Don’t discount the game-changing power of the morphing “TV” when coupled with artificial intelligence (AI), natural language processing (NLP), and blockchain-based technologies!
When I saw the article below, I couldn’t help but wonder what (we currently know of as) “TVs” will morph into and what functionalities they will be able to provide to us in the not-too-distant future…?
For example, the article mentions that Seiki, Westinghouse, and Element will be offering TVs that can not only access Alexa — a personal assistant from Amazon which uses artificial intelligence — but will also be able to provide access to over 7,000 apps and games via the Amazon Fire TV Store.
Some of the questions that come to my mind:
Why can’t there be more educationally-related games and apps available on this type of platform?
Why can’t the results of the assessments taken on these apps get fed into cloud-based learner profiles that capture one’s lifelong learning? (#blockchain)
When will potential employers start asking for access to such web-based learner profiles?
Will tvOS and similar operating systems expand to provide blockchain-based technologies as well as the types of functionality we get from our current set of CMSs/LMSs?
Will this type of setup become a major outlet for competency-based education as well as for corporate training-related programs?
Will augmented reality (AR), virtual reality (VR), and mixed reality (MR) capabilities come with our near future “TVs”?
Will virtual tutoring be one of the available apps/channels?
Will the microphone and the wide angle, HD camera on the “TV” be able to be disconnected from the Internet for security reasons? (i.e., to be sure no hacker is eavesdropping in on their private lives)
The TVs will not only have access to Alexa via a microphone-equipped remote but, more importantly, will have access to the over 7,000 apps and games available on the Amazon Fire TV Store – a huge boon considering that most of these Smart TVs usually include, at max, a few dozen apps.
“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.
EdSurge profiles the growth of massive online open courses in 2016, which attracted more than 58 million students in over 700 colleges and universities last year.
The top three MOOC providers — Coursera, Udacity and EdX — collectively grossed more than $100 million last year, as much of the content provided on these platforms shifted from free to paywall guarded materials.
Many MOOCs have moved to offering credentialing programs or nanodegree offerings to increase their value in industrial marketplaces.
Some conference participants were concerned that this beleaguered region might grow. In fact, one attendee — an old friend who strategizes about technology for a big New York bank — commented that perhaps Wall Street would become “the new Rust Belt.” His concern was that automation of the finance industry would hollow out jobs in that field in the same way that robotics and other technologies have reduced manufacturing employment.
This is a sobering prospect, but there is plenty of evidence that it’s a real possibility. Key aspects of the finance industry have already been automated to a substantial degree. Jobs in the New York finance field have been declining for several years. According to data from research firm Coalition Ltd., more than 10,000 “front-office producer” jobs have been lost within the top 10 banks since 2011. Coalition also suggests that global fixed-income headcount has fallen 31% since 2011.
According to a new report, organizations are moving away from hierarchies, focusing on improving the employee experience, redesigning training, and reinventing the role of HR.
Business and HR leaders should rethink almost all of their management and HR practices as the proliferation of digital technologies transform the way organizations work, according to predictions for 2017 from Bersin by Deloitte, Deloitte Consulting LLP.
This year’s report includes 11 predictions about rapid technological, structural, and cultural changes that will reshape the world of work, including management, HR, and the markets for HR and workplace technology.
Artificial intelligence has a big year ahead — from cnet.com by Stepehn Shankland In 2017, AI won’t just be for the nerdy companies. Machine learning can help with mortgage applications and bridge safety, too.
Excerpt:
Get ready for AI to show up where you’d least expect it.
In 2016, tech companies like Google, Facebook, Apple and Microsoft launched dozens of products and services powered by artificial intelligence. Next year will be all about the rest of the business world embracing AI.
Artificial intelligence is a 60-year-old term, and its promise has long seemed like it was forever over the horizon. But new hardware, software, services and expertise means it’s finally real — even though companies will still need plenty of human brain power to get it working.
AI was one of the hottest trends in tech this year, and it’s only poised to get bigger. You’ve already brushed up against AI: It screens out spam, organizes your digital photos and transcribes your spoken text messages. In 2017, it will spread beyond digital doodads to mainstream businesses.
The design world has seen its own changes and updates as well. And as we know, change is the only constant. We’ve asked some of the top creatives to share what 2017 design trends they think will be headed our way.
