Artificial Intelligence/Agents/LLMs/and Related

AI plus human intelligence is the future of work — from forbes.com by Jeanne Meister

Excerpts:

1 in 5 workers will have AI as their co worker in 2022
More job roles will change than will be become totally automated so HR needs to prepare today

…
As we increase our personal usage of chatbots (defined as software which provides an automated, yet personalized, conversation between itself and human users), employees will soon interact with them in the workplace as well. Forward looking HR leaders are piloting chatbots now to transform HR, and, in the process, re-imagine, re-invent, and re-tool the employee experience.

How does all of this impact HR in your organization? The following ten HR trends will matter most as AI enters the workplace…

…

The most visible aspect of how HR is being impacted by artificial intelligence is the change in the way companies source and recruit new hires. Most notably, IBM has created a suite of tools that use machine learning to help candidates personalize their job search experience based on the engagement they have with Watson. In addition, Watson is helping recruiters prioritize jobs more efficiently, find talent faster, and match candidates more effectively. According to Amber Grewal, Vice President, Global Talent Acquisition, “Recruiters are focusing more on identifying the most critical jobs in the business and on utilizing data to assist in talent sourcing.”

…as we enter 2018, the next journey for HR leaders will be to leverage artificial intelligence combined with human intelligence and create a more personalized employee experience.

From DSC:
Although I like the possibility of using machine learning to help employees navigate their careers, I have some very real concerns when we talk about using AI for talent acquisition. At this point in time, I would much rather have an experienced human being — one with a solid background in HR — reviewing my resume to see if they believe that there’s a fit for the job and/or determine whether my skills transfer over from a different position/arena or not. I don’t think we’re there yet in terms of developing effective/comprehensive enough algorithms. It may happen, but I’m very skeptical in the meantime. I don’t want to be filtered out just because I didn’t use the right keywords enough times or I used a slightly different keyword than what the algorithm was looking for.

Also, there is definitely age discrimination occurring out in today’s workplace, especially in tech-related positions. Folks who are in tech over the age of 30-35 — don’t lose your job! (Go check out the topic of age discrimination on LinkedIn and similar sites, and you’ll find many postings on this topic — sometimes with 10’s of thousands of older employees adding comments/likes to a posting). Although I doubt that any company would allow applicants or the public to see their internally-used algorithms, how difficult would it be to filter out applicants who graduated college prior to ___ (i.e., some year that gets updated on an annual basis)? Answer? Not difficult at all. In fact, that’s at the level of a Programming 101 course.

Artificial intelligence is going to supercharge surveillance – from theverge.com by James Vincent
What happens when digital eyes get the brains to match?

From DSC:
“Persons of interest” comes to mind after reading this article. Persons of interest is a clever, well done show, but still…the idea of combining surveillance w/ a super intelligent #AI is a bit unnerving.

Artificial intelligence | 2018 AI predictions — from thomsonreuters.com

Excerpts:

AI brings a new set of rules to knowledge work
Newsrooms embrace AI
Lawyers assess the risks of not using AI
Deep learning goes mainstream
Smart cars demand even smarter humans
Accountants audit forward
Wealth managers look to AI to compete and grow

Chatbots and Virtual Assistants in L&D: 4 Use Cases to Pilot in 2018 — from bottomlineperformance.com by Steven Boller

Excerpt:

Use a virtual assistant like Amazon Alexa or Google Assistant to answer spoken questions from on-the-go learners.
Answer common learner questions in a chat window or via SMS.
Customize a learning path based on learners’ demographic information.
Use a chatbot to assess learner knowledge.

Suncorp looks to augmented reality for insurance claims — from itnews.com.au by Ry Crozier with thanks to Woontack Woo for this resource

Excerpts:

Suncorp has revealed it is exploring image recognition and augmented reality-based enhancements for its insurance claims process, adding to the AI systems it deployed last year.

The insurer began testing IBM Watson software last June to automatically determine who is at fault in a vehicle accident.
…
“We are working on increasing our use of emerging technologies to assist with the insurance claim process, such as using image recognition to assess type and extent of damage, augmented reality that would enable an off-site claims assessor to discuss and assess damage, speech recognition, and obtaining telematic data from increasingly automated vehicles,” the company said.

6 important AI technologies to look out for in 2018 — from itproportal.com by Olga Egorsheva
Will businesses and individuals finally make AI a part of their daily lives?

