From DSC: Note this new type of Human Computer Interaction (HCI). I think that we’ll likely be seeing much more of this sort of thing.
Excerpt (emphasis DSC):
How is Hayo different?
AR that connects the magical and the functional:
Unlike most AR integrations, Hayo removes the screens from smarthome use and transforms the objects and spaces around you into a set of virtual remote controls.Hayo empowers you to create experiences that have previously been limited by the technology, but now are only limited by your imagination.
Screenless IoT:
The best interface is no interface at all. Aside from the one-time setup Hayo does not use any screens. Your real-life surfaces become the interface and you, the user, become the controls. Virtual remote controls can be placed wherever you want for whatever you need by simply using your Hayo device to take a 3D scan of your space.
Smarter AR experience:
Hayo anticipates your unique context, passive motion and gestures to create useful and more unique controls for the connected home. The Hayo system learns your behaviors and uses its AI to help meet your needs.
This is an invitation to collaborate. In particular, it is an invitation to collaborate in framing how we look at and develop machine intelligence. Even more specifically, it is an invitation to collaborate in the construction of a Periodic Table of AI.
Let’s be honest. Thinking about Artificial Intelligence has proven to be difficult for us. We argue constantly about what is and is not AI. We certainly cannot agree on how to test for it. We have difficultly deciding what technologies should be included within it. And we struggle with how to evaluate it.
Even so, we are looking at a future in which intelligent technologies are becoming commonplace.
…
With that in mind, we propose an approach to viewing machine intelligence from the perspective of its functional components. Rather than argue about the technologies behind them, the focus should be on the functional elements that make up intelligence. By stepping away from howthese elements are implemented, we can talk about whatthey are and their roles within larger systems.
Also see this article, which contains the graphic below:
From DSC: These graphics are helpful to me, as they increase my understanding of some of the complexities involved within the realm of artificial intelligence.
AREA: How would you describe the opportunity for Augmented Reality in 2017? SAM MURLEY: I think it’s huge — almost unprecedented — and I believe the tipping point will happen sometime this year. This tipping point has been primed over the past 12 to 18 months with large investments in new startups, successful pilots in the enterprise, and increasing business opportunities for providers and integrators of Augmented Reality. During this time, we have witnessed examples of proven implementations – small scale pilots, larger scale pilots, and companies rolling out AR in production — and we should expect this to continue to increase in 2017. You can also expect to see continued growth of assisted reality devices, scalable for industrial use cases such as manufacturing, industrial, and services industries as well as new adoption of mixed reality and augmented reality devices, spatially-aware and consumer focused for automotive, consumer, retail, gaming, and education use cases. We’ll see new software providers emerge, existing companies taking the lead, key improvements in smart eyewear optics and usability, and a few strategic partnerships will probably form.
AREA: Do you have visibility into all the different AR pilots or programs that are going on at GE? SAM MURLEY:
…
At the 2016 GE Minds + Machines conference, our Vice President of GE Software Research, Colin Parris, showed off how the Microsoft HoloLens could help the company “talk” to machines and service malfunctioning equipment. It was a perfect example of how Augmented Reality will change the future of work, giving our customers the ability to talk directly to a Digital Twin — a virtual model of that physical asset — and ask it questions about recent performance, anomalies, potential issues and receive answers back using natural language. We will see Digital Twins of many assets, from jet engines to or compressors. Digital Twins are powerful – they allow tweaking and changing aspects of your asset in order to see how it will perform, prior to deploying in the field. GE’s Predix, the operating system for the industrial Internet, makes this cutting-edge methodology possible. “What you saw was an example of the human mind working with the mind of a machine,” said Parris. With Augmented Reality, we are able to empower the workforce with tools that increase productivity, reduce downtime, and tap into the Digital Thread and Predix. With Artificial Intelligence and Machine Learning, Augmented Reality quickly allows language to be the next interface between the Connected Workforce and the Internet of Things (IoT). No keyboard or screen needed.
From DSC: I also believe that the tipping point will happen sometime this year. I hadn’t heard of the concept of a Digital Twin — but I sense that we’ll be hearing that more often in the future.
With Artificial Intelligence and Machine Learning, Augmented Reality quickly allows language to be the next interface between the Connected Workforce and the Internet of Things (IoT). No keyboard or screen needed.