SAN JOSE, Calif.–(BUSINESS WIRE)–The market has evolved from technologists looking to learn and understand new big data technologies to customers who want to learn about new projects, new companies and most importantly, how organizations are actually benefitting from the technology. According to John Schroeder, executive chairman and founder of MapR Technologies, Inc., the acceleration in big data deployments has shifted the focus to the value of the data. John has crystallized his view of market trends into these six major predictions for 2017…
2016 was a rich year for medical technology. Virtual Reality. Augmented Reality. Smart algorithms analysing wearable data. Amazing technologies arrived in our lives and on the market almost every day. And it will not stop in the coming year. The role of a futurist is certainly not making bold predictions about the future. No such big bet has taken humanity forward. Instead, our job is constantly analysing the trends shaping the future and trying to build bridges between them and what we have today. Still, people expect me to come up with predictions about medical technologies every year, and thus here they are.
Artificial intelligence (and machine/deep learning) is the hottest trend, eclipsing, but building on, the accumulated hype for the previous “new big thing,” big data. The new catalyst for the data explosion is the Internet of Things, bringing with it new cybersecurity vulnerabilities. The rapid fluctuations in the relative temperature of these trends also create new dislocations and opportunities in the tech job market.
The hottest segment of the hottest trend—artificial intelligence—is the market for chatbots. “The movement towards conversational interfaces will accelerate,” says Stuart Frankel, CEO, Narrative Science. “The recent, combined efforts of a number of innovative tech giants point to a coming year when interacting with technology through conversation becomes the norm. Are conversational interfaces really a big deal? They’re game-changing. Since the advent of computers, we have been forced to speak the language of computers in order to communicate with them and now we’re teaching them to communicate in our language.”
Google changed the world with its PageRank algorithm, creating a new kind of internet search engine that could instantly sift through the world’s online information and, in many cases, show us just what we wanted to see. But that was a long time ago. As the volume of online documents continues to increase, we need still newer ways of finding what we want.
That’s why Google is now running its search engine with help from machine learning, augmenting its predetermined search rules with deep neural networks that can learn to identify the best search results by analyzing vast amounts of existing search data. And it’s not just Google. Microsoft is pushing its Bing search engine in the same direction, and so are others beyond the biggest names in tech.
3 Forces Shaping Ed Tech in 2017— from campustechnology.com by Dian Schaffhauser
Ovum’s latest report examines the key trends that are expected to impact higher education in the new year.
Excerpts:
Institutions Will Support the Use of More Innovative Tech in Teaching and Learning
Schools Will Leverage Technology for Improving the Student Experience
The Next-Generation IT Strategy Will Focus More on IT Agility
We’ve seen a lot of exciting new innovations take place over the course of 2016. This year has introduced interesting new uses for virtual reality—like using VR to help burn victims in hospitals mentally escape from the pain during procedures—and even saw the world’s first revolutionary augmented reality game in the form of Pokémon Go. The iPhone 7 was also introduced, leaving millions of people uncertain of their feelings regarding Apple, while Samsung loyalists just prayed that their smartphones would stay in one piece.
Undoubtedly, there have been quite a few ups and downs in technology over the past year. With any luck, 2017 will provide us with even more new innovations and advancements in tech. But what exactly do we have to look forward to? TMC recently caught up with Jordan Edelson, CEO of Appetizer Mobile, to discuss his thoughts on 2016 and his predictions for what’s to come in the future. You can find the entire exchange below.
2016 is fast drawing to a close. And while many will be glad to see the back of it, for those of us who work and play with Virtual Reality, it has been a most exciting year. By the time the bells ring out signalling the start of a new year, the total number of VR users will exceed 43 million. This is a market on the move, projected to be worth $30bn by 2020. If it’s to meet that valuation, then we believe 2017 will be an incredibly important year in the lifecycle of VR hardware and software development. VR will be enjoyed by an increasingly mainstream audience very soon, and here we take a quick look at some of the trends we expect to develop over the next 12 months for that to happen.
Every December, we take a look back at big ideas from the past twelve months that promise to gain momentum in the new year. With more than eleven thousand projects launched between our Design and Tech categories in 2016, we have a nice sample to draw from. More importantly, we have a community of forward-thinking backers who help creators figure out which versions of the future to pursue. Here are some of the emerging trends we expect to see more of in 2017.