Every study we could find on what automation will do to jobs, in one chart — from technologyreview.com by Erin Winick
There are about as many opinions as there are experts.

The AI glossary: 5 artificial intelligence terms you need to know [Nield]

On 01/24/2018, in Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, by Daniel Christian

The AI glossary: 5 artificial intelligence terms you need to know — from techradar.com by David Nield

Excerpt:

Algorithms
Ah, the famous (or infamous) algorithm. Algorithms are sets of rules that computer programs can follow, so if one of your best friends posts a photo of you on Facebook, then the rules say that should go up at the top of your News Feed. Or if you need to get from A to B on Google Maps, an algorithm can help you work out the fastest route.

The rules are followed by computers but usually set by humans – so it’s the Facebook engineers who choose what makes a story important or which roads are fastest. Where AI starts to come in is in tweaking these algorithms using machine learning, so programs begin to adapt these rules for themselves. Google Maps might do this if it starts getting feedback data that a particular road is shut.

When image recognition systems get it wrong, for example, that’s an example of an algorithm or set of rules at work – the same rules have been applied but the wrong result has been reached, so you get a cat-like dog rather than an actual cat. In many ways, algorithms are the building blocks of machine learning.

Deep learning
Deep learning is a type or a subset of machine learning, which is why the two terms often get jumbled up, and can correctly be used to describe the same AI in a lot of cases. It’s machine learning but designed to be even more intelligent, with more nuance and more layers, and intended to work more like the human brain does.

Deep learning has been made possible by two key technological advances: more data and more powerful hardware. That’s why it’s only recently come into fashion, though its original roots go back decades. If you think about it as machine learning turned up to 11, you can understand why it’s getting smarter as computers get more powerful.

Deep learning often makes use of neural networks to add this extra layer of intelligence. For example, both deep learning and machine learning can recognize a cat in a picture by scanning a million cat images – but whereas machine learning needs to be told what features make up a cat, deep learning can work out what a cat looks like for itself, as long as there’s enough raw data to work from.

Not exponential change!? Better think again. Per “4,000 sr decision makers across the world, 45% say they are concerned about becoming obsolete in just 3-5 yrs”

On 01/23/2018, in 21st century, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), career development, change, changing business models, cloud-based computing / apps / other cloud-related, Daniel S. Christian, education technology, emerging technologies, entrepreneurship, future, game-changing environment, generational differences, learning, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, machine-to-machine communications, mobile technologies, pace of change, personalized/customized learning, platforms, professional development, reinvent, robotics, society, staying relevant, streams of content, surviving, technologies for your home, tools, training / L&D, trends, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, workplace, youth, by Daniel Christian

The next era of human|machine partnerships
From delltechnologies.com by the Institute for the Future and Dell Technologies

From DSC:
Though this outlook report paints a rosier picture than I think we will actually encounter, there are several interesting perspectives in this report. We need to be peering out into the future to see which trends and scenarios are most likely to occur…then plan accordingly. With that in mind, I’ve captured a few of the thoughts below.

At its inception, very few people anticipated the pace at which the internet would spread across the world, or the impact it would have in remaking business and culture. And yet, as journalist Oliver Burkeman wrote in 2009, “Without most of us quite noticing when it happened, the web went from being a strange new curiosity to a background condition of everyday life.”1

In Dell’s Digital Transformation Index study, with 4,000 senior decision makers across the world, 45% say they are concerned about becoming obsolete in just 3-5 years, nearly half don’t know what their industry will look like in just three years’ time, and 73% believe they need to be more ‘digital’ to succeed in the future.

With this in mind, we set out with 20 experts to explore how various social and technological drivers will influence the next decade and, specifically, how emerging technologies will recast our society and the way we conduct business by the year 2030. As a result, this outlook report concludes that, over the next decade, emerging technologies will underpin the formation of new human-machine partnerships that make the most of their respective complementary strengths. These partnerships will enhance daily activities around the coordination of resources and in-the-moment learning, which will reset expectations for work and require corporate structures to adapt to the expanding capabilities of human-machine teams.

…
For the purpose of this study, IFTF explored the impact that Robotics, Artificial Intelligence (AI) and Machine Learning, Virtual Reality (VR) and Augmented Reality (AR), and Cloud Computing, will have on society by 2030. These technologies, enabled by significant advances in software, will underpin the formation of new human-machine partnerships.
…
On-demand access to AR learning resources will reset expectations and practices around workplace training and retraining, and real-time decision-making will be bolstered by easy access to information flows. VR-enabled simulation will immerse people in alternative scenarios, increasing empathy for others and preparation for future situations. It will empower the internet of experience by blending physical and virtual worlds.

