Virtual Reality (VR) / worlds / learning

Some ideas & resources re: how we could use AI to enhance our learning ecosystems

On 05/09/2023, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, accessibility / UDL, Artificial Intelligence/Agents/LLMs/and Related, blogs / blogging / vlogging, cloud-based computing / apps / other cloud-related, collaboration, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, design, digital learning, education technology, elearning, emerging technologies, future, game-changing environment, graphics, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, learning ecosystem, Learning Experience Design, NVIDIA, pedagogy, personalized/customized learning, platforms, podcasting, simulations, tools, training / L&D, United States, universities, usability, user experience (UX), using teams, vendors, Virtual courts and law firms, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, Web3, by Daniel Christian

Brainyacts #57: Education Tech— from thebrainyacts.beehiiv.com by Josh Kubicki

Excerpts:

Let’s look at some ideas of how law schools could use AI tools like Khanmigo or ChatGPT to support lectures, assignments, and discussions, or use plagiarism detection software to maintain academic integrity.

Personalized learning
Virtual tutors and coaches
Interactive simulations
Enhanced course materials
Collaborative learning
Automated assessment and feedback
Continuous improvement
Accessibility and inclusivity

AI Will Democratize Learning — from td.org by Julia Stiglitz and Sourabh Bajaj

Excerpts:

In particular, we’re betting on four trends for AI and L&D.

Rapid content production
Personalized content
Detailed, continuous feedback
Learner-driven exploration

In a world where only 7 percent of the global population has a college degree, and as many as three quarters of workers don’t feel equipped to learn the digital skills their employers will need in the future, this is the conversation people need to have.
…
Taken together, these trends will change the cost structure of education and give learning practitioners new superpowers. Learners of all backgrounds will be able to access quality content on any topic and receive the ongoing support they need to master new skills. Even small L&D teams will be able to create programs that have both deep and broad impact across their organizations.

The Next Evolution in Educational Technologies and Assisted Learning Enablement — from educationoneducation.substack.com by Jeannine Proctor

Excerpt:

Generative AI is set to play a pivotal role in the transformation of educational technologies and assisted learning. Its ability to personalize learning experiences, power intelligent tutoring systems, generate engaging content, facilitate collaboration, and assist in assessment and grading will significantly benefit both students and educators.

How Generative AI Will Enable Personalized Learning Experiences — from campustechnology.com by Rhea Kelly

Excerpt:

With today’s advancements in generative AI, that vision of personalized learning may not be far off from reality. We spoke with Dr. Kim Round, associate dean of the Western Governors University School of Education, about the potential of technologies like ChatGPT for learning, the need for AI literacy skills, why learning experience designers have a leg up on AI prompt engineering, and more. And get ready for more Star Trek references, because the parallels between AI and Sci Fi are futile to resist.

The Promise of Personalized Learning Never Delivered. Today’s AI Is Different — from the74million.org by John Bailey; with thanks to GSV for this resource

Excerpts:

There are four reasons why this generation of AI tools is likely to succeed where other technologies have failed:

1. Smarter capabilities
2. Reasoning engines
3. Language is the interface
4. Unprecedented scale

Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier — from blogs.nvidia.com by Aaron Lefohn
NVIDIA will present around 20 research papers at SIGGRAPH, the year’s most important computer graphics conference.

Excerpt:

NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical.

Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., Europe and Israel — are headed to SIGGRAPH 2023, the premier computer graphics conference, taking place Aug. 6-10 in Los Angeles.

The papers include generative AI models that turn text into personalized images; inverse rendering tools that transform still images into 3D objects; neural physics models that use AI to simulate complex 3D elements with stunning realism; and neural rendering models that unlock new capabilities for generating real-time, AI-powered visual details.

Also relevant to the item from Nvidia (above), see:

Unreal Engine’s Metahuman Creator — with thanks to Mr. Steven Chevalia for this resource

Excerpt:

MetaHuman is a complete framework that gives any creator the power to use highly realistic human characters in any way imaginable.