From DSC:
I then saw the concept of the “Digital Twin” again out at:
Breaking through the screen — from medium.com by Evan Helda Excerpt (emphasis DSC ):
Within the world of the enterprise, this concept of a simultaneous existence of “things” virtually and physically has been around for a while. It is known as the “digital twin”, or sometimes referred to as the “digital tapestry” (will cover this topic in a later post). Well, thanks to the internet and ubiquity of sensors today, almost every “thing” now has a “digital twin”, if you will. These “things” will embody this co-existence, existing in a sense virtually and physically, and all connected in a myriad of ways. The outcome at maturity is something we’ve yet to fully comprehend.
Fifty years since the inception of CES, “consumer electronics” doesn’t begin to describe the full scope of the event.
“It’s no longer a technology show; it’s a connected life show and an advertising and media show,” said Shawn DuBravac of CTA, the trade organization that organizes CES. And it changes quickly: three years ago, he said, 20% of this year’s exhibitors didn’t exist.
This year, among big tech companies Amazon was the clear winner—though Amazon itself kept a low profile, letting others announce a multitude of new uses for Alexa, its virtual assistant.
Electric and self-driving cars were everywhere. Taking a page from Apple and Microsoft, which pulled out of CES years ago, Tesla sat out the conference as rival auto makers tried to mount convincing challenges to its dominance of the electric car market.
What about exciting new “gadgets”? Farhad Manjoo of the New York Times declared them “gone” in December, killed by the iPhone and cheap knockoffs. Category-changing devices were in short supply at the show, and Alexa, this year’s most talked-about product, was actually an invisible service.
But there were signs that Internet of Things products that had once been isolated were talking to each other in interesting new ways. And devices aimed at specific needs and populations—from new mothers to vacationers to the disabled—showed that gadgets might not be done for just yet.
Addendum:
Tech Stock Roundup: AR/VR and Self Driving Cars Dominate CES— from zacks.com by Sejuti Banerjea
Excerpt:
As most of us were expecting, the show was dominated by virtual/augmented reality (VR/AR) and self driving cars, two areas where new technology was showcased and important collaborations announced. Some other developments involved Amazon’s Alexa, 5G technology from Intel and Qualcomm and robots from Panasonic and Honda.
5 Online Education Trends to Watch in 2017 — from usnews.com by Jordan Friedman Experts predict more online programs will offer alternative credentials and degrees in specialized fields.
Excerpts:
Greater emphasis on nontraditional credentials
Increased use of big data to measure student performance
Greater incorporation of artificial intelligence into classes
Growth of nonprofit online programs
Online degrees in surprising and specialized disciplines
I became a Strava user in 2013, around the same time I became an online course designer. Quickly I found that even as I logged runs on Strava daily, I struggled to find the time to log into platforms like Coursera, Udemy or Udacity to finish courses produced by my fellow instructional designers. What was happening? Why was the fitness app so “sticky” as opposed to the online learning platforms?
As a thought experiment, I tried to recast my Strava experience in pedagogical terms. I realized that I was recording hours of deliberate practice (my early morning runs), formative assessments (the occasional speed workout on the track) and even a few summative assessments (races) on the app. Strava was motivating my consistent use by overlaying a digital grid on my existing offline activities. It let me reconnect with college teammates who could keep me motivated. It enabled me to analyze the results of my efforts and compare them to others. I didn’t have to be trapped behind a computer to benefit from this form of digital engagement—yet it was giving me personalized feedback and results. How could we apply the same practices to learning?
I’ve come to believe that one of the biggest misunderstandings about online learning is that it has to be limited to things that can be done in front of a computer screen. Instead, we need to reimagine online courses as something that can enable the interplay between offline activities and digital augmentation.
A few companies are heading that way. Edthena enables teachers to record videos of themselves teaching and then upload these to the platform to get feedback from mentors.
DIY’s JAM online courses let kids complete hands-on activities like drawing or building with LEGOs and then has them upload pictures of their work to earn badges and share their projects.
My team at +Acumen has built online courses that let teams complete projects together offline and then upload their prototypes to the NovoEd platform to receive feedback from peers. University campuses are integrating Kaltura into their LMS platforms to enable students to capture and upload videos.