Already, the number of digital platforms that are being used to orchestrate either physical or human resources has surpassed 1,800.9 They are not only connecting people in need of a ride with drivers, or vacationers with a place to stay, but job searchers with work, and vulnerable populations with critical services. The popularity of the services they offer is introducing society to the capabilities of coordinating technologies and resetting expectations about the ownership of fixed assets.

Human-machine partnerships won’t spell the end of human jobs, but work will be vastly different.
…
The U.S. Bureau of Labor Statistics says that today’s learners will have 8 to 10 jobs by the time they are 38. Many of them will join the workforce of freelancers. Already 50 million strong, freelancers are projected to make up 50% of the workforce in the United States by 2020.12 Most freelancers will not be able to rely on traditional HR departments, onboarding processes, and many of the other affordances of institutional work.

By 2030, in-the-moment learning will become the modus operandi, and the ability to gain new knowledge will be valued higher than the knowledge people already have.

Amazon’s Cashier-Less Seattle Grocery Opens To The Public [Neuman]

On 01/22/2018, in 21st century, Amazon, Artificial Intelligence/Agents/LLMs/and Related, business, emerging technologies, experimentation, ideas, innovation, marketplaces, workplace, by Daniel Christian

Amazon’s Cashier-Less Seattle Grocery Opens To The Public — from npr.org by Scott Neuman

Excerpt:

Amazon on Monday [opened] its automated grocery in Seattle to the public, replacing cashiers with a smartphone app and hundreds of small cameras that track purchases. For the past year, the 1,800-square foot mini-mart has been open to the company’s employees. There is no waiting in line for check out at Amazon Go, as the store is called — instead, its computerized system charges customers’ Amazon account as they exit the store.
…
Amazon has dubbed the technology “Just Walk Out” and, according to CNBC, “it uses computer vision, deep learning algorithms and sensor fusion — many of the same advances being used to develop autonomous driving.”

Amazon’s automated grocery store [launched] Monday after a year of false starts — from cnbc.com by Deirdre Bosa

After nearly a year’s delay, Amazon Go is finally opening to the public on Monday morning.
It’s Amazon’s first automated grocery store that promises, “no lines, no checkouts, no registers” – and could be a game-changer for the grocery and retail industry
For now, Amazon is testing the concept on a limited basis and has no plans to implement the technology in Whole Foods.

“Rise of the machines” — from January 2018 edition of InAVate magazine
AI is generating lots of buzz in other verticals, but what can AV learn from those? Tim Kridel reports.

From DSC:
Learning spaces are relevant as well in the discussion of AI and AV-related items.

Also in their January 2018 edition, see
an incredibly detailed project at the London Business School.

Excerpt:

A full-width frosted glass panel sits on the desk surface, above it fixed in the ceiling is a Wolfvision VZ-C12 visualiser. This means the teaching staff can write on the (wipeclean) surface and the text appears directly on two 94-in screens behind them, using Christie short-throw laser 4,000 lumens projectors. When the lecturer is finished or has filled up the screen with text, the image can be saved on the intranet or via USB. Simply wipe with a cloth and start again. Not only is the technology inventive, but it allows the teaching staff to remain in face-to-face contact with the students at all times, instead of students having to stare at the back of the lecturer’s head whilst they write.

Also relevant, see:

HARMAN and IBM Watson IoT Introduce Cognitive Rooms that Bring Connected Experiences to Enterprise Settings

Workplace learning trends 2018 — from elearninglearning.com

Excerpt:

The beginning of a year is a great time to take stock of the year gone by and plan for the year ahead. In this blog post, we will have a quick glimpse of what we believe would be some of the key trends in workplace learning this year.

Also see:

Learning Experience Design Trends For 2018 — from elearninglearning.com. & theelearningcoach.com by Connie Malamed
8 Ways Things are Changing for Practitioners

Here are the trends I’ve been seeing, reading and hearing about.