It includes MetaHuman Creator, a free cloud-based app that enables you to create fully rigged photorealistic digital humans in minutes.

Radar Trends to Watch: May 2023 Developments in Programming, Security, Web, and More [Loukides]

On 05/02/2023, in Amazon, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), computer science, Facebook / Meta Platforms, Google, Microsoft, NVIDIA, platforms, programming, tools, trends, vendors, Virtual Reality (VR) / worlds / learning, web design and production, XR - extended reality, by Daniel Christian

Radar Trends to Watch: May 2023 Developments in Programming, Security, Web, and More — from oreilly.com by Mike Loukides

Excerpt:

Large language models continue to colonize the technology landscape. They’ve broken out of the AI category, and now are showing up in security, programming, and even the web. That’s a natural progression, and not something we should be afraid of: they’re not coming for our jobs. But they are remaking the technology industry.

One part of this remaking is the proliferation of “small” large language models. We’ve noted the appearance of llama.cpp, Alpaca, Vicuna, Dolly 2.0, Koala, and a few others. But that’s just the tip of the iceberg. Small LLMs are appearing every day, and some will even run in a web browser. This trend promises to be even more important than the rise of the “large” LLMs, like GPT-4. Only a few organizations can build, train, and run the large LLMs. But almost anyone can train a small LLM that will run on a well-equipped laptop or desktop.

The 2023 Global Sentiment Survey — from donaldhtaylor.co.uk by Don Taylor

Excerpt:

This year’s Global Sentiment Survey – the tenth – paints a picture that is both familiar and unusual. In our 2020 survey report, we noted that ‘Data dominates this year’s survey’. It does so again this year, with the near 4,000 respondents showing a strong interest in AI, Skills-based talent management and Learning analytics (in positions #2, #3 and #4), all of which rely on data. The table is topped by Reskilling/upskilling, in the #1 spot for the third year running.
.

Donald Taylor's GSS 2023

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Also see Don’s report here >>

VR & robotics could be the future of medical training [Melnick]

On 04/01/2023, in Canada, collaboration, education technology, emerging technologies, experimentation, future, health, robotics, science, simulations, UK, United States, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, XR - extended reality, by Daniel Christian

VR & robotics could be the future of medical training — from vrscout.com by Kyle Melnick
FundamentalVR is partnering with Haply Robotics to provide more realistic VR surgical simulations.

VR & Robotics Could Be The Future Of Medical Training

Also relevant/see:

Major announcements from a key vendor in the AI space — NVIDIA

On 03/21/2023, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, art, Artificial Intelligence/Agents/LLMs/and Related, business, cloud-based computing / apps / other cloud-related, collaboration, content development, aggregation, repositories, corporate / business world, creativity, design, emerging technologies, engineering, entrepreneurship, Facebook / Meta Platforms, future, game-changing environment, generational differences, Holographic comms, human-computer interaction (HCI), immersion, innovation, intelligent systems, intelligent tutoring, IT in HE, languages and translation, media/film, Metaverse, multimedia, Natural Language Processing (NLP), new business models, NVIDIA, online media, pace of change, personalized/customized learning, platforms, society, technology (general), tools, United States, user experience (UX), vendors, Virtual courts and law firms, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, visualizing information, web-based collaboration, Web3, workplace, by Daniel Christian

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at GTC — from nvidia.com
The Conference for the Era of AI and the Metaverse

Addendums on 3/22/23:

Generative AI for Enterprises — from nvidia.com
Custom-built for a new era of innovation and automation.

Excerpt:

Impacting virtually every industry, generative AI unlocks a new frontier of opportunities—for knowledge and creative workers—to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications.

NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud—the AI supercomputer.

“Before ChatGPT and After GPT” [Makadia] + other AI and ChatGPT-related items

On 02/28/2023, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, future, health, Natural Language Processing (NLP), tools, usability, user experience (UX), Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, XR - extended reality, by Daniel Christian

Before ChatGPT ??

Research:
Read articles from multiple sites.

Marketing:
Read articles from multiple sites.

Copywriting:
Read articles from multiple sites.

