AI chatbot apps to infiltrate businesses sooner than you think — from searchbusinessanalytics.techtarget.com by Bridget Botelho Artificial intelligence chatbots aren’t the norm yet, but within the next five years, there’s a good chance the sales person emailing you won’t be a person at all.
Excerpt:
In fact, artificial intelligence has come so far so fast in recent years, Gartner predicts it will be pervasive in all new products by 2020, with technologies including natural language capabilities, deep neural networks and conversational capabilities.
Other analysts share that expectation. Technologies that encompass the umbrella term artificial intelligence — including image recognition, machine learning, AI chatbots and speech recognition — will soon be ubiquitous in business applications as developers gain access to it through platforms such as the IBM Watson Conversation API and the Google Cloud Natural Language API.
Facebook introduced chatbots on Messenger three months ago, and the search giant has shared today that over 11,000 bots are active on the messaging service. The Messenger Platform has picked up an update that adds a slew of new features to bots, such as a persistent menu that lists a bot’s commands, quick replies, ability to respond with GIFs, audio, video, and other files, and a rating system to provide feedback to bot developers.
In another example, many businesses use interactive voice response (IVR) telephony systems, which have limited functionalities and often provide a poor user experience. Chatbots can replace these applications in future where the user will interact naturally to get relevant information without following certain steps or waiting for a logical sequence to occur.
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Chatbots are a good starting point, but the future lies in more advanced versions of audio and video bots. Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana, Google with its voice assistance, are working in the same direction to achieve it. Bot ecosystems will become even more relevant in the phase of IoT mass adoption and improvement of input/output (I/O) technology.
With big players investing heavily in AI, Chatbots are likely to be an increasing feature of social media and other communications platforms.
Chatbots are software programs that use messaging platforms as the interface to perform a wide variety of tasks—everything from scheduling a meeting to reporting the weather, to helping a customer buy a sweater.
Because texting is the heart of the mobile experience for smartphone users, chatbots are a natural way to turn something users are very familiar with into a rewarding service or marketing opportunity.
And when you consider that the top 4 messaging apps reach over 3 billion global users (MORE than the top 4 social networks), you can see that the opportunity is huge.
The Xiaoice chat bot — pronounced “Shao-ice” and translated as “little Bing” — born as an experiment by Microsoft Research in 2014, reaches 40 million followers in China, who often literally talk with her for hours.
At her most active, Xiaoice is holding down as many 23 conversations a session, says Microsoft Research NExT leader Dr. Peter Lee. It’s even evolved to become a nice little sideline business for Microsoft, thanks to a partnership with Chinese e-retailer JD.com that lets users buy products by talking to Xiaoice.
The reason Xiaoice is so successful is she was born of a different kind of philosophical experiment: Instead of building a chat bot that was useful, Microsoft simply tried to make it fun to talk to.
Regarding the new Mirror product from Estimote — i.e., the world’s 1st video-enabled beacon — what might the applications look like for active learning classrooms (ALCs)?
That is, could students pre-load their content, then come into an active learning classroom and, upon request, launch an app which would then present their content to the nearest display?
Today we want to move contextual computing to a completely new level. We are happy to announce our newest product: Estimote Mirror. It’s the world’s first video-enabled beacon. Estimote Mirror can not only communicate with nearby phones and their corresponding apps, but also take content from these apps and display it on any digital screen around you.
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.
From DSC: The pace of technological development is moving extremely fast; the ethical, legal, and moral questions are trailing behind it (as is normally the case). But this exponential pace continues to bring some questions, concerns, and thoughts to my mind. For example:
What kind of future do we want?
Just because we can, should we?
Who is going to be able to weigh in on the future direction of some of these developments?
If we follow the trajectories of some of these pathways, where will these trajectories take us? For example, if many people are out of work, how are they going to purchase the products and services that the robots are building?
These and other questions arise when you look at the articles below.
This is the 8th part of a series of postings regarding this matter.
The other postings are in the Ethics section.
What would your ideal robot be like? One that can change nappies and tell bedtime stories to your child? Perhaps you’d prefer a butler that can polish silver and mix the perfect cocktail? Or maybe you’d prefer a companion that just happened to be a robot? Certainly, some see robots as a hypothetical future replacement for human carers. But a question roboticists are asking is: how human should these future robot companions be?
