingflatland.substack.com by Henrik Karlsson

Excerpt:

When I’ve been doing this with GPT-3, a 175 billion parameter language model, it has been uncanny how much it reminds me of blogging. When I’m writing this, from March through August 2022, large language models are not yet as good at responding to my prompts as the readers of my blog. But their capacity is improving fast and the prices are dropping.

Soon everyone can have an alien intelligence in their inbox.

 

7 Technologies that are Changing Healthcare — from digitalsalutem.com by João Bocas

In this article we are going to talk about the seven technologies that are changing healthcare:

  1. Artificial Intelligence
  2. Blockchain
  3. Virtual Reality
  4. Robots
  5. Mapping technologies
  6. Big Data
  7. Neurotechnology

This startup 3D prints tiny homes from recyclable plastics — from interestingengineering.com by Nergis Firtina; with thanks to Laura Goodrich for this resource

A 3D printed house by Azure

Satellite Billboards Are a Dystopian Future We Don’t Need — from gizmodo.com by George Dvorsky; with thanks to Laura Goodrich for this resource
Brightly lit ads in orbit are technologically and economically viable, say Russian scientists. But can we not?

Artist’s conception of a cubesat ad showing the Olympic rings. Image: Shamil Biktimirov/Skoltech

South Korea to Provide Blockchain-based Digital Identities to Citizens by 2024 — from blockchain.news by Annie Li; with thanks to Laura Goodrich for this resource

Excerpt:

South Korea plans to provide digital identities encrypted by blockchain with smartphones to citizens in 2024 to facilitate its economic development., Bloomberg reported Monday.

The South Korean government stated that with the expansion of the digital economy, the ID embedded in the smartphone is an indispensable emerging technology to support the development of data.

From DSC:
Interesting to see blockchain show up in the first item above on healthcare and also on this item coming out of South Korea for digital identities.

The Bruce Willis Deepfake Is Everyone’s Problem — from wired.com by Will Bedingfield; with thanks to Stephen Downes for this resource
There’s a fight brewing over how Hollywood stars can protect their identities. But it’s not just actors who should be paying attention.

Excerpts:

Yet the question of “who owns Bruce Willis,” as Levy put it, isn’t only a concern for the Hollywood star and his representatives. It concerns actors unions across the world, fighting against contracts that exploit their members’ naivety about AI. And, for some experts, it’s a question that implicates everyone, portending a wilder, dystopian future—one in which identities are bought, sold, and seized.

“This is relevant not just to AI contracts [for synthetic performances], but any contract involving rights to one’s likeness and voice,” says Danielle S. Van Lier, assistant general counsel, intellectual property and contracts at SAG-AFTRA. “We have been seeing contracts that now include ‘simulation rights’ to performers’ images, voices, and performances. These contract terms are buried deep in the boilerplate of performance agreements in traditional media.”


Addendum on 10/26/22:


 

6 trends are driving the use of #metaverse tech today. These trends and technologies will continue to drive its use over the next 3 to 5 years:

1. Gaming
2. Digital Humans
3. Virtual Spaces
4. Shared Experiences
5. Tokenized Assets
6. Spatial Computing
#GartnerSYM

.

“Despite all of the hype, the adoption of #metaverse tech is nascent and fragmented.” 

.

Also relevant/see:

According to Apple CEO Tim Cook, the Next Internet Revolution Is Not the Metaverse. It’s This — from inc.com by Nick Hobson
The metaverse is just too wacky and weird to be the next big thing. Tim Cook is betting on AR.

Excerpts:

While he might know a thing or two about radical tech, to him it’s unconvincing that the average person sufficiently understands the concept of the metaverse enough to meaningfully incorporate it into their daily life.

The metaverse is just too wacky and weird.

And, according to science, he might be on to something.

 

Higher Education in Motion: The Digital and Cultural Transformations Ahead — from er.educause.edu by John O’Brien

Excerpts (emphasis DSC):

In 2015 when Janet Napolitano, then president of the University of California, responded to what she saw as a steadily growing “chorus of doom” predicting the demise of higher education, she did so with a turn of phrase that captured my imagination and still does. She said that higher education is not in crisis. “Instead, it is in motion, and it always has been.”