Everyday artificial intelligence
Whether chatting with a device as if it’s a virtual assistant strikes you as a sci-fi dream come true or a dystopian nightmare, we’re going to see an increasing number of products that use voice-controlled artificial intelligence interfaces to fit into users’ lives more seamlessly. Among the projects leading the way in this arena are Vi, wireless earphones that double as a personal trainer; Bonjour, an alarm clock that wakes you up with a personalized daily briefing; and Dashbot, a talking car accessory that recalls Kit, David Hasselhoff’s buddy from Knight Rider. One of the factors driving this talking AI boom is the emergence of platforms like Microsoft’s Cognitive Service, Amazon’s Alexa, and Google’s Speech API, which allow product developers to focus on user experience rather than low-level speech processing. For the DIY set, Seeed’s ReSpeaker offers a turnkey devkit for working with these services, and we’ll surely see more tools for integrating AI voice interfaces into all manner of products.
During Microsoft’s Build Conference earlier this year, CEO Satya Nadella delivered the three-hour keynote address, in which he highlighted his belief that the future of technology lies in human language. In this new wave of technology, conversation is the new interface, and “bots are the new apps.” While not as flashy as virtual reality nor as immediately practical as 3D printing, chatbots are nevertheless gaining major traction this year, with support coming from across the entire tech industry. The big tech enterprises are all entering the chatbot space, and many startups are too.
Out with the apps, in with the chatbots. The reason for the attention is simple: The power of the natural language processor, software that processes and parses human language, creating a simple and universal means of interacting with technology.
Developments in computing are driving the transformation of entire systems of production, management, and governance. In this interview Justine Cassell, Associate Dean, Technology, Strategy and Impact, at the School of Computer Science, Carnegie Mellon University, and co-chair of the Global Future Council on Computing, says we must ensure that these developments benefit all society, not just the wealthy or those participating in the “new economy”.
Artificial Intelligence (AI) is an important development and consumers globally will see it playing a much more prominent role — both in society and at work — next year, a new report said on Tuesday. Ericsson ConsumerLab, in its annual trend report titled “The 10 Hot Consumer Trends for 2017 and beyond”, said that 35 percent of advanced internet users want an AI advisor at work and one in four would like AI as their manager.At the same time, almost half of the respondents were concerned that AI robots will soon make a lot of people lose their jobs.
From driverless cars to robotic workers, the future is going to be here before you know it. Many emerging technologies you hear about today will reach a tipping point by 2025, according to a report from The World Economic Forum’s Global Agenda Council on the Future of Software & Society. The council surveyed more than 800 executives and experts from the technology sector to share their respective timelines for when technologies would become mainstream. From the survey results, the council identified 21 defining moments, all of which they predict will occur by 2030. Here’s a look at the technological shifts you can expect during the next 14 years.
… The first robotic pharmacist will arrive in the US 2021.
A new year is quickly approaching and Microsoft Research is offering a glimpse at what the tech scene has in store for 2017 along with some hints at the Redmond, Wash., tech giant’s own priorities for the coming year. This year, the company gathered prominent women researchers to share their thoughts on what to expect next year. Surprising nobody’s who’s been following Microsoft’s software and cloud computing strategy of late, the company is betting big on artificial intelligence (AI).
It’s still early days for the Internet of Things. As recently as 2014, 87 percent of consumers had never heard of the technology, according to Accenture. In 2016, and 19% of business and government professionals reported that they had never heard of the Internet of Things while 18% were only vaguely familiar with it, according to research from the Internet of Things Institute. Although the technology is getting the most traction in the industrial space, the most promising use cases for the technology are just starting to come to light. To get a sense of what to expect as we head into 2017, we spoke with Stanford lecturer and IoT author Timothy Chou, Ph.D.; Thulium.co CEO Tamara McCleary; industry observer and influencer Evan Kirstel; and Sandy Carter, CEO and founder of Silicon-Blitz.
15 tech trends in autonomous cars, artificial intelligence, and machine learning for 2017 — from venturebeat.com by John Brandon Tech is about to change dramatically next year. Want to stay up to date? These predictions from the famed design firm frog spell things out for you. In each section, a designer explains all of the details. Which one is already on your radar?