Integrating Learning with Work
From Instructional Designer to Learning Experience Designer
ADDIE Who?
Embracing Design Thinking
Increased Awareness of Universal Design
Working Out Loud Circles
Seeing the Value in Metrics
Openness to All Types of Learning Experiences

“Freedom 2.0 – Blockchain’s biggest use case” plus 4 other items re: blockchain

On 01/06/2018, in Artificial Intelligence/Agents/LLMs/and Related, Blockchain, change, emerging technologies, experimentation, ideas, innovation, legislatures / government / legal, marketplaces, society, workplace, by Daniel Christian

FREEDOM 2.0 – Blockchain’s Biggest Use Case with Richie Etwaru @richieetwaru — with thanks to Mike Mathews for his posting this on LinkedIn

Description:

While the Internet has profoundly impacted global society, new questions must be asked. When the human species reflects on the Internet in 2081 a hundred years after its invention will the Internet be viewed as good for our species, and has the impact of the set of adjacent inventions of the Internet furthered the triumph of the human species? Did we connect the last billion with mobility, did we distribute wealth meaningfully, and was basic healthcare democratized? Or, did social media coupled with mobile cameras create a spike in vanity that affected important social constructs such as love, self-esteem and family? Did AI create a new class system of robo sapiens that constrict freedom? And did we change the core of commerce of trust between citizens, communities and governments? Maybe; the Internet is only 49% of the story of our species, and the remaining 51% of our story is still unfolding. Richie will discuss the other 51% which he believes is blockchain, and how we can change the answers to some of these new types of questions of mankind.

Blockchain has a great potential for innovation. Some potential domains, where Blockchain can be successfully applied.https://t.co/LXQOEIzYLm #Blockchain #Cryptocurrency #Decentralization #Bigdata #Smartdata #Smartcontracts #Fintech #MedTech #IoT #Voting #Democratization #AI pic.twitter.com/Ne9k91blD3

— David Holm (@cloudpreacher) January 5, 2018

The Advantages of Blockchain Technology — from hortonworks.com by Ryan Wheeler

Excerpt:

Blockchain ensures data objectivity—a single source of truth. Blockchain also represents a security layer that ensures that data is encrypted in such a way that only the people you want to can read your data. It makes it next to impossible for people to corrupt or manipulate the data—or even gain wrongful access to it—because the system raises an instant red flag when a problem occurs, and it uses a new, advanced encryption method to secure the data.

Blockchain is both reactionary—alerting users to changes—and proactive, by preventing the security threat. And even if the data is somehow breached, it still can’t be used. The effects have already been seen in the healthcare industry, where technologies using blockchain have provided the proper balance of security and governance for people’s health data.

From DSC:
Interesting to see this new platform developing, one that combines 2 big trends — blockchain and freelancing:

Also interesting to see:

“Peculium: The first savings system in cryptocurrency utilizing AIEVE and Blockchain Technology with artificial intelligence. PECULIUM revolutionizes savings management by deploying immutable Smart-Contracts over Ethereum blockchain.”

Addendum/also see:

The Blockchain Revolution and Higher Education — from er.educause.edu by Don Tapscott and Alex Tapscott

The blockchain provides a rich, secure, and transparent platform on which to create a global network for higher learning. This Internet of value can help to reinvent higher education in a way the Internet of information alone could not.

The legal and ethical minefield of AI: ‘Tech has the power to do harm as well as good’ [Goodman]

On 01/05/2018, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, change, ethics, ideas, legislatures / government / legal, morals/values, society, the downsides of how people use tech, tools, trends, by Daniel Christian

The legal and ethical minefield of AI: ‘Tech has the power to do harm as well as good’ — from theguardian.com by Joanna Goodman

Excerpt:

Artificial intelligence and machine learning tools are already embedded in our lives, but how should businesses that use such technology manage the associated risks?

As artificial intelligence (AI) penetrates deeper into business operations and services, even supporting judicial decision-making, are we approaching a time when the greatest legal mind could be a machine? According to Prof Dame Wendy Hall, co-author of the report Growing the Artificial Intelligence Industry in the UK, we are just at the beginning of the AI journey and now is the time to set boundaries.

“All tech has the power to do harm as well as good,” Hall says. “So we have to look at regulating companies and deciding what they can and cannot do with the data now.”

AI and robotics professor Noel Sharkey highlights the “legal and moral implications of entrusting human decisions to algorithms that we cannot fully understand”. He explains that the narrow AI systems that businesses currently use (to draw inferences from large volumes of data) apply algorithms that learn from experience and feed back to real-time and historical data. But these systems are far from perfect.

Potential results include flawed outcomes or reasoning, but difficulties also arise from the lack of transparency. This supports Hall’s call for supervision and regulation. Businesses that use AI in their operations need to manage the ethical and legal risks, and the legal profession will have a major role to play in assessing and apportioning risk, responsibility and accountability.