A companion robot is one that is capable of providing useful assistance in a socially acceptable manner. This means that a robot companion’s first goal is to assist humans. Robot companions are mainly developed to help people with special needs such as older people, autistic children or the disabled. They usually aim to help in a specific environment: a house, a care home or a hospital.
The next president will have a range of issues on their plate, from how to deal with growing tensions with China and Russia, to an ongoing war against ISIS. But perhaps the most important decision they will make for overall human history is what to do about autonomous weapons systems (AWS), aka “killer robots.” The new president will literally have no choice. It is not just that the technology is rapidly advancing, but because of a ticking time bomb buried in US policy on the issue.
It sounds like a line from a science fiction novel, but many of us are already managed by algorithms, at least for part of our days. In the future, most of us will be managed by algorithms and the vast majority of us will collaborate daily with intelligent technologies including robots, autonomous machines and algorithms.
Algorithms for task management
Many workers at UPS are already managed by algorithms. It is an algorithm that tells the humans the optimal way to pack the back of the delivery truck with packages. The algorithm essentially plays a game of “temporal Tetris” with the parcels and packs them to optimize for space and for the planned delivery route–packages that are delivered first are towards the front, packages for the end of the route are placed at the back.
The Enterprisers Project (TEP): Machines are genderless, have no race, and are in and of themselves free of bias. How does bias creep in?
Sharp: To understand how bias creeps in you first need to understand the difference between programming in the traditional sense and machine learning. With programming in the traditional sense, a programmer analyses a problem and comes up with an algorithm to solve it (basically an explicit sequence of rules and steps). The algorithm is then coded up, and the computer executes the programmer’s defined rules accordingly.
With machine learning, it’s a bit different. Programmers don’t solve a problem directly by analyzing it and coming up with their rules. Instead, they just give the computer access to an extensive real-world dataset related to the problem they want to solve. The computer then figures out how best to solve the problem by itself.
In his latest book ‘Technology vs. Humanity’, futurist Gerd Leonhard once again breaks new ground by bringing together mankind’s urge to upgrade and automate everything (including human biology itself) with our timeless quest for freedom and happiness.
Before it’s too late, we must stop and ask the big questions:How do we embrace technology without becoming it? When it happens—gradually, then suddenly—the machine era will create the greatest watershed in human life on Earth.
Digital transformation has migrated from the mainframe to the desktop to the laptop to the smartphone, wearables and brain-computer interfaces. Before it moves to the implant and the ingestible insert, Gerd Leonhard makes a last-minute clarion call for an honest debate and a more philosophical exchange.
Technological innovation in fields from genetic engineering to cyberwarfare is accelerating at a breakneck pace, but ethical deliberation over its implications has lagged behind. Thus argues Sheila Jasanoff — who works at the nexus of science, law and policy — in The Ethics of Invention, her fresh investigation. Not only are our deliberative institutions inadequate to the task of oversight, she contends, but we fail to recognize the full ethical dimensions of technology policy. She prescribes a fundamental reboot.
Ethics in innovation has been given short shrift, Jasanoff says, owing in part to technological determinism, a semi-conscious belief that innovation is intrinsically good and that the frontiers of technology should be pushed as far as possible. This view has been bolstered by the fact that many technological advances have yielded financial profit in the short term, even if, like the ozone-depleting chlorofluorocarbons once used as refrigerants, they have proved problematic or ruinous in the longer term.
Machine learning Of prediction and policy — from economist.com Governments have much to gain from applying algorithms to public policy, but controversies loom
Excerpt:
FOR frazzled teachers struggling to decide what to watch on an evening off (DC insert: a rare event indeed), help is at hand. An online streaming service’s software predicts what they might enjoy, based on the past choices of similar people. When those same teachers try to work out which children are most at risk of dropping out of school, they get no such aid. But, as Sendhil Mullainathan of Harvard University notes, these types of problem are alike. They require predictions based, implicitly or explicitly, on lots of data. Many areas of policy, he suggests, could do with a dose of machine learning.
