Television. TV. There’s an app for that. Finally! TV — that is, live shows such as the news, specials, documentaries (and reality shows, if you must) — is now just like Candy Crunch and Facebook. TV apps (e.g., DirecTV Now) are available on all devices — smartphones, tablets, laptops, Chromebooks. Accessing streams upon streams of videos is, literally, now just a tap away.
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Plain and simple: readily accessible video can be a really valuable resource for learners and learning.
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Not everything that needs to be learned is on video. Instruction will need to balance the use of video with the use of printed materials. That balance, of course, needs to take in cost and accessibility.
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Now for the 800 pound gorilla in the room: Of course, that TV app could be a huge distraction in the classroom. The TV app has just piled yet another classroom management challenge onto a teacher’s back.
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That said, it is early days for TV as an app. For example, HD (High Definition) TV demands high bandwidth — and we can experience stuttering/skipping at times. But, when 5G comes around in 2020, just two years from now, POOF, that stuttering/skipping will disappear. “5G will be as much as 1,000 times faster than 4G.” Yes, POOF!
From DSC: Learning via apps is here to stay. “TV” as apps is here to stay. But what’s being described here is but one piece of the learning ecosystem that will be built over the next 5-15 years and will likely be revolutionary in its global impact on how people learn and grow. There will be opportunities for social-based learning, project-based learning, and more — with digital video being a component of the ecosystem, but is and will be insufficient to completely move someone through all of the levels of Bloom’s Taxonomy.
I will continue to track this developing learning ecosystem, but voice-driven personal assistants are already here. Algorithm-based recommendations are already here. Real-time language translation is already here. The convergence of the telephone/computer/television continues to move forward. AI-based bots will only get better in the future. Tapping into streams of up-to-date content will continue to move forward. Blockchain will likely bring us into the age of cloud-based learner profiles. And on and on it goes.
We’ll still need teachers, professors, and trainers. But this vision WILL occur. It IS where things are heading. It’s only a matter of time.
The Innovation Group rounds up a preview of what’s in store at CES.
Next week, the electronics industry will descend on Las Vegas for the annual Consumer Electronics Show, the country’s top showcase for technology and innovation. Vendors will show off everything from new gadgets (drones, TVs) to the future of cities and transportation (smart robots, self-driving cars).
What can attendees expect from this year’s CES? And what trends will rise to the top this year? Below, the Innovation Group rounds up our top picks.
This year, expect to see more enhanced voice and image recognition technology, allowing seamless interactions between consumer, lifestyle and retail.
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
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.
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.
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.
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.
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.
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.
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.
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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.
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.
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.
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 — 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.
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.
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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
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
A recent study by Oxford university estimates that nearly half of all jobs in the US are at risk from automation and computers in the next 20 years. While advancing technologies have been endangering jobs since the start of the Industrial Revolution, this time it is not just manual posts: artificial intelligence — the so-called fourth industrial revolution — promises to change the shape of professional work as well.
For instance, lawtech is already proving adept at sorting and analysing legal documents far faster and more cheaply than junior lawyers can. Similarly, routine tasks in accounting are succumbing to AI at the expense of more junior staff.
The next generation will need a new set of skills to survive, let alone thrive, in an AI world. Literacy, numeracy, science and languages are all important, but they share one thing in common: computers are going to be far better than humans at processing these forms of explicit knowledge. The risk is that the education system will be churning out humans who are no more than second-rate computers, so if the focus of education continues to be on transferring explicit knowledge across the generations, we will be in trouble.
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The AI challenge is not just about educating more AI and computer experts, although that is important. It is also about building skills that AI cannot emulate. These are essential human skills such as teamwork, leadership, listening, staying positive, dealing with people and managing crises and conflict.
Evaluation and league tables are a barrier to success — you get what you measure in education as much as you do in business.
From DSC: “Teamwork, leadership, listening, staying positive, dealing with people and managing crises and conflict.” Do our standardized tests measure these types of things? No, I agree with you. They don’t. They measure “know-what skills.”
“We are doubling down on the idea that if we get children to know things and regurgitate them in a certain way in an exam, then we are setting them up for success in life.”
Inequality Gets Worse From Here Our new report on the future of work and learning illustrated how the combination of artificial intelligence, big data and enabling technologies like robotics are changing the employment landscape fast.