Also see:

Computer says no: why making AIs fair, accountable and transparent is crucial — from the guardian.com by Ian Sample

Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech

On 01/02/2018, in 21st century, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, bots, career development, cloud-based computing / apps / other cloud-related, computer science, data related items, ethics, legislatures / government / legal, morals/values, robotics, technology (general), Virtual Reality (VR) / worlds / learning, by Daniel Christian

Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech — from computer.org

Excerpts:

The top 10 technology trends predicted to reach adoption in 2018 are:

Deep learning (DL)
Digital currencies.
Blockchain.
Industrial IoT.
Robotics.
Assisted transportation.
Assisted reality and virtual reality (AR/VR).
Ethics, laws, and policies for privacy, security, and liability.
Accelerators and 3D.
Cybersecurity and AI.

Existing Technologies: We did not include the following technologies in our top 10 list as we assume that they have already experienced broad adoption:

A. Data science
B. “Cloudification”
C. Smart cities
D. Sustainability
E. IoT/edge computing

Also relevant/see:

Five Trends for Voice Assistants in 2018 — from chatbotsmagazine.com by Gillian Armstrong
It’s going to be an interesting year…

18 striking AI Trends to watch in 2018 – Part 1 as well as 18 striking AI Trends to watch in 2018 – Part 2 — from datahub.packtpub.com by Sugandha Lahoti

Excerpt:

Artificial Intelligence is the talk of the town. It has evolved past merely being a buzzword in 2016, to be used in a more practical manner in 2017. As 2018 rolls out, we will gradually notice AI transitioning into a necessity. We have prepared a detailed report, on what we can expect from AI in the upcoming year. So sit back, relax, and enjoy the ride through the future. (Don’t forget to wear your VR headgear! )

Here are 18 things that will happen in 2018 that are either AI driven or driving AI:

Artificial General Intelligence may gain major traction in research.
We will turn to AI enabled solution to solve mission-critical problems.
Machine Learning adoption in business will see rapid growth.
Safety, ethics, and transparency will become an integral part of AI application design conversations.
Mainstream adoption of AI on mobile devices
Major research on data efficient learning methods
AI personal assistants will continue to get smarter
Race to conquer the AI optimized hardware market will heat up further
We will see closer AI integration into our everyday lives.
The cryptocurrency hype will normalize and pave way for AI-powered Blockchain applications.
Advancements in AI and Quantum Computing will share a symbiotic relationship18 striking AI Trends to watch in 2018 – Part 1
Deep learning will continue to play a significant role in AI development progress.
AI will be on both sides of the cybersecurity challenge.
Augmented reality content will be brought to smartphones.
Reinforcement learning will be applied to a large number of real-world situations.
Robotics development will be powered by Deep Reinforcement learning and Meta-learning
Rise in immersive media experiences enabled by AI.
A large number of organizations will use Digital Twin.

Inside AI — from inside.com
The year 2017 has been full of interesting news about Artificial Intelligence, so to close out the year, we’re doing two special retrospective issues covering the highlights.

Excerpt:

A Reality Check For IBM’s A.I. Ambitions. MIT Tech Review.
This is a must read piece about the failures, and continued promise, of Watson. Some of the press about Watson has made IBM appear behind some of the main tech leaders, but, keep in mind that Google, Amazon, Facebook, and others don’t do the kinds of customer facing projects IBM is doing with Watson. When you look at how the tech giants are positioned, I think IBM has been vastly underestimated, given that they have the one thing few others do – large scale enterprise A.I. projects. Whether it all works today, or not, doesn’t matter. The experience and expertise they are building is a competitive advantage in a market that is very young where no other companies are doing these types of projects that will soon enough be mainstream.

The Business of Artificial Intelligence. Harvard Business Review.
This cover story for the latest edition of HBR explains why artificial intelligence is the most powerful general purpose technology to come around in a long time. It also looks into some of the key ways to think about applying A.I. at work, and how to expect the next phase of this technology to play out.

The Robot Revolution Is Coming. Just Be Patient. Bloomberg.
We keep hearing that robots and A.I. are about to make us super productive. But when? Sooner than we think, according to this.