CIO’s Sharon Florentine took a look at data from global freelance marketplace Upwork, based on annual job posting growth and skills demand. The following are leading IoT skills Florentine identified that will be demand as the IoT proliferates, with level the growth seen over a one-year period:
Circuit design (231% growth): Builds miniaturized circuit boards for sensors and devices.
Microcontroller programming (225% growth): Writes code that provides intelligence to microcontrollers, the embedded chips within IoT devices.
AutoCAD (216% growth): Designs the devices.
Machine learning (199% growth): Writes the algorithms that recognize data patterns within devices.
Security infrastructure (194% growth): Identifies and integrates the standards, protocols and technologies that protect devices, as well as the data inside.
Big data (183% growth): Data scientists and engineers “who can collect, organize, analyze and architect disparate sources of data.” Hadoop and Apache Spark are two areas with particularly strong demand.
SAN FRANCISCO, Nov. 9, 2016 /PRNewswire/ — IBM (NYSE: IBM) today unveiled the experimental release of Project Intu, a new, system-agnostic platform designed to enable embodied cognition. The new platform allows developers to embed Watson functions into various end-user device form factors, offering a next generation architecture for building cognitive-enabled experiences.
Project Intu, in its experimental form, is now accessible via the Watson Developer Cloud and also available on Intu Gateway and GitHub.
SAN FRANCISCO, Nov. 9, 2016 /PRNewswire/ — At the IBM (NYSE: IBM) Watson Developer Conference, IBM announced a partnership with Topcoder, the premier global software development community comprised of more than one million designers, developers, data scientists, and competitive programmers, to advance learning opportunities for cognitive developers who are looking to harness the power of Watson to create the next generation of artificial intelligence apps, APIs, and solutions. This partnership also benefits businesses that gain access to an increased talent pool of developers through the Topcoder Marketplace with experience in cognitive computing and Watson.
5 Ways Artificial Intelligence Is Shaping the Future of E-commerce — from entrepreneur.com by Sheila Eugenio Paradoxically for a machine, AI’s greatest strength may be in creating a more personal experience for your customer. From product personalization to virtual personal shoppers.
Excerpt:
Here are three ways AI will impact e-commerce in the coming years:
Getting kids interested in STEM subjects is an ongoing challenge, and Teacher Advisor with Watson, a free tool, will help elementary school teachers match materials with student needs. In its first phase, it’s being used by 200 teachers, assisting them in creating math lessons that engage students and help them learn. The plan is to roll it out to all U.S. elementary schools by year end. As time goes on, Watson will learn from teacher feedback and improve its recommendations. There is, Rometty said, an opportunity to also build in professional development resources.
Even professional lip-readers can figure out only 20% to 60% of what a person is saying. Slight movements of a person’s lips at the speed of natural speech are immensely difficult to reliably understand, especially from a distance or if the lips are obscured. And lip-reading isn’t just a plot point in NCIS: It’s an essential tool to understand the world for the hearing-impaired, and if automated reliably, could help millions.
A new paper (pdf) from the University of Oxford (with funding from Alphabet’s DeepMind) details an artificial intelligence system, called LipNet, that watches video of a person speaking and matches text to the movement of their mouth with 93.4% accuracy.
From DSC: How long before recommendation engines like this can be filtered/focused down to just display apps, channels, etc. that are educational and/or training related (i.e., a recommendation engine to suggest personalized/customized playlists for learning)?
That is, in the future, will we have personalized/customized playlists for learning on our Apple TVs — as well as on our mobile devices — with the assessment results of our taking the module(s) or course(s) being sent in to:
A credentials database on LinkedIn (via blockchain) and/or
A credentials database at the college(s) or university(ies) that we’re signed up with for lifelong learning (via blockchain)
and/or
To update our cloud-based learning profiles — which can then feed a variety of HR-related systems used to find talent? (via blockchain)
Will participants in MOOCs, virtual K-12 schools, homeschoolers, and more take advantage of learning from home?
Will solid ROI’s from having thousands of participants paying a smaller amount (to take your course virtually) enable higher production values?
Will bots and/or human tutors be instantly accessible from our couches?
Most obviously, the speech-recognition functions on our smartphones work much better than they used to. When we use a voice command to call our spouses, we reach them now. We aren’t connected to Amtrak or an angry ex.