After ChatGPT ??

Do Anything:
Ask the right prompts [ The most valuable skill in 2023 ]

— Harsh Makadia (@MakadiaHarsh) February 23, 2023

9 ways ChatGPT will help CIOs — from enterprisersproject.com by Katie Sanders
What are the potential benefits of this popular tool? Experts share how it can help CIOs be more efficient and bring competitive differentiation to their organizations.

Excerpt:

Don’t assume this new technology will replace your job. As Mark Lambert, a senior consultant at netlogx, says, “CIOs shouldn’t view ChatGPT as a replacement for humans but as a new and exciting tool that their IT teams can utilize. From troubleshooting IT issues to creating content for the company’s knowledge base, artificial intelligence can help teams operate more efficiently and effectively.”

ChatGPT has limits.

But there are tools that doesn’t have.

Here’re 8 AI tools you should know about in 2023:

Via lhtesham Haider

— Steve Nouri (@SteveNouri) February 24, 2023

Would you let ChatGPT control your smart home? — from theverge.com by

While the promise of an inherently competent, eminently intuitive voice assistant — a flawless butler for your home — is very appealing, I fear the reality could be more Space Odyssey than Downton Abbey. But let’s see if I’m proven wrong.

How ChatGPT Is Being Used To Enhance VR Training — from vrscout.com by Kyle Melnick

Excerpt:

The company claims that its VR training program can be used to prepare users for a wide variety of challenging scenarios, whether you’re a recent college graduate preparing for a difficult job interview or a manager simulating a particularly tough performance review. Users can customize their experiences depending on their role and receive real-time feedback based on their interactions with the AI.

From DSC:
Below are some example topics/articles involving healthcare and AI.

Role of AI in Healthcare — from doctorsexplain.media
The role of Artificial Intelligence (AI) in healthcare is becoming increasingly important as technology advances. AI has the potential to revolutionize the healthcare industry, from diagnosis and treatment to patient care and management. AI can help healthcare providers make more accurate diagnoses, reduce costs, and improve patient outcomes.

60% of patients uncomfortable with AI in healthcare settings, survey finds — from healthcaredive.com by Hailey Mensik

Dive Brief:

About six in 10 U.S. adults said they would feel uncomfortable if their provider used artificial intelligence tools to diagnose them and recommend treatments in a care setting, according to a survey from the Pew Research Center.
Some 38% of respondents said using AI in healthcare settings would lead to better health outcomes while 33% said it would make them worse, and 27% said it wouldn’t make much of a difference, the survey found.
Ultimately, men, younger people and those with higher education levels were the most open to their providers using AI.

The Rise of the Superclinician – How Voice AI Can Improve the Employee Experience in Healthcare — from medcitynews.com by Tomer Garzberg
Voice AI is the new frontier in healthcare. With its constantly evolving landscape, the healthcare […]

Excerpt:

Voice AI can generate up to 30% higher clinician productivity, by automating these healthcare use cases

Updating records
Provider duress
Platform orchestration
Shift management
Client data handoff
Home healthcare
Maintenance
Equipment ordering
Meal preferences
Case data queries
Patient schedules
Symptom logging
Treatment room setup
Patient condition education
Patient support recommendations
Medication advice
Incident management
… and many more

ChatGPT is poised to upend medical information. For better and worse. — from usatoday.com by Karen Weintraub

Excerpt:

But – and it’s a big “but” – the information these digital assistants provide might be more inaccurate and misleading than basic internet searches.

“I see no potential for it in medicine,” said Emily Bender, a linguistics professor at the University of Washington. By their very design, these large-language technologies are inappropriate sources of medical information, she said.

Others argue that large language models could supplement, though not replace, primary care.

“A human in the loop is still very much needed,” said Katie Link, a machine learning engineer at Hugging Face, a company that develops collaborative machine learning tools.

Link, who specializes in health care and biomedicine, thinks chatbots will be useful in medicine someday, but it isn’t yet ready.