An excerpt from A2Apple.com:

Alexa Wants You to Talk to Your Ads — from wired.com by Ricki Harris

Excerpt:

There are few electronic devices with which you cannot order a Domino’s pizza. When the craving hits, you can place an order via Twitter, Slack, Facebook Messenger, SMS, your tablet, your smartwatch, your smart TV, and even your app-enabled Ford. This year, the pizza monger added another ordering tool: If your home is one of the 20 million with a voice assistant, you can place a regular order through Alexa or Google Home. Just ask for a large extra-cheese within earshot, and voila—your pizza is in the works.

Amazon’s Alexa offers more than 25,000 skills—the set of actions that serve as applications for voice technology. Yet Domino’s is one of a relatively small number of brands that has seized the opportunity to enter your home by creating a skill of its own. Now that Amazon Echoes and Google Homes are in kitchens and living rooms across the country, they open a window into user behavior that marketers previously only dreamt of. But brands’ efforts to engage consumers directly via voice have been scattershot. The list of those that have tried is sparse: some banks; a couple of fast food chains; a few beauty companies; retailers here and there. Building a marketing plan for Alexa has been a risky venture. That’s because, when it comes to our virtual assistants, no one knows what the *&^& is going on.

But if 2017 was the year that Alexa hit the mainstream, 2018 will be the year that advertisers begin to take her seriously by investing time and money in figuring out how to make use of her.

8 emerging AI jobs for IT pros — from enterprisersproject.com by Kevin Casey
What IT jobs will be hot in the age of AI? Take a sneak peek at roles likely to be in demand

Excerpt:

If you’re watching the impact of artificial intelligence on the IT organization, your interest probably starts with your own job. Can robots do what you do? But more importantly, you want to skate where the puck is headed. What emerging IT roles will AI create? We talked to AI and IT career experts to get a look at some emerging roles that will be valuable in the age of AI.

Getting Intelligent About Artificial Intelligence: 6 Ways Executives Can Start — from forbes.comby Davia Temin

Excerpt:

This past June, Fortune Magazine asked all the CEOs of the Fortune 500 what they believed the biggest challenge facing their companies was. Their biggest concern for 2017: “The rapid pace of technological change” said 73% of those polled, up from 64% in 2016. Cyber security came in only a far second, at 61%, even after all the mega hacks of the past year.

So, what does “technological change” entail? For almost all Fortune 500 CEOs, it means, in part, artificial intelligence. And, as we wrote in our piece yesterday on Forbes.com, “Forget The Hype: What Every Business Leader Needs To Know About Artificial Intelligence Now,” AI is on the lips of almost every global CEO and Board of Directors.

But apart from the Big 8 technology companies – Google, Facebook, Microsoft, Amazon, IBM, Baidu, Tencent, and Alibaba – business leaders, especially of earlier generations, may feel they don’t know enough about AI to make informed decisions.

Artificial intelligence is helping astronomers discover new planets — from wired.co.uk
AI could help us discover planet nine, dark matter and more gravitational waves

Excerpt:

For the first time, artificial intelligence has been used to discover two new exoplanets. One of the discoveries, made by Nasa’s Kepler mission, brings the Kepler-90 solar system to a total of 8 planets – the first solar system found with the same number as our own.

DC: The next generation learning platform will likely offer us such virtual reality-enabled learning experiences such as this “flight simulator for teachers.”

On 12/22/2017, in 21st century, 24x7x365 access, active learning, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, bots, business, business side of he, career development, collaboration, colleges, community colleges, convergence, corporate / business world, corporate universities / corporate training, cost of getting a degree, Daniel S. Christian, digital learning, disruption, education technology, emerging technologies, engagement / engaging students, future of higher education, game-changing environment, global / globalization, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, immersion, informal learning, innovation, intelligent systems, intelligent tutoring, internet, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, learning spaces, lifelong learning, multimedia, Natural Language Processing (NLP), online learning, participation, pedagogy, personalized/customized learning, platforms, second screen apps, simulations, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, technologies for your home, technology (general), television, tools, training / L&D, transmedia, TVs, ubiquitous learning, universities, user experience (UX), virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, by Daniel Christian

Virtual reality simulates classroom environment for aspiring teachers — from phys.org by Charles Anzalone, University at Buffalo

Excerpt (emphasis DSC):

Two University at Buffalo education researchers have teamed up to create an interactive classroom environment in which state-of-the-art virtual reality simulates difficult student behavior, a training method its designers compare to a “flight simulator for teachers.”