We need to focus less on building multiple choice quizzes or slick lecture videos and more on finding ways to robustly capture evidence of offline learning that can be validated and critiqued at scale by peers and experts online.
A hybrid of both AR & VR, Mixed Reality (MR) is far more advanced than Virtual Reality because it combines the use of several types of technologies including sensors, advanced optics and next gen computing power. All of this technology bundled into a single device will provide the user with the capability to overlay augmented holographic digital content into your real-time space, creating scenarios that are unbelievably realistic and mind-blowing.
How does it work?
Mixed Reality works by scanning your physical environment and creating a 3D map of your surroundings so the device will know exactly where and how to place digital content into that space – realistically – while allowing you to interact with it using gestures. Much different than Virtual Reality where the user is immersed in a totally different world, Mixed Reality experiences invite digital content into your real-time surroundings, allowing you to interact with them.
Mixed reality use cases mentioned in the article included:
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.
Alexa, Tell Me Where You’re Going Next— from backchannel.com by Steven Levy Amazon’s VP of Alexa talks about machine learning, chatbots, and whether industry is strip-mining AI talent from academia.
Excerpt:
Today Prasad is giving an Alexa “State of the Union” address at the Amazon Web Services conference in Las Vegas, announcing an improved version of the Alexa Skills Kit, which helps developers create the equivalent of apps for the platform; a beefed-up Alexa Voice Service, which will make it easier to transform third-party devices like refrigerators and cars into Alexa bots; a partnership with Intel; and the Alexa Accelerator that, with the startup incubator Techstars, will run a 13-week program to help newcomers build Alexa skills. Prasad and Amazon haven’t revealed sales numbers, but industry experts have estimated that Amazon has sold over five million Echo devices so far.
Prasad, who joined Amazon in 2013, spent some time with Backchannel before his talk today to illuminate the direction of Alexa and discuss how he’s recruiting for Jeff Bezos’s arsenal without drying up the AI pipeline.
What DeepMind brings to Alphabet — from economist.com The AI firm’s main value to Alphabet is as a new kind of algorithm factory
Excerpt:
DeepMind’s horizons stretch far beyond talent capture and public attention, however. Demis Hassabis, its CEO and one of its co-founders, describes the company as a new kind of research organisation, combining the long-term outlook of academia with “the energy and focus of a technology startup”—to say nothing of Alphabet’s cash.
…
Were he to succeed in creating a general-purpose AI, that would obviously be enormously valuable to Alphabet. It would in effect give the firm a digital employee that could be copied over and over again in service of multiple problems. Yet DeepMind’s research agenda is not—or not yet—the same thing as a business model. And its time frames are extremely long.
Silicon Valley needs its next big thing, a focus for the concentrated brain power and innovation infrastructure that have made this region the world leader in transformative technology. Just as the valley’s mobile era is peaking, the next frontier of growth and innovation has arrived: It’s Siri in an Apple iPhone, Alexa in an Amazon Echo, the software brain in Google’s self-driving cars, Amazon’s product recommendations and, someday, maybe the robot surgeon that saves your life.
It’s artificial intelligence, software that can “learn” and “think,” the latest revolution in tech.
“It’s going to be embedded in everything,” said startup guru Steve Blank, an adjunct professor at Stanford. “We’ve been talking about artificial intelligence for 30 years, maybe longer, in Silicon Valley. It’s only in the last five years, or maybe even the last two years, that this stuff has become useful.”
Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. They are not quite the same thing, but the perception that they are can sometimes lead to some confusion. So I thought it would be worth writing a piece to explain the difference.
…
In short, the best answer is that:
Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”.
And,
Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
Yet, the truth is, we are far from achieving true AI — something that is as reactive, dynamic, self-improving and powerful as human intelligence.
…
Full AI, or superintelligence, should possess the full range of human cognitive abilities. This includes self-awareness, sentience and consciousness, as these are all features of human cognition.
Udacity is positioned perfectly to benefit from the rush on talent in a number of growing areas of interest among tech companies and startups. The online education platform has added 14 new hiring partners across its Artificial Intelligence Engineer, Self-Driving Car Engineer and Virtual Reality Developer Nanodegree programs, as well as in its Predictive Analytics Nanodegree, including standouts like Bosch, Harma, Slack, Intel, Amazon Alexa and Samsung.