What will be hot in workplace L&D in 2023? The results are in for the L&D Global Sentiment Survey 2023 [Taylor]

On 02/13/2023, in Africa, analytics, Artificial Intelligence/Agents/LLMs/and Related, Asia, Augmented Reality (AR), Australia, Canada, collaboration, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, data related items, digital learning, elearning, Europe, global / globalization, India, instructional design, learning, learning ecosystem, Learning Experience Design, Metaverse, microlearning, mobile learning, personalized/customized learning, skills, UK, United States, Virtual Reality (VR) / worlds / learning, workplace, XR - extended reality, by Daniel Christian

Here’s the link to Don Taylor’s posting on Linked in (also shown below).

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Top 6 VR learning trends in 2023 [Anders Gronstedt out at chieflearningofficer.com]

On 02/03/2023, in emerging technologies, engagement / engaging students, engineering, marketing/social marketing, Mixed Reality (MR), platforms, simulations, skills, tools, training / L&D, trends, vendors, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

Top 6 VR learning trends in 2023 — from chieflearningofficer.com by Anders Gronstedt

Excerpt:

From virtual to mixed reality
A new class of “mixed reality” headsets will launch in 2023, promising to break the barriers between the real and virtual worlds. Meta launched a developer version of this technology a few months ago called “Quest Pro,” which superimposes computer-generated images into the real world around us. The mass-market version of this headset, Quest 3, will hit the shelves this fall for $400. Meanwhile, Apple is rumored to finally premiere a more premium mixed reality headset this spring. This can be an important step toward a vision of true augmented reality glasses that is still years away.

The new year will see the mainstream adoption of VR for safety, equipment operations and service, logistics, manufacturing, emergency response and health care training. Other applications will take several more years to mature. Current XR technology is not ripe for soft skills training, IT systems training, conferences and all-purpose collaboration (Meta can’t even get its own employees to hold regular meetings in VR). Procedural hands-on training simulations will be the edge of the new frontier of XR learning in the new year.

Some example components of a learning ecosystem [Christian]

On 01/20/2023, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), blended learning, blogs / blogging / vlogging, bots, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital textbooks, digital video, e-books, e-publishing related items (EPUB and more), education technology, educational games / serious games, elearning, face-to-face, faculty/staff, heutagogy, higher education, human-computer interaction (HCI), hybrid learning, Hyflex learning, informal learning, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, online learning, online media, online tutoring, open courseware and systems, parents/guardians, pedagogy, personalized/customized learning, platforms, play, podcasting, professional development, social learning / networks, social media, society, streams of content, student-related, teachers, teaching & learning, technology (general), tools, training / L&D, universities, videoconferencing, Virtual Reality (VR) / worlds / learning, vocational / trades, webinars, by Daniel Christian

A learning ecosystem is composed of people, tools, technologies, content, processes, culture, strategies, and any other resource that helps one learn. Learning ecosystems can be at an individual level as well as at an organizational level.

Some example components:

Subject Matter Experts (SMEs) such as faculty, staff, teachers, trainers, parents, coaches, directors, and others
Fellow employees
L&D/Training professionals
Managers
Instructional Designers
Librarians
Consultants
Types of learning
- Active learning
- Adult learning
- PreK-12 education
- Training/corporate learning
- Vocational learning
- Experiential learning
- Competency-based learning
- Self-directed learning (i.e., heutagogy)
- Mobile learning
- Online learning
- Face-to-face-based learning
- Hybrid/blended learning
- Hyflex-based learning
- Game-based learning
- XR-based learning (AR, MR, and VR)
- Informal learning
- Formal learning
- Lifelong learning
- Microlearning
- Personalized/customized learning
- Play-based learning
Cloud-based learning apps
Coaching & mentoring
Peer feedback
Job aids/performance tools and other on-demand content
Websites
Conferences
Professional development
Professional organizations
Social networking
Social media – Twitter, LinkedIn, Facebook/Meta, other
Communities of practice
Artificial Intelligence (AI) — including ChatGPT, learning agents, learner profiles,
LMS/CMS/Learning Experience Platforms
Tutorials
Videos — including on YouTube, Vimeo, other
Job-aids
E-learning-based resources
Books, digital textbooks, journals, and manuals
Enterprise social networks/tools
RSS feeds and blogging
Podcasts/vodcasts
Videoconferencing/audio-conferencing/virtual meetings
Capturing and sharing content
Tagging/rating/curating content
Decision support tools
Getting feedback
Webinars
In-person workshops
Discussion boards/forums
Chat/IM
VOIP
Online-based resources (periodicals, journals, magazines, newspapers, and others)
Learning spaces
Learning hubs
Learning preferences
Learning theories
Microschools
MOOCs
Open courseware
Portals
Wikis
Wikipedia
Slideshare
TED talks
…and many more components.