The new program, already earning endorsements from teachers and administrators in an inner-city Buffalo school, ties into State University of New York Chancellor Nancy L. Zimpher’s call for innovative teaching experiences and “immersive” clinical experiences and teacher preparation.
…
The training simulator Lamb compared to a teacher flight simulator uses an emerging computer technology known as virtual reality. Becoming more popular and accessible commercially, virtual reality immerses the subject in what Lamb calls “three-dimensional environments in such a way where that environment is continuous around them.” An important characteristic of the best virtual reality environments is a convincing and powerful representation of the imaginary setting.

Also related/see:

How Virtual Reality Is Helping Train New Teachers — from edweek.org by Liana Loewus

TeachLive.org
TLE TeachLivE™ is a mixed-reality classroom with simulated students that provides teachers the opportunity to develop their pedagogical practice in a safe environment that doesn’t place real students at risk. This lab is currently the only one in the country using a mixed reality environment to prepare or retrain pre-service and in-service teachers. The use of TLE TeachLivE™ Lab has also been instrumental in developing transition skills for students with significant disabilities, providing immediate feedback through bug-in-ear technology to pre-service teachers, developing discrete trial skills in pre-service and in-service teachers, and preparing teachers in the use of STEM-related instructional strategies.

Virtual reality lessons can help students become better real-life teachers — from news.psu.edu by Jim Carlson

10 amazing virtual museum tours — from virtualiteach.com

Classroom Simulator at University of Virginia’s Curry School of Education

This start-up uses virtual reality to get your kids excited about learning chemistry — from Lora Kolodny and Erin Black

MEL Science raised $2.2 million in venture funding to bring virtual reality chemistry lessons to schools in the U.S.
Eighty-two percent of science teachers surveyed in the U.S. believe virtual reality content can help their students master their subjects.

This start-up uses virtual reality to get your kids excited about learning chemistry from CNBC.

From DSC:
It will be interesting to see all the “places” we will be able to go and interact within — all from the comfort of our living rooms! Next generation simulators should be something else for teaching/learning & training-related purposes!!!

The next gen learning platform will likely offer such virtual reality-enabled learning experiences, along with voice recognition/translation services and a slew of other technologies — such as AI, blockchain*, chatbots, data mining/analytics, web-based learner profiles, an online-based marketplace supported by the work of learning-based free agents, and others — running in the background. All of these elements will work to offer us personalized, up-to-date learning experiences — helping each of us stay relevant in the marketplace as well as simply enabling us to enjoy learning about new things.

But the potentially disruptive piece of all of this is that this next generation learning platform could create an Amazon.com of what we now refer to as “higher education.” It could just as easily serve as a platform for offering learning experiences for learners in K-12 as well as the corporate learning & development space.

I’m tracking these developments at:
http://danielschristian.com/thelivingclassroom/

* Also see:

Blockchain, Bitcoin and the Tokenization of Learning — from edsurge.com by Sydney Johnson

Excerpt:

In 2014, Kings College in New York became the first university in the U.S. to accept Bitcoin for tuition payments, a move that seemed more of a PR stunt than the start of some new movement. Much has changed since then, including the value of Bitcoin itself, which skyrocketed to more than $19,000 earlier this month, catapulting cryptocurrencies into the mainstream.

A handful of other universities (and even preschools) now accept Bitcoin for tuition, but that’s hardly the extent of how blockchains and tokens are weaving their way into education: Educators and edtech entrepreneurs are now testing out everything from issuing degrees on the blockchain to paying people in cryptocurrency for their teaching.

The 10 Most Exciting Digital Health Stories of 2017 [Mesko]

On 12/21/2017, in 3D, Artificial Intelligence/Agents/LLMs/and Related, bots, health, human-computer interaction (HCI), innovation, Microsoft, robotics, technology (general), user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, wearables, by Daniel Christian

The 10 Most Exciting Digital Health Stories of 2017 — from medicalfuturist.com by Dr. Bertalan Mesko
Gene-edited human embryo. Self-driving trucks. Practical quantum computers. 2017 has been an exciting year for science, technology – and digital health! It’s that time of the year again when it’s worth looking back at the past months; and list the inventions, methods and milestone events in healthcare to get a clearer picture what will shape medicine for the years to come.

Excerpt:

Medical chatbots and health assistants on the rise
Chatbots, A.I. supported messaging apps or voice controlled bots are forecasted to replace simple messaging apps soon. In healthcare, they could help solve easily diagnosable health concerns or support patient management, e.g. general organizational issues. In the last months, several signs have pointed to the direction that a more widespread use is forthcoming.