In fact, we are increasingly interacting with our computers by just talking to them, whether it’s Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, or the many voice-responsive features of Google. Chinese search giant Baidu says customers have tripled their use of its speech interfaces in the past 18 months.
Machine translation and other forms of language processing have also become far more convincing, with Google, Microsoft, Facebook, and Baidu unveiling new tricks every month. Google Translate now renders spoken sentences in one language into spoken sentences in another for 32 pairs of languages, while offering text translations for 103 tongues, including Cebuano, Igbo, and Zulu. Google’s Inbox app offers three ready-made replies for many incoming emails.
…
But what most people don’t realize is that all these breakthroughs are, in essence, the same breakthrough. They’ve all been made possible by a family of artificial intelligence (AI) techniques popularly known as deep learning, though most scientists still prefer to call them by their original academic designation: deep neural networks.
Even the Internet metaphor doesn’t do justice to what AI with deep learning will mean, in Ng’s view. “AI is the new electricity,” he says. “Just as 100 years ago electricity transformed industry after industry, AI will now do the same.”
Graphically speaking:
“Our sales teams are using neural nets to recommend which prospects to contact next or what kinds of product offerings to recommend.”
One way to think of what deep learning does is as “A to B mappings,” says Baidu’s Ng. “You can input an audio clip and output the transcript. That’s speech recognition.” As long as you have data to train the software, the possibilities are endless, he maintains. “You can input email, and the output could be: Is this spam or not?” Input loan applications, he says, and the output might be the likelihood a customer will repay it. Input usage patterns on a fleet of cars, and the output could advise where to send a car next.
From DSC: Here’s an idea that came to my mind the other day as I was walking by a person who was trying to put some books back onto the shelves within our library.
From DSC: Perhaps this idea is not very timely…as many collections of books will likely continue to be digitized and made available electronically. But preservation is still a goal for many libraries out there.
Today, the IoT sits at the peak of Gartner’s Hype Cycle. It’s probably not surprising that industry is abuzz with the promise of streaming sensor data. The oft quoted “50 billion connected devices by 2020!” has become a rallying cry for technology analysts, chip vendors, network providers, and other proponents of a deeply connected, communicating world. What is surprising is that academia has been relatively slow to join the parade, particularly when the potential impacts are so exciting. Like most organizations that manage significant facilities, universities stand to benefit by adopting the IoT as part of their management strategy. The IoT also affords new opportunities to improve the customer experience. For universities, this means the ability to provide new student services and improve on those already offered. Perhaps most surprisingly, the IoT represents an opportunity to better engage a diverse student base in computer science and engineering, and to amplify these programs through meaningful interdisciplinary collaboration.
…
The potential benefits of the IoT to the academic community extend beyond facilities management to improving our students’ experience. The lowest hanging fruit can be harvested by adapting some of the smart city applications that have emerged. What student hasn’t shown up late to class after circling the parking lot looking for a space? Ask any student at a major university if it would improve their campus experience to be able to check on their smart phones which parking spots were available. The answer will be a resounding “yes!” and there’s nothing futuristic about it. IoT parking management systems are commercially available through a number of vendors. This same type of technology can be adapted to enable students to find open meeting rooms, computer facilities, or café seating. What might be really exciting for students living in campus dormitories: A guarantee that they’ll never walk down three flights of stairs balancing two loads of dirty laundry to find that none of the washing machines are available. On many campuses, the washing machines are already network-connected to support electronic payment; availability reporting is a straightforward extension.
Also see:
2016 Innovators Awards | A Location-Aware App for Exploring the Library — from campustechnology.com by Meg Lloyd To help users access rich information resources on campus, the University of Oklahoma Libraries created a mobile app with location-based navigation and “hyperlocal” content.
Category: Education Futurists
Institution: University of Oklahoma
Project: OU Libraries NavApp
Project lead: Matt Cook, emerging technologies librarian
This is the week when artificially intelligent assistants start getting serious.
On Tuesday, Google is expected to announce the final details for Home, its connected speaker with the new Google Assistant built inside.
But first Amazon, which surprised everyone last year by practically inventing the AI-in-a-can platform, will release a new version of the Echo Dot, a cheaper and smaller model of the full-sized Echo that promises to put the company’s Alexa assistant in every room in your house.