A brief insert by DSC:
Yes. In other words, it’s a learning ecosystem — with constant morphing & changing going on.

“We insisted then, and we continue to insist now, that digital transformation amounts to deep and coordinated change that substantially reshapes the operations, strategic directions, and value propositions of colleges and universities and that this change is enabled by culture, workforce, and technology shifts.

The tidal movement to digital transformation is linked to a demonstrably broader recognition of the strategic role and value of technology professionals and leaders on campus, another area of long-standing EDUCAUSE advocacy. For longer than we have talked about digital transformation, we have insisted that technology must be understood as a strategic asset, not a utility, and that senior IT leaders must be part of the campus strategic decision-making. But the idea of a strategic role for technology had disappointing traction among senior campus leaders before 2020.

From DSC:
The Presidents, Provosts, CIO’s, board members, influential faculty members, and other members of institutions’ key leadership positions who didn’t move powerfully forward with online-based learning over the last two+ decades missed the biggest thing to hit societies’ ability to learn in 500+ years — the Internet. Not since the invention of the printing press has learning had such an incredible gust of wind put in its sails. The affordances have been staggering, with millions of people now being educated in much less expensive ways (MOOCs, YouTube, LinkedIn Learning, other). Those who didn’t move forward with online-based learning in the past are currently scrambling to even survive. We’ll see how many close their doors as the number of effective alternatives increases.

Instead of functioning as a one-time fix during the pandemic, technology has become ubiquitous and relied upon to an ever-increasing degree across campus and across the student experience.

Moving forward, best of luck to those organizations who don’t have their CIOs at the decision-making table and reporting directly to the Presidents — and hopefully those CIO’s are innovative and visionary to begin with. Best of luck to those institutions who refuse to look up and around to see that the world has significantly changed from the time they got their degrees.

The current mix of new realities creates an opportunity for an evolution and, ideally, a synchronized reimagination of higher education overall. This will be driven by technology innovation and technology professionals—and will be made even more enduring by a campus culture of care for students, faculty, and staff.

Time will tell if the current cultures within many traditional institutions of higher education will allow them to adapt/change…or not.


Along the lines of transformations in our learning ecosystems, also see:


OPINION: Let’s use the pandemic as a dress-rehearsal for much-needed digital transformation — from hechingerreport.org by Jean-Claude Brizard
Schools must get ready for the next disruption and make high-quality learning available to all

Excerpts:

We should use this moment to catalyze a digital transformation of education that will prepare schools for our uncertain future.

What should come next is an examination of how schools can more deeply and deliberately harness technology to make high-quality learning accessible to every learner, even in the wake of a crisis. That means a digital transformation, with three key levers for change: in the classroom, in schools and at the systems level.

Platforms like these help improve student outcomes by enhancing teachers’ ability to meet individual students’ needs. They also allow learners to master new skills at their own pace, in their own way.

As Digital Transformation in Schools Continues, the Need for Enterprising IT Leaders Grows — from edtechmagazine.com by Ryan Petersen

K-12 IT leaders move beyond silos to make a meaningful impact inside and outside their schools.According to Korn Ferry’s research on enterprise leadership, “Enterprise leaders envision and grow; scale and create. They go beyond by going across the enterprise, optimizing the whole organization and its entire ecosystem by leading outside what they can control. These are leaders who see their role as being a participant in diverse and dynamic communities.”

 

 

World’s fastest internet network upgraded to 46 Terabit/s — from inavateonthenet.net

The worlds fastest internet network upgraded to 46 Terabit/s - this picture shows telecomm cables

Excerpt (emphasis DSC):

The Energy Sciences Network (Esnet), the fastest internet network in the US, has been upgraded to ESnet6, and now offers a bandwidth of 46 Terabits per second (Tbps).

To put this in to context, the average speed enjoyed by consumers at home is 100 or 200 Megabits per second (Mbps), ESnet6 is equivalent to 46 million Mbps.