Our work uncovered five high-tech strategies employed by institutions that have successfully implemented digital learning at scale across a range of modalities. The strategies that underscore the high-tech, high-touch connection are customizing through technology, leveraging adaptive courseware, adopting cost-efficient resources, centralizing course development and making data-driven decisions.
Although many of the institutions we studied are employing more than one of these strategies, in this report we have grouped the institutional use cases according to the strategy that has been most critical to achieving digital learning at scale. As institutional leaders make their way through this document, they should watch for strategies that target challenges similar to those they hope to solve. Reading the corresponding case studies will unpack how institutions employed these strategies effectively.
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Digital learning in higher education is becoming more ubiquitous as institutions realize its ability to support student success and empower faculty. Growing diversity in student demographics has brought related changes in student needs, prompting institutions to look to technology to better serve their students. Digital courseware gives institutions the ability to build personalized, accessible and engaging content. It enables educators to provide relevant content and interventions for individual students, improve instructional techniques based on data and distribute knowledge to a wider audience (MIT Office of Digital Learning, 2017).
PARTICIPATION IN DIGITAL LEARNING IS GROWING
Nationally, the number of students engaged in digital learning is growing rapidly. One driver of this growth is rising demand for distance learning, which often relies on digital learning environments. Distance learning programs saw enrollment increases of approximately 4% between 2015 and 2016, with nearly 30% of higher education students taking at least one digital distance learning course (Allen, 2017). Much of this growth is occurring at the undergraduate level (Allen, 2017). The number of students who take distance learning courses exclusively is growing as well. Between 2012 and 2015, both public and private nonprofit institutions saw an increase in students taking only distance courses, although private, for-profit institutions have seen a decrease (Allen, 2017).
From DSC: I am honored to be currently serving on the 2018 Advisory Council for the Next Generation Learning Spaces Conference with a great group of people. Missing — at least from my perspective — from the image below is Kristen Tadrous, Senior Program Director with the Corporate Learning Network. Kristen has done a great job these last few years planning and running this conference.
NOTE:
The above graphic reflects a recent change for me. I am still an Adjunct Faculty Member
at Calvin College, but I am no longer a Senior Instructional Designer there.
My brand is centered around being an Instructional Technologist.
This national conference will be held in Los Angeles, CA on February 26-28, 2018. It is designed to help institutions of higher education develop highly-innovative cultures — something that’s needed in many institutions of traditional higher education right now.
I have attended the first 3 conferences and I moderated a panel at the most recent conference out in San Diego back in February/March of this year. I just want to say that this is a great conference and I encourage you to bring a group of people to it from your organization! I say a group of people because a group of 5 of us (from a variety of departments) went one year and the result of attending the NGLS Conference was a brand new Sandbox Classroom — an active-learning based, highly-collaborative learning space where faculty members can experiment with new pedagogies as well as with new technologies. The conference helped us discuss things as a diverse group, think out load, come up with some innovative ideas, and then build the momentum to move forward with some of those key ideas.
Per Kristen Tadrous, here’s why you want to check out USC:
A true leader in innovation: USC made it to the Top 20 of Reuter’s 100 Most Innovative Universities in 2017!
Detailed guided tour of leading spaces led by the Information Technology Services Learning Environments team
Benchmark your own learning environments by getting a ‘behind the scenes’ look at their state-of-the-art spaces
There are only 30 spots available for the site tour
Building Spaces to Inspire a Culture of Innovation — a core theme at the 4th Next Generation Learning Spaces summit, taking place this February 26-28 in Los Angeles. An invaluable opportunity to meet and hear from like-minded peers in higher education, and continue your path toward lifelong learning. #ngls2018 http://bit.ly/2yNkMLL
2018 marks the beginning of the end of smartphones in the world’s largest economies. What’s coming next are conversational interfaces with zero-UIs. This will radically change the media landscape, and now is the best time to start thinking through future scenarios.
In 2018, a critical mass of emerging technologies will converge finding advanced uses beyond initial testing and applied research. That’s a signal worth paying attention to. News organizations should devote attention to emerging trends in voice interfaces, the decentralization of content, mixed reality, new types of search, and hardware (such as CubeSats and smart cameras).
Journalists need to understand what artificial intelligence is, what it is not, and what it means for the future of news. AI research has advanced enough that it is now a core component of our work at FTI. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers within news organizations familiarize themselves with the current and emerging AI landscapes. We have included an AI Primer For Journalists in our Trend Report this year to aid in that effort.