Ada Health has been the fastest growing medical app in Europe in 2017. Over 1.5 million people already tried the health companion app, which is able to assess the user’s health based on the indicated symptoms using its vast, A.I.-based database. The UK’s National Health Service (NHS) started to use a chatbot app for dispensing medical advice for a trial period in 2017, with the aim of reducing the burden on its 111 non-emergency helplines. The NHS is developing the app with Babylon Health, one of the new breed of paid, doctor-on-demand services. Although the initial results how patients utilize the new resource show somewhat mixed achievements, I believe, this is the way to go in the future.

Some predictions for 2018: Learning-wise & tech-wise

On 12/20/2017, in 21st century, A/V -- audio/visual, accessibility / UDL, Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, Blockchain, bots, business, career development, change, CMS/LMS, collaboration, communications, corporate / business world, data related items, education technology, emerging technologies, future, future of higher education, Google, health, higher education, K-12 related, learning, learning ecosystem, online learning, pace of change, robotics, social media, society, technology (general), trends, United States, universities, vendors, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, workplace, youth, by Daniel Christian

eLearning: Predictions for 2018 — from news.elearninginside.com by Cait Etherington

Excerpts:

The educational technology sector grew substantially in 2017 and all signs point to even greater growth in 2018. Over the past year, the sector was buoyed by several key factors, including a growing recognition that as big data restructures work at an unprecedented pace, there is an urgent need to rethink how education is delivered. In fact, there is now growing evidence that colleges and universities, especially if they continue to operate as they have in the past, will simply not be able to produce the workers needed to fill tomorrow’s jobs. Ed tech, with its capacity to make education more affordable, flexible, and relevant, is increasingly being embraced as the answer to the Fourth Industrial Revolution’s growing talent pipeline challenges.

…

K-12 virtual schools will become a preferred choice
Voice-activation will transform the Learning Management System (LMS) sector
Data will drive learning
Higher ed will increase online course and program offerings

12 tech trends that will define 2018 — from businessinsider.com by Chris Weller

Excerpts:

No one can predict how the future will shake out, but we can make some educated guesses.

Global design and strategy firm frog has shared with Business Insider its forecasts for the technologies that will define the upcoming year. Last year, the firm correctly predicted that buildings would harness the power of nature and that businesses would continue using artificially-intelligent bots to run efficiently.

Get ready to step into the future.

Artificial intelligence will inspire how products are designed
Other companies will join Google in the ‘Algorithm Hall of Fame’
Virtual and augmented reality will become communal experiences
Democracy will cozy up to the blockchain
Augmented reality will invite questions about intellectual property
Consumer tech will feel even friendlier
Tech will become inclusive for all
Anonymous data will make life smarter but still private
Ultra-tiny robots will replace medicine for certain patients
The way we get around will fundamentally transform
Businesses will use data and machine learning to cater to customers
Social media will take on more corporate responsibility

Alexa, how can you improve teaching and learning? — from edscoop.com by Kate Roddy with thanks to eduwire for their post on this
Special report:? Voice command platforms from Amazon, Google and Microsoft are creating new models for learning in K-12 and higher education — and renewed privacy concerns.

Excerpt:

We’ve all seen the commercials: “Alexa, is it going to rain today?” “Hey, Google, turn up the volume.” Consumers across the globe are finding increased utility in voice command technology in their homes. But dimming lights and reciting weather forecasts aren’t the only ways these devices are being put to work.

Educators from higher ed powerhouses like Arizona State University to small charter schools like New Mexico’s Taos Academy are experimenting with Amazon Echo, Google Home or Microsoft Invoke and discovering new ways this technology can create a more efficient and creative learning environment.

The devices are being used to help students with and without disabilities gain a new sense for digital fluency, find library materials more quickly and even promote events on college campuses to foster greater social connection.

Like many technologies, the emerging presence of voice command devices in classrooms and at universities is also raising concerns about student privacy and unnatural dependence on digital tools. Yet, many educators interviewed for this report said the rise of voice command technology in education is inevitable — and welcome.

…

“One example,” he said, “is how voice dictation helped a student with dysgraphia. Putting the pencil and paper in front of him, even typing on a keyboard, created difficulties for him. So, when he’s able to speak to the device and see his words on the screen, the connection becomes that much more real to him.”

The use of voice dictation has also been beneficial for students without disabilities, Miller added. Through voice recognition technology, students at Taos Academy Charter School are able to perceive communication from a completely new medium.

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