That brings the total number of hiring partners for Udacity to over 30, which means a lot of potential soft landings for graduates of its nanodegree programs. The nanodegree offered by Udacity is its own original form of accreditation, which is based on a truncated field of study that spans months, rather than years, and allows students to direct the pace of their own learning. It also all takes place online, so students can potentially learn from anywhere.
The Great A.I. Awakening — from nytimes.com by Gideo Lewis-Kraus How Google used artificial intelligence to transform Google Translate, one of its more popular services — and how machine learning is poised to reinvent computing itself.
Excerpt:
Google’s decision to reorganize itself around A.I. was the first major manifestation of what has become an industrywide machine-learning delirium. Over the past four years, six companies in particular — Google, Facebook, Apple, Amazon, Microsoft and the Chinese firm Baidu — have touched off an arms race for A.I. talent, particularly within universities. Corporate promises of resources and freedom have thinned out top academic departments. It has become widely known in Silicon Valley that Mark Zuckerberg, chief executive of Facebook, personally oversees, with phone calls and video-chat blandishments, his company’s overtures to the most desirable graduate students. Starting salaries of seven figures are not unheard-of. Attendance at the field’s most important academic conference has nearly quadrupled. What is at stake is not just one more piecemeal innovation but control over what very well could represent an entirely new computational platform: pervasive, ambient artificial intelligence.
On [December 12th, 2016], Microsoft announced a new Microsoft Ventures fund dedicated to artificial intelligence (AI) investments, according to TechCrunch. The fund, part of the company’s investment arm that launched in May, will back startups developing AI technology and includes Element AI, a Montreal-based incubator that helps other companies embrace AI. The fund further supports Microsoft’s focus on AI. The company has been steadily announcing major initiatives in support of the technology. For example, in September, it announced a major restructuring and formed a new group dedicated to AI products. And in mid-November, it partnered with OpenAI, an AI research nonprofit backed by Elon Musk, to further its AI research and development efforts.
Whether Artificial Intelligence (AI) is something you’ve just come across or it’s something you’ve been monitoring for a while, there’s no denying that it’s starting to influence many industries. And one place that it’s really starting to change things is e-commerce. Below you’ll find some interesting stats and facts about how AI is growing in e-commerce and how it’s changing the way we do things. From personalizing the shopping experience for customers to creating personal buying assistants, AI is something retailers can’t ignore. We’ll also take a look at some examples of how leading online stores have used AI to enrich the customer buying experience.
Only 26 percent of computer professionals were women in 2013, according to a recent review by the American Association of University Women. That figure has dropped 9 percent since 1990.
Explanations abound. Some say the industry is masculine by design. Others claim computer culture is unwelcoming — even hostile — to women. So, while STEM fields like biology, chemistry, and engineering see an increase in diversity, computing does not. Regardless, it’s a serious problem.
Artificial intelligence is still in its infancy, but it’s poised to become the most disruptive technology since the Internet. AI will be everywhere — in your phone, in your fridge, in your Ford. Intelligent algorithms already track your online activity, find your face in Facebook photos, and help you with your finances. Within the next few decades they’ll completely control your car and monitor your heart health. An AI may one day even be your favorite artist.
The programs written today will inform the systems built tomorrow. And if designers all have one worldview, we can expect equally narrow-minded machines.
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?
From DSC: After seeing the sharp interface out atAdobe (see image below), I’ve often thought that there should exist a similar interface and a similar database for educators, trainers, and learners to use — but the database would address a far greater breadth of topics to teach and/or learn about. You could even select beginner, intermediate, or advanced levels (grade levels might work here as well).
Perhaps this is where artificial intelligence will come in…not sure.
Today, we’re at the Windows Hardware Engineering Community event (WinHEC) in Shenzhen, China –where our OEM partners have created more than 300 Windows devices shipping in 75 countries generating more than 8 billion RMB in revenue for Shenzhen partners. We continue this journey with Intel, Qualcomm and hardware engineering creators from around the world. Together, we will build the next generation of modern PCs supporting mixed reality, gaming, advanced security, and artificial intelligence; make mixed reality mainstream; and introduce always-connected, more power efficient cellular PCs running Windows 10.