Decentralization emerged as a key theme for 2018. Among the companies and organizations FTI covers, we discovered a new emphasis on restricted peer-to-peer networks to detect harassment, share resources and connect with sources. There is also a push by some democratic governments around the world to divide internet access and to restrict certain content, effectively creating dozens of “splinternets.”
Consolidation is also a key theme for 2018. News brands, broadcast spectrum, and artificial intelligence startups will continue to be merged with and acquired by relatively few corporations. Pending legislation and policy in the U.S., E.U. and in parts of Asia could further concentrate the power among a small cadre of information and technology organizations in the year ahead.
To understand the future of news, you must pay attention to the future of many industries and research areas in the coming year. When journalists think about the future, they should broaden the usual scope to consider developments from myriad other fields also participating in the knowledge economy. Technology begets technology. We are witnessing an explosion in slow motion.
Those in the news ecosystem should factor the trends in this report into their strategic thinking for the coming year, and adjust their planning, operations and business models accordingly.
This year’s report has 159 trends.
This is mostly due to the fact that 2016 was the year that many areas of science and technology finally started to converge. As a result we’re seeing a sort of slow-motion explosion––we will undoubtedly look back on the last part of this decade as a pivotal moment in our history on this planet.
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Our 2017 Trend Report reveals strategic opportunities and challenges for your organization in the coming year. The Future Today Institute’s annual Trend Report prepares leaders and organizations for the year ahead, so that you are better positioned to see emerging technology and adjust your strategy accordingly. Use our report to identify near-future business disruption and competitive threats while simultaneously finding new collaborators and partners. Most importantly, use our report as a jumping off point for deeper strategic planning.
Augmented and virtual reality offer ways to immerse learners in experiences that can aid training in processes and procedures, provide realistic simulations to deepen empathy and build communication skills, or provide in-the-workflow support for skilled technicians performing complex procedures.
Badges and other digital credentials provide new ways to assess and validate employees’ skills and mark their eLearning achievements, even if their learning takes place informally or outside of the corporate framework.
Chatbots are proving an excellent tool for spaced learning, review of course materials, guiding new hires through onboarding, and supporting new managers with coaching and tips.
Content curation enables L&D professionals to provide information and educational materials from trusted sources that can deepen learners’ knowledge and help them build skills.
eBooks, a relative newcomer to the eLearning arena, offer rich features for portable on-demand content that learners can explore, review, and revisit as needed.
Interactive videos provide branching scenarios, quiz learners on newly introduced concepts and terms, offer prompts for small-group discussions, and do much more to engage learners.
Podcasts can turn drive time into productive time, allowing learners to enjoy a story built around eLearning content.
Smartphone apps, available wherever learners take their phones or tablets, can be designed to offer product support, info for sales personnel, up-to-date information for repair technicians, and games and drills for teaching and reviewing content; the possibilities are limited only by designers’ imagination.
Social platforms like Slack, Yammer, or Instagram facilitate collaboration, sharing of ideas, networking, and social learning. Adopting social learning platforms encourages learners to develop their skills and contribute to their communities of practice, whether inside their companies or more broadly.
xAPI turns any experience into a learning experience. Adding xAPI capability to any suitable tool or platform means you can record learner activity and progress in a learning record store (LRS) and track it.
How does all of this relate to eLearning? Again, Webb anticipated the question. Her response gave hope to some—and terrified others. She presented three possible future scenarios:
Everyone in the learning arena learns to recognize weak signals; they work with technologists to refine artificial intelligence to instill values. Future machines learn not only to identify correct and incorrect answers; they also learn right and wrong. Webb said that she gives this optimistic scenario a 25 percent chance of occurring.
Everyone present is inspired by her talk but they, and the rest of the learning world, do nothing. Artificial intelligence continues to develop as it has in the past, learning to identify correct answers but lacking values. Webb’s prediction is that this pragmatic optimistic scenario has a 50 percent chance of occurring.
Learning and artificial intelligence continue to develop on separate tracks. Future artificial intelligence and machine learning projects incorporate real biases that affect what and how people learn and how knowledge is transferred. Webb said that she gives this catastrophic scenario a 25 percent chance of occurring.
In an attempt to end on a strong positive note, Webb said that “the future hasn’t happened yet—we think” and encouraged attendees to take action. “To build the future of learning that you want, listen to weak signals now.”
Emerging social VR platforms are experimenting with new ways of democratizing access and ownership of content and information.