Machine-learning systems excel at prediction. A common approach is to train a system by showing it a vast quantity of data on, say, students and their achievements. The software chews through the examples and learns which characteristics are most helpful in predicting whether a student will drop out. Once trained, it can study a different group and accurately pick those at risk. By helping to allocate scarce public funds more accurately, machine learning could save governments significant sums. According to Stephen Goldsmith, a professor at Harvard and a former mayor of Indianapolis, it could also transform almost every sector of public policy.
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But the case for code is not always clear-cut. Many American judges are given “risk assessments”, generated by software, which predict the likelihood of a person committing another crime. These are used in bail, parole and (most controversially) sentencing decisions. But this year ProPublica, an investigative-journalism group, concluded that in Broward County, Florida, an algorithm wrongly labelled black people as future criminals nearly twice as often as whites. (Northpointe, the algorithm provider, disputes the finding.)
Who will own the robots?— from technologyreview.com by David Rotman We’re in the midst of a jobs crisis, and rapid advances in AI and other technologies may be one culprit. How can we get better at sharing the wealth that technology creates
Virtual reality: The hype, the problems and the promise — from bbc.com by Tim Maughan It’s the technology that is supposed to be 2016’s big thing, but what iteration of VR will actually catch on, and what’s just a fad? Tim Maughan takes an in-depth look.
Excerpt:
For Zec this is one of VR’s most promising potentials – to be able to drop audiences into a situation and force them to react emotionally, in ways that traditional filmmaking or journalism might struggle to do. “We really cannot understand what the people [in Syria and other places] right now are going through, so I thought maybe if we put the viewer inside the shoes of the family, or near them, maybe they can feel more and understand more rather than just reading a headline in a newspaper.”
The aim of Blackout is to challenge assumptions New Yorkers might have about the people around them, by allowing them to tap directly into their thoughts. “You’re given the ability to pick into people’s minds and their motives,” says co-creator Alex Porter. “Through that process you start to realise the ways in which you were wrong about all the people around you, and start to find these kind of exciting stories that they have to tell.”
From DSC: Virtual Reality could have a significant impact in diversity training. (I don’t like the word diversity too much; as in my experience, everybody in the Fortune 5oo companies where I worked belonged in the realm of diversity except for Christians, but I’ll use it here anyway.)
The point is…when you can put yourself into someone else’s shoes, it could have some positive impact in terms of better being able to relate to what that person is going through.
What if there was a new way to start this journey? What if you walked into the room and boarded a starship instead? What would a school experience be like if we sent our students on a mission, joining a global team to learn and solve our world’s most pressing problems? What if they met in Virtual Reality? For example, literally experiencing the streets of Paris if they were studying French culture or urban planning. Examining first hand the geology of volcanoes or building the next generation transportation? What would happen if they are given a problem they could not answer on their own, a problem that requires collaboration and teamwork with colleagues to find a solution?
Here is how VR and AI can empower the future of learning. The Star Trek: Bridge Crew VR Game gives us a glimpse of how we can engage with our students. Or, as Levar Burton (Geordi La Forge from Engineering) in the video trailer puts it:
There is something different being in a shared virtual environment . . . The team does not succeed unless everybody does their job well.
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In the true spirit of Star Trek it is through cooperation rather than competition that we learn best. In VR, you can sit on any of the crew chairs and be the captain, engineer, or doctor and experience events from very different point of views. In Star Trek: Bridge Crew, you are flying the ship but have to work collaboratively with your team. You have to work with your crew to reach goals and accomplish the mission as this is virtual reality as a social experience. It demands that you be fully engaged.
Think “virtual reality,” and it’s probably video gaming that comes to mind. CSU is looking to expand the breadth and depth of this emerging technical field with a campus-wide Virtual Reality Initiative, launching this semester.
The initiative will give students and the science community hands-on experience with virtual reality, for research and educational applications.
Virtual reality (VR) is a way of experiencing virtual worlds or objects – the cockpit of a spaceship, an anatomy lesson, a walk through a historical building – through devices like computers, goggles or headsets designed to immerse someone in a simulated environment. VR touches fields ranging from design to art to engineering.
In case you haven’t heard, there is a lot of hype right now about virtual and augmented reality. Three months into 2016, investors have already spent 1.1 billion dollars to get a piece of the action.