Nearly 140 private companies working to advance artificial intelligence technologies have been acquired since 2011, with over 40 acquisitions taking place in 2016 alone. Corporate giants like Google, IBM, Yahoo, Intel, Apple and Salesforce, are competing in the race to acquire private AI companies, with Samsung emerging as a new entrant in October with its acquisition of startup Viv Labs, which is developing a Siri-like AI assistant, and GE making 2 AI acquisitions in November.
From DSC: In the future, I’d like to see holograms provide stunning visual centerpieces for the entrance ways into libraries, or in our classrooms, or in our art galleries, recital halls, and more. The object(s), person(s), scene(s) could change into something else, providing a visually engaging experience that sets a tone for that space, time, and/or event.
Eventually, perhaps these types of technologies/setups will even be a way to display artwork within our homes and apartments.
From DSC: When I saw the article below, I couldn’t help but wonder…what are the teaching & learning-related ramifications when new “skills” are constantly being added to devices like Amazon’s Alexa?
What does it mean for:
Students / learners
Faculty members
Teachers
Trainers
Instructional Designers
Interaction Designers
User Experience Designers
Curriculum Developers
…and others?
Will the capabilities found in Alexa simply come bundled as a part of the “connected/smart TV’s” of the future? Hmm….
Amazon’s Alexa has gained many skills over the past year, such as being able to read tweets or deliver election results and fantasy football scores. Starting on Wednesday, you’ll be able to ask Alexa about Mars.
The new skill for the voice-controlled speaker comes courtesy of NASA’s Jet Propulsion Laboratory. It’s the first Alexa app from the space agency.
Tom Soderstrom, the chief technology officer at NASA’s Jet Propulsion Laboratory was on hand at the AWS re:invent conference in Las Vegas tonight to make the announcement.
Amazon today announced three new artificial intelligence-related toolkits for developers building apps on Amazon Web Services
At the company’s AWS re:invent conference in Las Vegas, Amazon showed how developers can use three new services — Amazon Lex, Amazon Polly, Amazon Rekognition — to build artificial intelligence features into apps for platforms like Slack, Facebook Messenger, ZenDesk, and others.
The idea is to let developers utilize the machine learning algorithms and technology that Amazon has already created for its own processes and services like Alexa.Instead of developing their own AI software, AWS customers can simply use an API call or the AWS Management Console to incorporate AI features into their own apps.
AWS Announces Three New Amazon AI Services Amazon Lex, the technology that powers Amazon Alexa, enables any developer to build rich, conversational user experiences for web, mobile, and connected device apps; preview starts today
Amazon Polly transforms text into lifelike speech, enabling apps to talk with 47 lifelike voices in 24 languages
Amazon Rekognition makes it easy to add image analysis to applications, using powerful deep learning-based image and face recognition
Capital One, Motorola Solutions, SmugMug, American Heart Association, NASA, HubSpot, Redfin, Ohio Health, DuoLingo, Royal National Institute of Blind People, LingApps, GoAnimate, and Coursera are among the many customers using these Amazon AI Services
Excerpt:
SEATTLE–(BUSINESS WIRE)–Nov. 30, 2016– Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced three Artificial Intelligence (AI) services that make it easy for any developer to build apps that can understand natural language, turn text into lifelike speech, have conversations using voice or text, analyze images, and recognize faces, objects, and scenes. Amazon Lex, Amazon Polly, and Amazon Rekognition are based on the same proven, highly scalable Amazon technology built by the thousands of deep learning and machine learning experts across the company. Amazon AI services all provide high-quality, high-accuracy AI capabilities that are scalable and cost-effective. Amazon AI services are fully managed services so there are no deep learning algorithms to build, no machine learning models to train, and no up-front commitments or infrastructure investments required. This frees developers to focus on defining and building an entirely new generation of apps that can see, hear, speak, understand, and interact with the world around them.
From DSC:
(With thanks to Woontack Woo for his posting this via his paper.li entitled “#AR #CAMAR for Ubiquitous VR”)
Check this out!