 

2022 EDUCAUSE Horizon Action Plan: Hybrid Learning — from library.educause.edu

Excerpts:

Building on the trends, technologies, and practices described in the 2022 Horizon Report: Teaching and Learning Edition, the panel crafted its vision of the future along with practical action items the teaching and learning community can employ to make this future a reality. Any stakeholder in higher education who teaches in or supports hybrid learning modalities will find this report helpful in preparing for the future of hybrid learning. The future we want is within reach, but only if we work together.

Asked to describe the goals and elements of hybrid learning that they would like to see 10 years from now, panelists collaboratively constructed their preferred future for institutions, students, instructors, and staff.

Institutions

  • Higher education is available on demand.
  • Learning is not measured by seat time.
  • Collaboration across institutions facilitates advancement.
  • College and university campuses are not the sole locations for learning spaces.

Students, Instructors, and Staff

  • Everything is hybrid.
  • Student equity is centered in all modalities.
  • Professional development is ongoing, integrated, and valued.
 

DSC: What?!?! How might this new type of “parallel reality” impact smart classrooms, conference rooms, and board rooms? And/or our living rooms? Will it help deliver more personalized learning experiences within a classroom?


 

What might the ramifications be for text-to-everything? [Christian]

From DSC:

  • We can now type in text to get graphics and artwork.
  • We can now type in text to get videos.
  • There are several tools to give us transcripts of what was said during a presentation.
  • We can search videos for spoken words and/or for words listed within slides within a presentation.

Allie Miller’s posting on LinkedIn (see below) pointed these things out as well — along with several other things.



This raises some ideas/questions for me:

  • What might the ramifications be in our learning ecosystems for these types of functionalities? What affordances are forthcoming? For example, a teacher, professor, or trainer could quickly produce several types of media from the same presentation.
  • What’s said in a videoconference or a webinar can already be captured, translated, and transcribed.
  • Or what’s said in a virtual courtroom, or in a telehealth-based appointment. Or perhaps, what we currently think of as a smart/connected TV will give us these functionalities as well.
  • How might this type of thing impact storytelling?
  • Will this help someone who prefers to soak in information via the spoken word, or via a podcast, or via a video?
  • What does this mean for Augmented Reality (AR), Mixed Reality (MR), and/or Virtual Reality (VR) types of devices?
  • Will this kind of thing be standard in the next version of the Internet (Web3)?
  • Will this help people with special needs — and way beyond accessibility-related needs?
  • Will data be next (instead of typing in text)?

Hmmm….interesting times ahead.

 

Utah’s reforms offer model for serving low-income and indigent people, report suggests — from abajournal.com by Matt Reynolds

Excerpt:

The Utah model of reform allowing nonlawyers to offer legal services could be “critical” to serving people who can’t afford them, according to a Stanford Law School study published Tuesday.

The 59-page report by the school’s Deborah L. Rhode Center on the Legal Profession offers an early look at how regulatory changes in Arizona and Utah have impacted the delivery of legal services. It also examined who is being served by innovations in those states.

 

Also relevant, see this upcoming webinar:

Upcoming webinar -- licensing legal paraprofessionals

Two neighboring states — Oregon and California — have recently come to different conclusions on whether to license paralegals to provide some legal services.

In July, the Oregon Supreme Court, with the support of the Oregon State Bar’s Board of Governors, approved a proposal to allow licensed paralegals to provide limited legal services in family law and landlord/tenant cases — two areas of law with large numbers of self-represented litigants. In August, the California legislature, after opposition from some lawyers’ groups, prohibited the State Bar of California from implementing, or even proposing, any loosening of existing restrictions on the unauthorized practice of law before 2025, effectively killing a proposal to permit licensing of paraprofessionals to provide limited legal services.

This webinar will explore how and why Oregon and California reached conflicting results and identify lessons learned from both experiences.

Register >>


Also relevant/see:

IAALS Panel Explores Alternative Paths to Legal Licensure — from iaals.du.edu

Redesigning Legal: Redesigning How We License New Lawyers from IAALS on Vimeo.