The Echo Dot has all the capabilities of the original Echo, but at a much cheaper price, and with a compact form factor that’s designed to be tucked away. Because of its size (it looks like a hockey puck from the future), its sound quality isn’t as good as the Echo, but it can hook up to an external speaker through a standard audio cable or Bluetooth.
Today, we have machines that assemble cars, make candy bars, defuse bombs, and a myriad of other things. They can dispense our drinks, facilitate our bank deposits, and find the movies we want to watch with a touch of the screen.
Automation allows all kinds of amazing things, but it is all done with virtually no personality. Building a chatbot with the ability to be conversational with emotion is crucial to getting people to gain trust in the technology. And now there are plenty of tools and resources available to rapidly create and launch chatbots with the personality customers want and businesses needs.
Jordi Torras is CEO and Founder of Inbenta, a company that specializes in NLP, semantic search and chatbots to improve customer experience. We spoke to him ahead of his presentation at the Virtual Assistant Summit in San Francisco, to learn about the recent explosion of chatbots and virtual assistants, and what we can expect to see in the future.
Today, we are just beginning to scratch the surface of what is possible with artificial intelligence (A.I.) and how individuals will interact with its various forms. Every single aspect of our society — from cars to houses to products to services — will be reimagined and redesigned to incorporate A.I.
A child born in the year 2030 will not comprehend why his or her parents once had to manually turn on the lights in the living room. In the future, the smart home will seamlessly know the needs, wants, and habits of the individuals who live in the home prior to them taking an action.
Before we arrive at this future, it is helpful to take a step back and reimagine how we design cars, houses, products, and services. We are just beginning to see glimpses of this future with the Amazon Echo and Google Home smart voice assistants.
So, Seven Dreamers Laboratories, in collaboration with Panasonic and Daiwa House Industry, have created just such a machine. However, folding laundry correctly turns out to be quite a complicated task, and so an artificial intelligence was required to make it a reliable process.
Laundry folding is actually a five stage process, including:
The grabbing and spreading seems pretty easy, but then the machine needs to understand what type of clothing it needs to fold. That recognizing stage requires both image recognition and AI. The image recognition classifies the type of clothing, then the AI figures out which processes to use in order to start folding.
During a delightful “cold spell” in Austin at the end of September, a few hundred chatbot enthusiasts joined together for the first talkabot.ai conference.
As a participant both writing about and building chatbots, I’m excited to share a mix of valuable actionable insights and strategic vision directions picked up from speakers and attendees as well as behind the scenes discussions with the organizers from Howdy.
In a very congenial and collaborative atmosphere, a number of valuable recurring themes stood out from a variety of expert speakers ranging from chatbot builders to tool makers to luminaries from adjacent industries.
The way humans interact with machines is at an inflection point and conversational artificial intelligence (AI) is at the center of the transformation. Alexa, the voice service that powers Amazon Echo, enables customers to interact with the world around them in a more intuitive way using only their voice.
The Alexa Prize is an annual competition for university students dedicated to accelerating the field of conversational AI. The inaugural competition is focused on creating a socialbot, a new Alexa skill that converses coherently and engagingly with humans on popular topics and news events. Participating teams will advance several areas of conversational AI including knowledge acquisition, natural language understanding, natural language generation, context modeling, commonsense reasoning and dialog planning. Through the innovative work of students, Alexa customers will have novel, engaging conversations. And, the immediate feedback from Alexa customers will help students improve their algorithms much faster than previously possible.
… Amazon will award the winning team $500,000. Additionally, a prize of $1 million will be awarded to the winning team’s university if their socialbot achieves the grand challenge of conversing coherently and engagingly with humans on popular topics for 20 minutes.
From DSC: I have attended theNext Generation Learning Spaces Conferencefor the past two years. Both conferences were very solid and they made a significant impact on our campus, as they provided the knowledge, research, data, ideas, contacts, and the catalyst for us to move forward with building a Sandbox Classroom on campus. This new, collaborative space allows us to experiment with different pedagogies as well as technologies. As such, we’ve been able to experiment much more with active learning-based methods of teaching and learning. We’re still in Phase I of this new space, and we’re learning new things all of the time.