VR has often been considered something of a solitary experience, but that’s changing fast. Social VR platforms are on the rise, and as the acquisition of AltspaceVR by Microsoft shows, major players in that space are taking notice.
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This shows how momentum is building around social VR, and although it’s unlikely that such platforms will replace social media in terms of popularity overnight, the question is certainly being asked about who will emerge as “Facebook of VR.”
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“We believe virtual reality will flourish once users have a more prominent role in controlling their creations. Currently, the companies that create the virtual worlds own all of the content built by the users. They are the ones who profit, reap the benefits from the network effects, and have the power to undo, change or censor what happens within the world itself. The true potential of VR might be realized, and certainly surpass what already exists, if this power were put into the hands of the users instead,” believes Ariel Meilich, founder of blockchain-based virtual platform Decentraland.
A blockchain is a digitized, decentralized public ledger of cryptocurrency transactions. Essentially each ‘block’ is like an individual bank statement. Completed ‘blocks’ (the most recent transactions) are added in chronological order allowing market participants to keep track of the transactions without the need for central record keeping. Just as Bitcoin eliminates the need for a third party to process or store payments, and isn’t regulated by a central authority, users in any blockchain structure are responsible for validating transactions whenever one party pays another for goods or services.
From DSC: As this article reminded me, it’s the combination of two or more emerging technologies that will likely bring major innovation our way. Here’s another example of that same idea/concept.
Online glasses retailer Warby Parker built its reputation by selling fashionable yet affordable eyeglasses, so it perhaps a surprise that it’s one of the first developers to take advantage of the technology in the least affordable iPhone yet.
While other developers are making adjusting to their apps to account for the infamous camera notch, Warby Parker decided to update its Glasses app to directly leverage the Face ID facial recognition system. Now, in the updated version of the app, Glasses can measure the user’s face to estimate which frames will fit best.
Apple Inc., seeking a breakthrough product to succeed the iPhone, aims to have technology ready for an augmented-reality headset in 2019 and could ship a product as early as 2020.
Unlike the current generation of virtual reality headsets that use a smartphone as the engine and screen, Apple’s device will have its own display and run on a new chip and operating system, according to people familiar with the situation. The development timeline is very aggressive and could still change, said the people, who requested anonymity to speak freely about a private matter.
“The power is that we can take the user anywhere in the entire universe throughout all of time for historical experiences like this.” (source)
Ask a robot to do the same and you’ll either get a blank stare or a crumpled object in the cold, cold grasp of a machine. Because robots are good at repetitive tasks that require a lot of strength, but they’re still bad at learning how to manipulate novel objects. Which is why today a company called Embodied Intelligence has emerged from stealth mode to fuse the strengths of robots and people into a new system that could make it far easier for regular folk to teach robots new tasks. Think of it like a VR videogame—only you get to control a hulking robot.
From DSC: To remain up-to-date, Engineering Departments within higher ed have their work cut out for them — big time! Those Senior Engineering Teams have many new, innovative pathways and projects to pursue these days.
Daqri has begun shipping its augmented reality smart glasses for the workplace.
Los Angeles-based Daqri is betting that AR — a technology that overlays digital animations on top of the real world — will take off first in the enterprise, where customers are willing to pay a higher price in order to solve complex problems. The idea is to help people solve real-world problems, like fixing a jet engine or piecing together an assembly. Daqri argues that the gains in productivity and efficiency make up for the initial cost.
At $4,995, the system is not cheap, but it is optimized to present complex workloads and process a lot of data right on the glasses themselves. It is available for direct purchase from Daqri’s web site and through channel partners. Daqri is targeting customers across manufacturing, field services, maintenance and repair, inspections, construction, and others.
The NBA really wants you to watch games in VR— from cnet.com by Terry Collins The basketball league has now struck two partnerships to broadcast games in virtual reality. Are fans willing to watch them?
Excerpt:
What’s keeping you from watching NBA games in VR?
Is it the bulky headsets? Is it the slow camera switches that don’t follow the players quickly enough? Is it too expensive?
The NBA is betting that one reason is it just doesn’t have enough partnerships yet. So, the league is teaming up with Turner Sports and Intel TrueVR to air weekly games on TNT in VR starting with the All-Star weekend festivities from Los Angeles in February.
russell-westbrook-alley-oop.jpg
NBA fans will soon be able to see more of MVP Russell Westbrook in virtual reality.