These people, tools, technologies, etc. are constantly morphing — as well as coming and going in and out of our lives.

Top edtech trends in 2023 and the ASU example — from news.asu.edu

Excerpt:

In spite of our tendency to break things down into tidy time frames, like a new year or academic semester, change constantly turns over the status quo. Especially in the world of technology, where disruptive innovation may evolve rapidly from the fringe to the mainstream.

“At ASU’s Enterprise Technology, we work in spaces where technology is not just revolutionizing higher education, but the world at large,” said Lev Gonick, chief information officer at Arizona State University. “We strive to be proactive, not reactive, to new paradigms changing the ways in which we work, learn and thrive.”

As referenced by the above article:

Technology Trends in Higher Education 2023 — from fierceeducation.com

Thus, the top higher education technology trends to watch out for in 2023 include Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), Digital Twins, the Metaverse (including digital avatars and NFT art for use in the Metaverse and other Web3-based virtual environments), Internet of Things (IoT), Blockchain, Cloud, Gamification, and Chatbots. These technologies will support the expansion of the Digital Transformation of higher education going forward.

Also relevant/see:

Virtual Reality: Trends in Higher Ed for 2023 and Beyond — from fierceeducation.com by Susan Fourtané

DC: What if there was a “remote learning channel” for every college/university classroom? A remote learner would have to pay a small flat fee to audit or drop into the class.

— Daniel Christian (he/him/his) (@dchristian5) December 31, 2022

From DSC:
Perhaps such a network type of setup could provide audio-visual-based links that people could provide to one another.

From DSC:
Our son recently took a 3-day intensive course on the Business of Acting. It was offered by the folks at “My College Audition” — and importantly, the course was not offered by the university where he is currently working on a BFA in Acting. By the way, aspiring performing arts students may find this site very beneficial/helpful as well. (Example blog posting here.)

The course was actually three hours of learning on a Sunday night, a Monday night, and a Tuesday night from 6-9pm.

He learned things that he mentioned have not been taught in his undergrad program (at least not so far). When I asked him what he liked most about the course, he said:

These people are out there doing this (DSC insert: To me, this sounds like the use of adjunct faculty in higher ed)
There were 9 speakers in the 9 hours of classtime
They relayed plenty of resources that were very helpful and practical. He’s looking forward to pursuing these leads further.

He didn’t like that there were no discussion avenues/forums available. And as a paying parent, I didn’t like that we had to pay for yet another course and content that he wasn’t getting at his university. It may be that the university that he’s studying at will offer such a course later in the curriculum. But after two years of college experience, he hasn’t come across anything this practical and he is eagerly seeking out this type of practical/future-focused information. In fact, it’s critical to him staying with acting…or not. He needs this information sooner in his program.

It made me reflect on the place of adjunct faculty within higher education — folks who are out there “doing” what they are teaching about. They tend to be more up-to-date in their real-world knowledge. Sabbaticals are helpful in this regard for full-time faculty, but they don’t come around nearly enough to keep one’s practical, career-oriented knowledgebase up-to-date.

Again, this dilemma is to be expected, given our current higher education learning ecosystem. Faculties’ plates are full. They don’t have time to pursue this kind of endeavor in addition to their daily responsibilities. Staff aren’t able to be out there “doing” these things either.