For the upcoming conference in February, I will be moderating a New Directions in Learning panel on the use of augmented reality (AR), virtual reality (VR), and mixed reality (MR). Time permitting, I hope that we can also address other promising, emerging technologies that are heading our way such as chatbots, personal assistants, artificial intelligence, the Internet of Things, tvOS, blockchain and more.
The goal of this quickly-moving, engaging session will be to provide a smorgasbord of ideas to generate creative, innovative, and big thinking. We need to think about how these topics, trends, and technologies relate to what our next generation learning environments might look like in the near future — and put these things on our radars if they aren’t already there.
Key takeaways for the panel discussion:
Reflections regarding the affordances that new developments in Human Computer Interaction (HCI) — such as AR, VR, and MR — might offer for our learning and our learning spaces (or is our concept of what constitutes a learning space about to significantly expand?)
An update on the state of the approaching ed tech landscape
Creative, new thinking: What might our next generation learning environments look like in 5-10 years?
I’m looking forward to catching up with friends, meeting new people, and to the solid learning that I know will happen at this conference. I encourage you to check outthe conferenceandregister soon to take advantage of the early bird discounts.
Burger, a computer chip researcher who had joined the company four years earlier, was pitching a new idea to the execs. He called it Project Catapult.
The tech world, Burger explained, was moving into a new orbit. In the future, a few giant Internet companies would operate a few giant Internet services so complex and so different from what came before that these companies would have to build a whole new architecture to run them. They would create not just the software driving these services, but the hardware, including servers and networking gear. Project Catapult would equip all of Microsoft’s servers—millions of them—with specialized chips that the company could reprogram for particular tasks.
…
Today, the programmable chips that Burger and Lu believed would transform the world—called field programmable gate arrays—are here. FPGAs already underpin Bing, and in the coming weeks, they will drive new search algorithms based on deep neural networks—artificial intelligence modeled on the structure of the human brain—executing this AI several orders of magnitude faster than ordinary chips could. As in, 23 milliseconds instead of four seconds of nothing on your screen. FPGAs also drive Azure, the company’s cloud computing service. And in the coming years, almost every new Microsoft server will include an FPGA. That’s millions of machines across the globe. “This gives us massive capacity and enormous flexibility, and the economics work,” Burger says. “This is now Microsoft’s standard, worldwide architecture.”
…
It’s a typical tangle of tech acronyms. CPUs. GPUs. TPUs. FPGAs. But it’s the subtext that matters. With cloud computing, companies like Microsoft and Google and Amazon are driving so much of the world’s technology that those alternative chips will drive the wider universe of apps and online services. Lee says that Project Catapult will allow Microsoft to continue expanding the powers of its global supercomputer until the year 2030. After that, he says, the company can move toward quantum computing.
From DSC:
The articles listed inthis PDF documentdemonstrate the exponential pace of technological change that many nations across the globe are currently experiencing and will likely be experiencing for the foreseeable future. As we are no longer on a linear trajectory, we need to consider what this new trajectory means for how we:
Educate and prepare our youth in K-12
Educate and prepare our young men and women studying within higher education
One thought that comes to mind…when we’re moving this fast, we need to be looking upwards and outwards into the horizons — constantly pulse-checking the landscapes. We can’t be looking down or be so buried in our current positions/tasks that we aren’t noticing the changes that are happening around us.
Given the sheer pace and acceleration of technological advances in recent years, business leaders can be forgiven for feeling dazed and perhaps a little frustrated. When we talked to CEOs as part of our annual Global CEO Survey, 61% of them told us they were concerned about the speed of technological change in their industries. Sure, more and more C-suite executives are genuinely tech-savvy – increasingly effective champions for their companies’ IT vision – and more and more of them know that digital disruption can be friend as well as enemy. But it’s fair to say that most struggle to find the time and energy necessary to keep up with the technologies driving transformation across every industry and in every part of the world.
Not one catalyst, but several
History is littered with companies that have waited out the Next New Thing in the belief that it’s a technology trend that won’t amount to much, or that won’t affect their industries for decades. Yet disruption happens. It’s safe to say that the history of humankind is a history of disruption – a stream of innovations that have tipped the balance in favour of the innovators. In that sense, technological breakthroughs are the original megatrend. What’s unique in the 21st century, though, is the ubiquity of technology, together with its accessibility, reach, depth, and impact.