Still, I am confident that virtual reality will revolutionize how we learn, and the reason is simple. Virtual reality is not just a technology, it’s a medium. And I’ve seen how powerful that medium can be.
A Chinese surgeon has discovered a practical application for augmented reality in the medical field. Using the same technology by which a Pokemon character is layered onto a real-life setting, two surgical images can be combined into a single view, eliminating the need for surgeons to watch two separate screens simultaneously.
Catherine Chan Po-ling, a surgeon in Hong Kong and co-founder of MedEXO Robotics, says that the use of augmented reality technology in keyhole, or minimally invasive, surgery can solve one of the biggest problems for surgeons performing these procedures.
Currently, surgeons in keyhole procedures must create and view two images simultaneously. In Chan’s example, when checking for cancerous cells in the liver, the surgeon operates a regular camera showing a view of the surface of the liver, and at the same time operates an ultrasound probe to check beneath the surface of the liver.
Given the explosion of interest in virtual reality among media organizations, we sought in January to establish best practices and ideal scenarios for using the technology in storytelling through our inaugural immersive journalism class at Stanford University.
During the 10-week course, 12 undergraduate and graduate students evaluated a range of virtual reality experiences published by the New York Times, Wall Street Journal, ABC News and others. We compared commercially available virtual reality headsets (Google Cardboard, HTC Vive, Samsung Gear/VR and Oculus Rift) for ease and quality as well as virtual reality cameras — the (more expensive but expansive) GoPro and the (more affordable) Ricoh Theta S.
Virtual reality used to be the thing of science fiction books and movies. Now, it’s inexpensive, works with the technology we carry in our pockets, and can transform us to real and imaginary places.
The first truly awesome chatbot is a talking T. Rex — from fastcodesign.com by John Brownlee National Geographic uses a virtual Tyrannosaur to teach kids about dinosaurs—and succeeds where other chatbots fail.
Excerpt:
As some have declared chatbots to be the “next webpage,” brands have scrambled to develop their own talkative bots, letting you do everything from order a pizza to rewrite your resume. The truth is, though, that a lot of these chatbots are actually quite stupid, and tend to have a hard time understanding natural human language. Sooner or later, users get frustrated bashing their heads up against the wall of a dim-witted bot’s AI.
So how do you design around a chatbot’s walnut-sized brain? If you’re National Geographic Kids UK, you set your chatbot to the task of pretending to be a Tyrannosaurus rex, a Cretaceous-era apex predator that really had a walnut-sized brain (at least comparatively speaking).
She’s called Tina the T. rex, and by making it fun to learn about dinosaurs, she suggests that education — rather than advertising or shopping — might be the real calling of chatbots.
Dropping a child off at college is a stressful experience. I should know — I dropped off one last week and another today. It’s confusing because everything is so new, your child (who is actually a young adult, how did that happen?) is anxious, and you usually have to settle up on your finances.
This situation happens to be ideal for a chatbot, because the administrative staff is way too busy to handle questions in person or by phone. There might be someone directing you in the parking lot, but not everyone standing around in the student center knows how to submit FAFSA data.
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One of the main reasons for thinking of this is that I would have used one myself today. It’s a situation where you want immediate, quick information without having to explain all of the background information. You just need the campus map or the schedule for the day — that’s it. You don’t want any extra frills.
From DSC: My question is:
Will Instructional Designers, Technical Communicators, e-Learning Designers, Trainers, (and other positions as as well) going to have to know how to build chatbots in the future? Our job descriptions could be changing soon. Or will this kind of thing require more programming-related skills? Perhaps more firms like the one below could impact that situation…
Here are the ten technologies comprising the 2016 list, along with the reason cited by the WEF for their selection:
Nanosensors and the Internet of Nanothings — “With the Internet of Things expected to comprise 30 billion connected devices by 2020, one of the most exciting areas of focus today is now on nanosensors capable of circulating in the human body or being embedded in construction materials.”
Next-generation batteries— “One of the greatest obstacles holding renewable energy back is matching supply with demand, but recent advances in energy storage using sodium, aluminum, and zinc based batteries makes mini-grids feasible that can provide clean, reliable, around-the-clock energy sources to entire villages.”