NBAE/Getty Images
This partnership represents a doubling down of NBA’s VR efforts, despite indications it isn’t actually working. Last year, the NBA began airing games with NextVR as part of a multiyear deal.
At the Microsoft Future Decoded conference in London, executives from the tech giant offered a vision for integrating Microsoft 365, Microsoft HoloLens, Windows Mixed Reality, and 3D capabilities into modern workplaces to aid digital transformation.
Firstline workers and information workers will likely be the first to benefit from mixed reality in the workplace, using the technology for collaboration, training, and more.
Microsoft has made a number of moves into the mixed reality space recently, including expanding its HoloLens headset into new European markets.
In an open-ended question asking for educators’ favorite technologies currently in use at their schools, respondents overwhelmingly chose Google’s G Suite for Education as their top overall pick.
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The top overall categories were:
Mobile devices
Interactive whiteboards/displays/projectors
eLearning/learning management systems and reading software — Lexia Learning’s Core5 scored big in the reading software area, while Google Classroom, Schoology, Moodle, Canvas, and Blackboard Learn were often mentioned in the LMS area
Also, there was an article in there on learning spaces. Some ideas mentioned include:
Until this month, it seemed that GAN-generated images [where GAN stands for “generative adversarial networks”] that could fool a human viewer were years off. But last week research released by Nvidia, a manufacturer of graphics processing units that has cornered the market on deep learning hardware, shows that this method can now be used to generate high-resolution, believable images of celebrities, scenery, and objects.GAN-created images are also already being sold as replacements for fashion photographers—a startup called Mad Street Den told Quartz earlier this month it’s working with North American retailers to replace clothing images on websites with generated images.
From DSC: So AI can now generate realistic photos (i.e., image creation/manipulation). And then there’s Adobe’s VoCo Project, a sort of a Photoshop for audio manipulation plus other related technologies out there:
The era of easily-faked photos is quickly emerging—much as it did when Photoshop became widely prevalent—so it’s a good time to remember we shouldn’t trust everything we see.
…and perhaps we’ll need to add, “we shouldn’t trust everything we hear either.” But how will the average person with average tools know the real deal? The concept of watermarking visuals/audio may be increasingly involved. From the ending of bbc.com article:
For its part, Adobe has talked of its customers using Voco to fix podcast and audio book recordings without having to rebook presenters or voiceover artists.
But a spokeswoman stressed that this did not mean its release was imminent.
“[It] may or may not be released as a product or product feature,” she told the BBC.
“No ship date has been announced.”
In the meantime, Adobe said it was researching ways to detect use of its software.
“Think about watermarking detection,” Mr Jin said at the demo, referring to a method used to hide identifiers in images and other media.
But again, we see that technology often races ahead. “Look at what we can do!” But then the rest of society — such as developing laws, policies, questions about whether we should roll out such technologies, etc. — needs time to catch up. Morals and ethics do come into play here — as trust levels are most assuredly at stake.
Another relevant article/topic/example of this is listed below. (Though I’m not trying to say that we shouldn’t pursue self-driving cars. Rather, the topic serves as another example of technologies racing ahead while it takes a while for the rest of us/society to catch up with them).
Nvidia CEO: Expect autonomous vehicles to hit the streets by 2021 — from bizjournals.com by Gina Hall More than 40 companies, including Intel, Nvidia, Waymo, Tesla, Uber Technologies and Samsung, have secured permits from the California DMV to test self-driving cars on public roads.
Businesses are investing heavily in the Internet of Things (IoT) while remaining cautious about investments in artificial intelligence (AI), reveals the Constellation Research 2017 Digital Transformation Study. However, Constellation expects AI to emerge in 2018 as the predominant area of technological experimentation due to the increasing availability of AI development kits and frameworks.
Nearly half of respondents of the Constellation 2017 Digital Transformation Survey said their organization either had an established IoT strategy with applications in production (19 percent) or have pilot projects underway (28 percent). In contrast, just 25 percent of executives said they were investing in AI.
Highlights:
Charging ahead with IoT
Cautious about AI for now
Blockchain remains enigmatic
Appetite for cloud and big data grow to support digital transformation
Digital transformation goes mainstream
Digital transformation focuses on digital business
![The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV](http://danielschristian.com/learning-ecosystems/wp-content/uploads/2012/07/The-Living-Class-Room-Daniel-S-Christian-July-2012.jpg)