Business leaders worldwide acknowledge these changes, and have a clear sense of their significance. CEOs don’t single out any particular catalyst that leads them to that conclusion. But we maintain that technological advancements are appearing, rapidly and simultaneously, in fields as disparate as healthcare and industrial manufacturing, because of the following concurrent factors…
From DSC: For those of us working in K-20 as well as in the corporate training/L&D space, how are we doing in getting people trained and ready to deal these developments?
Prediction 1: Mixed reality rooms will begin to replace home theater. As Eric Johnson summed up last year in Recode, “to borrow an example from Microsoft’s presentation at the gaming trade show E3, you might be looking at an ordinary table, but see an interactive virtual world from the video game Minecraft sitting on top of it. As you walk around, the virtual landscape holds its position, and when you lean in close, it gets closer in the way a real object would.” Can a “holographic” cinema experience really be that far off? With 3D sound? And Smell-O-Vision?
Prediction 13. Full-wall video with multiscreens will appear in the home. Here’s something interesting: The first three predictions in this set of 10 all have an origin in commercial applications. This one — think of it more as digital signage than sports bar — will allow the user to have access to a wall that includes a weather app, a Twitter feed, a Facebook page, the latest episode of Chopped, a Cubs game, and literally anything else a member — or members — of the family are interested in. The unintended consequences: some 13-year-old will one day actually utter the phrase, “MOM! Can you minimize your Snapchat already!?!”
Prediction 22: Intelligent glass will be used as a control interface, entertainment platform, comfort control, and communication screen. Gordon van Zuiden says, “We live in a world of touch, glass-based icons. Obviously the phone is the preeminent example — what if all the glass that’s around you in the house could have some level of projection so that shower doors, windows, and mirrors could be practical interfaces?” Extend that smart concept to surfaces that don’t just respond to touch, but to gesture and voice — and now extend that to surfaces outside the home.
Prediction 28: User-programmable platforms based on interoperable systems will be the new control and integration paradigm. YOU: “Alexa, please find Casablanca on Apple TV and send it to my Android phone. And order up a pizza.”
Prediction 34. Consumer sensors will increase in sensitivity and function. The Internet of Things will become a lot like Santa: “IoT sees you when you’re sleeping/IoT knows when you’re awake/IoT knows if you’ve been bad or good…”
Prediction 47. Policy and technology will drive the security concerns over internet and voice connected devices. “When you add the complexity of ‘always on, always listening’ connected devices … keeping the consumer’s best interests in mind might not always be top of mind for corporations [producing these devices],” notes Maniscalco. “[A corporation’s] interest is usually in profits.” Maniscalco believes that a consumer push for legislation on the dissemination of the information a company can collect will be the “spark that ignites true security and privacy for the consumer.”
Prediction 53. The flexible use of the light socket: Lighting becomes more than lighting. Think about the amount of coverage — powered coverage — that the footprint of a home’s network of light sockets provides. Mike Maniscalco of Ihiji has: “You can use that coverage and power to do really interesting things, like integrate sensors into the lighting. Track humidity, people’s movements, change patterns based on what’s happening in that room.”
Prediction 64. Voice and face recognition and authentication services become more ubiquitous. Yes, your front door will recognize your face — other people’s, too. “Joe Smith comes to your door, you get a text message without having to capture video, so that’s a convenience,” notes Jacobson.
IdioT InTo IoT — from a2apple.com by Michael Moe, Luben Pampoulov, Li Jiang, Nick Franco, Suzee Han, Michael Bartimer
Excerpt (emphasis DSC):
But an interesting twist to Negroponte’s paradigm is emerging. As we embed chips in physical devices to make them “smart,” bits and atoms are co-mingling in compelling ways. Collectively called the Internet of Things (IoT), connected devices are appearing in our homes, on the highway, in manufacturing plants, and on our wrists. Estimates vary widely but IDC has predicted that the IoT market will surpass $1.7 trillion by 2020.
Here again, Amazon’s arc is instructive. Its “Echo” smart speaker, powered by a digital assistant, “Alexa”, has sold over three million units in a little over a year. Echo enables users to play music with voice commands, as well as manage other integrated home systems, including lights, fans, door locks, and thermostats.
![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)