This brings me back to design thinking. We’ve got to come up with better ways of offering student-centered education, programming, and content/resources.

My son walked away shaking his head a bit regarding his current university. At a time when students and families are questioning the return on their investments in traditional institutions of higher education, this issue needs to be taken very seriously.

Also potentially relevant for some of the performing arts students out there:

Voice Acting & Character Voices for Video Games & Animations — from udemy.com
Develop New Character Voices and Discover the Voice Acting Secrets of 10 Successful Voice Actors from Around The World!

From DSC:
Check this confluence of emerging technologies out!

Natural language interfaces have truly arrived. Here’s ChatARKit: an open source demo using #chatgpt to create experiences in #arkit. How does it work? Read on. (1/) pic.twitter.com/R2pYKS5RBq

— Bart Trzynadlowski (@BartronPolygon) December 21, 2022

Also see:

The Future of Education Using AR

via @gigadgets_ #AR #AugmentedReality #MR #mixedreality #ai #technology #vr #virtualreality #innovation #edtech #tech #future #medtech #healthtech #education #iot #teacher #classroom #mi #futurism #digitalasset #edutech pic.twitter.com/ZOP0l2kkoR

— Fred Steube (@steube) December 23, 2022

How to spot AI-generated text — from technologyreview.com by Melissa Heikkilä
The internet is increasingly awash with text written by AI software. We need new tools to detect it.

Excerpt:

This sentence was written by an AI—or was it? OpenAI’s new chatbot, ChatGPT, presents us with a problem: How will we know whether what we read online is written by a human or a machine?
…
“If you have enough text, a really easy cue is the word ‘the’ occurs too many times,” says Daphne Ippolito, a senior research scientist at Google Brain, the company’s research unit for deep learning.
…
“A typo in the text is actually a really good indicator that it was human-written,” she adds.

7 Best Tech Developments of 2022 — from /thetechranch.comby

Excerpt:

As we near the end of 2022, it’s a great time to look back at some of the top technologies that have emerged this year. From AI and virtual reality to renewable energy and biotechnology, there have been a number of exciting developments that have the potential to shape the future in a big way. Here are some of the top technologies that have emerged in 2022:

Looking to 2023 and beyond — various postings/resources re: potential futures

On 12/22/2022, in 5G, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), bots, business, change, cloud-based computing / apps / other cloud-related, corporate / business world, data related items, education, emerging technologies, entrepreneurship, Europe, experimentation, future, game-changing environment, global / globalization, health, innovation, intelligent systems, internet, IT in HE, Metaverse, Mixed Reality (MR), Natural Language Processing (NLP), NVIDIA, robotics, technology (general), telemedicine / telehealth / virtual health, trends, United States, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, workplace, XR - extended reality, by Daniel Christian

How AI And 5G Could Lead The Next Phase Of The Industrial Revolution — from swisscognitive.ch

Some use cases of the convergence of AI and 5G are:

Metaverse: AI is a key technology that helps bring Metaverse to life and now with the addition of 5G, streaming experiences would become enjoyable and maintaining connectivity without any disruption of external factors like geographical locations would be eliminated.
Digital assistants in the form of chatbots and virtual avatars: Digital assistants today use AI to replicate the human brain and converse with people in human language by understanding intent. With 5G the speed at which the speech is converted to text will improve drastically.
Education: AI and 5G are helping bring education to students’ doorstep through virtual reality and is making this available, efficiently as in real-world classrooms. Solving queries is possible quickly without any restrictions. Betty in Archie Comics attending her classes virtually is a reality due to these technologies.
Healthcare: AI and 5G in healthcare are proliferating an accurate diagnosis of diseases, real-time monitoring, and quick treatment facilities. This has become possible with the right use of data- collection, transmission, and analysis.
Automotive: AI and 5G together is making vehicles smarter and reducing the risk of mishaps on roads by employing various data-powered safety and driving efficiency measures in vehicles.