Also see the following items from Natalie Anne Knowlton (@natalalleycat) on Twitter

 

 

OpenAI Says DALL-E Is Generating Over 2 Million Images a Day—and That’s Just Table Stakes — from singularityhub.com by Jason Dorrier

Excerpt:

The venerable stock image site, Getty, boasts a catalog of 80 million images. Shutterstock, a rival of Getty, offers 415 million images. It took a few decades to build up these prodigious libraries.

Now, it seems we’ll have to redefine prodigious. In a blog post last week, OpenAI said its machine learning algorithm, DALL-E 2, is generating over two million images a day. At that pace, its output would equal Getty and Shutterstock combined in eight months. The algorithm is producing almost as many images daily as the entire collection of free image site Unsplash.

And that was before OpenAI opened DALL-E 2 to everyone.

 


From DSC:
Further on down that Tweet is this example image — wow!
.

A photo of a quaint flower shop storefront with a pastel green and clean white facade and open door and big window

.


On the video side of things, also relevant/see:

Meta’s new text-to-video AI generator is like DALL-E for video — from theverge.com by James Vincent
Just type a description and the AI generates matching footage

A sample video generated by Meta’s new AI text-to-video model, Make-A-Video. The text prompt used to create the video was “a teddy bear painting a portrait.” Image: Meta


From DSC:
Hmmm…I wonder…how might these emerging technologies impact copyrights, intellectual property, and/or other types of legal matters and areas?


 
 

Course Awareness in HyFlex: Managing unequal participation numbers — from hyflexlearning.org by Candice Freeman

Excerpt:

How do you teach a HyFlex course when the number of students in various participation modes is very unequal? How do you teach one student in a mode – often in the classroom? Conversely, you could ask how do you teach 50 asynchronous students with very few in the synchronous mode(s)? Answers will vary greatly depending from teacher to teacher. This article suggests a strategy called Course Awareness, a mindfulness technique designed to help teachers envision each learner as being in the instructor’s presence and engaged in the instruction regardless of participation (or attendance) mode choice.

Teaching HyFlex in an active learning classroom

From DSC:
I had understood the hyflex teaching model as addressing both online-based (i.e., virtual/not on-site) and on-site/physically-present students at the same time — and that each student could choose the manner in which they wanted to attend that day’s class. For example, on one day, a student could take the course in room 123 of Anderson Hall. The next time the class meets, that same student could attend from their dorm room.

But this article introduces — at least to me — the idea that we have a third method of participating in the hyflex model — asynchronously (i.e., not at the same time). So rather than making their way to Anderson Hall or attending from their dorm, that same student does not attend at the same time as other students (either virtually or physically). That student will likely check in with a variety of tools to catch up with — and contribute to — the discussions. As the article mentions:

Strategically, you need to employ web-based resources designed to gather real-time information over a specified period of time, capturing all students and not just students engaging live. For example, Mentimeter, PollEverywhere, and Sli.do allow the instructor to pose engaging, interactive questions without limiting engagement time to the instance the question is initially posed. These tools are designed to support both synchronous and asynchronous participation. 

So it will be interesting to see how our learning ecosystems morph in this area. Will there be other new affordances, pedagogies, and tools that take into consideration that the faculty members are addressing synchronous and asynchronous students as well as online and physically present students? Hmmm…more experimentation is needed here, as well as more:

  • Research
  • Instructional design
  • Design thinking
  • Feedback from students and faculty members

Will this type of model work best in the higher education learning ecosystem but not the K-12 learning ecosystem? Will it thrive with employees within the corporate realm? Hmmm…again, time will tell.


And to add another layer to the teaching and learning onion, now let’s talk about multimodal learning. This article, How to support multimodal learningby Monica Burns, mentions that:

Multimodal learning is a teaching concept where using different senses simultaneously helps students interact with content at a deeper level. In the same way we learn through multiple types of media in our own journey as lifelong learners, students can benefit from this type of learning experience.

The only comment I have here is that if you think that throwing a warm body into a K12 classroom fixes the problem of teachers leaving the field, you haven’t a clue how complex this teaching and learning onion is. Good luck to all of those people who are being thrown into the deep end — and essentially being told to sink or swim.

 
© 2024 | Daniel Christian