On December 3rd, the Legend of Sword opera comes to Australia — but this is no ordinary opera! It is a “holographic sensational experience!” Set designers and those involved with drama will need to check this out. This could easily be the future of set design!
But not only that, let’s move this same concept over to the world of learning. What might augmented reality do for how our learning spaces look and act like in the future? What new affordances and experiences could they provide for us? This needs to be on our radars.
Legend of Sword 1 is a holographic sensational experience that has finished its 2nd tour in China. A Chinese legend of the ages to amaze and ignite your imagination. First time ever such a visual spectacular stage in Australia on Sat 3rd Dec only. Performed in Chinese with English subtitles.
Legend of Sword and Fairy 1 is based on a hit video game in China. Through the hardworking of the renowned production team, the performance illustrates the beautiful fantasy of game on stage, and allow the audience feel like placing themselves in the eastern fairy world. With the special effects with the olfactory experience, and that actors performing and interact with audience at close distance, the eastern fairy world is realised on stage. It is not only a play with beautiful scenes, but also full of elements from oriental style adventure. The theatre experience will offer much more than a show, but the excitement of love and adventure.
Legend of Sword and Fairy 1 was premiered in April 2015 at Shanghai Cultural Plaza, which set off a frenzy of magic in Shanghai, relying on the perfect visual and 5D all-round sensual experience. Because of the fantasy theme that matches with top visual presentation, Legend of Sword and Fairy 1 became the hot topic in Shanghai immediately. With only just 10 performances at the time, its Weibo topic hits have already exceeded 100 million mark halfway.
So far, Legend of Sword and Fairy 1 has finished its second tour in a number of cities in China, including Beijing, Chongqing, Chengdu, Nanjing, Xiamen, Qingdao, Shenyang, Dalian, Wuxi, Ningbo, Wenzhou, Xi’an, Shenzhen, Dongguan, Huizhou, Zhengzhou, Lishui, Ma’anshan, Kunshan, Changzhou etc.
The headlines for Pokémon GO were initially shocking, but by now they’re familiar: as many as 21 million active daily users, 700,000 downloads per day, $5.7 million in-app purchases per day, $200 million earned as of August. Analysts anticipate the game will garner several billion dollars in ad revenue over the next year. By almost any measure, Pokémon GO is huge.
The technologies behind the game, augmented and virtual reality (AVR), are huge too. Many financial analysts expect the technology to generate $150 billion over the next three years, outpacing even smartphones with unprecedented growth, much of it in entertainment. But AVR is not only about entertainment. In August 2015, Teegan Lexcen was born in Florida with only half a heart and needed surgery. With current cardiac imaging software insufficient to assist with such a delicate operation on an infant, surgeons at Nicklaus Children’s Hospital in Miami turned to 3D imaging software and a $20 Google Cardboard VR set. They used a cellphone to peer into the baby’s heart, saw exactly how to improve her situation and performed the successful surgery in December 2015.
“I could see the whole heart. I could see the chest wall,” Dr. Redmond Burke told Today. “I could see all the things I was worried about in creating an operation.”
Texas Tech University Health Sciences Center in Lubbock and San Diego State University are both part of a Pearson mixed reality pilot aimed at leveraging mixed reality to solve challenges in nursing education.
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At Bryn Mawr College, a women’s liberal arts college in Pennsylvania, faculty, students, and staff are exploring various educational applications for the HoloLens mixed reality devices. They are testing Skype for HoloLens to connect students with tutors in Pearson’s 24/7 online tutoring service, Smarthinking.
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At Canberra Grammar School in Australia, Pearson is working with teachers in a variety of disciplines to develop holograms for use in their classrooms. The University of Canberra is partnering with Pearson to provide support for the project and evaluate the impact these holograms have on teaching and learning.
As fantastic as technologies like augmented and mixed reality may be, experiencing them, much less creating them, requires a sizable investment, financially speaking. It is just beyond the reach of consumers as well as your garage-type indie developer. AR and VR startup Zappar, however, wants to smash that perception. With ZapBox, you can grab a kit for less than a triple-A video game to start your journey towards mixed reality fun and fame. It’s Magic Leap meets Google Cardboard. Or as Zappar itself says, making Magic Leap, magic cheap!
![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)