AI Timelines: What Do Experts in Artificial Intelligence Expect for the Future? — from singularityhub.com by Dr. Max Roser

Excerpt:

What I do take away from these surveys however, is that the majority of AI experts take the prospect of very powerful AI technology seriously. It is not the case that AI researchers dismiss extremely powerful AI as mere fantasy.

The huge majority thinks that in the coming decades there is an even chance that we will see AI technology which will have a transformative impact on our world. While some have long timelines, many think it is possible that we have very little time before these technologies arrive. Across the three surveys more than half think that there is a 50% chance that a human-level AI would be developed before some point in the 2060s, a time well within the lifetime of today’s young people.

Future Of Health: Top Five Digital Health Innovations For 2023 — from forbes.com by Anita Gupta

Excerpts:

Connected Digital Care
AI In Healthcare
Real-World Patient Engagement In Healthcare
Increase Security For Digital And Health Data
Improving Telehealth Services

Looking ahead to 2023: AI, machine learning, RTLS and robotic process automation — from healthcareitnews.com by Bill Siwicki
These advanced technologies will do more to help provider organizations with workflow optimization, staff shortages and the patient experience in the year ahead, one expert predicts.

Three reasons why NLP will go mainstream in healthcare in 2023 — from healthcareitnews.com by Bill Siwicki
A natural language processing expert explains why he feels the technology’s kinks have been ironed out, its ROI has been proven and the timing is right for healthcare to take advantage of information-extraction tools.

13 tech predictions for 2023 — from enterprisersproject.com by Katie Sanders
What can you expect in the world of IT next year? Business and IT leaders share their thoughts

Analysts Predictions About AI In 2023 — from forbes.com by Gil Press

Excerpts:

Automated software development
Automated content and commerce
Enterprise governance, risk, sustainability and security
Consumer interactions and experiences

Top 5 Edge AI Trends to Watch in 2023 — from nvidia.com by Amanda Saunders

Excerpt:

Until now, AI has operated almost exclusively in the cloud. But increasingly diverse streams of data are being generated around the clock from sensors at the edge. These require real-time inference, which is leading more AI deployments to move to edge computing.

For airports, stores, hospitals and more, AI brings advanced efficiency, automation and even cost reduction, which is why edge AI adoption accelerated last year.

In 2023, expect to see a similarly challenging environment, which will drive the following edge AI trends.

Digital transformation: 5 trends to watch in 2023 — from enterprisersproject.com by Ritish Reddy
As enterprises continue to digitally transform, IT leaders must look toward the future. Expect to see these trends in 2023

The talent needed to adopt mobile AR in industry — from chieflearningofficer.com by Yao Huang Ph.D.

Excerpt:

Therefore, when adopting mobile AR to improve job performance, L&D professionals need to shift their mindset from offering training with AR alone to offering performance support with AR in the middle of the workflow.

The learning director from a supply chain industry pointed out that “70 percent of the information needed to build performance support systems already exists. The problem is it is all over the place and is available on different systems.”

It is the learning and development professional’s job to design a solution with the capability of the technology and present it in a way that most benefits the end users.

All participants revealed that mobile AR adoption in L&D is still new, but growing rapidly. L&D professionals face many opportunities and challenges. Understanding the benefits, challenges and opportunities of mobile AR used in the workplace is imperative.

A brief insert from DSC:
Augmented Reality (AR) is about to hit the mainstream in the next 1-3 years. It will connect the physical world with the digital world in powerful, helpful ways (and likely in negative ways as well). I think it will be far bigger and more commonly used than Virtual Reality (VR). (By the way, I’m also including Mixed Reality (MR) within the greater AR domain.) With Artificial Intelligence (AI) making strides in object recognition, AR could be huge.

Learning & Development groups should ask for funding soon — or develop proposals for future funding as the new hardware and software products mature — in order to upskill at least some members of their groups in the near future.

As within Teaching & Learning Centers within higher education, L&D groups need to practice what they preach — and be sure to train their own people as well.

Learning Ecosystems

VR & robotics could be the future of medical training [Melnick]

Top 6 VR learning trends in 2023 [Anders Gronstedt out at chieflearningofficer.com]

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