The Blockchain — “With venture investment related to the online currency bitcoin exceeding $1 billion in 2015 alone, the economic and social impact of blockchain’s potential to fundamentally change the way markets and governments work is only now emerging.”
2-D materials — “Plummeting production costs mean that 2D materials like graphene are emerging in a wide range of applications, from air and water filters to new generations of wearables and batteries.”
Autonomous vehicles — “The potential of self-driving vehicles for saving lives, cutting pollution, boosting economies, and improving quality of life for the elderly and other segments of society has led to rapid deployment of key technology forerunners along the way to full autonomy.”
Organs-on-chips — “Miniature models of human organs could revolutionize medical research and drug discovery by allowing researchers to see biological mechanism behaviors in ways never before possible.”
Perovskite solar cells — “This new photovoltaic material offers three improvements over the classic silicon solar cell: it is easier to make, can be used virtually anywhere and, to date, keeps on generating power more efficiently.”
Open AI ecosystem — “Shared advances in natural language processing and social awareness algorithms, coupled with an unprecedented availability of data, will soon allow smart digital assistants to help with a vast range of tasks, from keeping track of one’s finances and health to advising on wardrobe choice.”
Optogenetics— “Recent developments mean light can now be delivered deeper into brain tissue, something that could lead to better treatment for people with brain disorders.”
Systems metabolic engineering — “Advances in synthetic biology, systems biology, and evolutionary engineering mean that the list of building block chemicals that can be manufactured better and more cheaply by using plants rather than fossil fuels is growing every year.”
From DSC: I inserted a [could] in the title, as I don’t think we’re there yet. That said, I don’t see chatbots, personal assistants, and the use of AI going away any time soon. This should be on our radars from here on out. Chatbots could easily be assigned some heavy lifting duties within K-20 education as well as in the corporate world; but even then, we’ll still need excellent teachers, professors, and trainers/subject matter experts out there. I don’t see anyone being replaced at this point.
Excerpt:
As the equity gap in American education continues, Microsoft co-founder Bill Gates has been urging educators, investors and tech companies to be more open in investing time and money in artificial intelligence-driven education technology programs. The reason? Gates believed that these AI-based EdTech platforms could personalize and revolutionize school learning experience while eliminating the equity gap.
The Motivation, Revision and Announcement bots each perform respective functions that are intended to help students master exams.
The Motivation bot, for instance, “keeps students motivated with reminders, social support, and other means,” while the Revision bot “helps students to best understand ways to improve their work” and the Announcement bot “tells students how much studying they need to do based on the amount of time available.”
Machine learning is best defined as the transition from feeding the computer with programs containing specific instructions in the forms of step-by-step rules or algorithms to feeding the computer with algorithms that can “learn” from data and can make inferences “on their own.” The computer is “trained” by data which is labeled or classified based on previous outcomes, and its software algorithms “learn” how to predict the classification of new data that is not labeled or classified. For example, after a period of training in which the computer is presented with spam and non-spam email messages, a good machine learning program will successfully identify, (i.e., predict,) which email message is spam and which is not without human intervention. In addition to spam filtering, machine learning has been applied successfully to problems such as hand-writing recognition, machine translation, fraud detection, and product recommendations.
Grush: Is there a signpost you might point to that would indicate that there’s going to be more product development in AR/VR/MR?
Christian: There’s a significant one. Several major players — with very deep pockets — within the corporate world are investing in new forms of HCI, including Microsoft, Google, Apple, Facebook, Magic Leap, and others. In fact, according to an article on engadget.com from 6/16/16, “Magic Leap has amassed an astounding $1.39 billion in funding without shipping an actual product.” So to me, it’s just not likely that the billions of dollars being invested in a variety of R&D-related efforts are simply going to evaporate without producing any impactful, concrete products or services. There are too many extremely smart, creative people working on these projects, and they have impressive financial backing behind their research and product development efforts. So, I think we can expect an array of new choices in AR/VR/MR.
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Just the other day I was talking to Jason VanHorn, an associate professor in our geology, geography, and environmental studies department. After finishing our discussion about a particular learning space and how we might implement active learning in it, we got to talking about mixed reality. He related his wonderful dreams of being able to view, manipulate, maneuver through, and interact with holographic displays of our planet Earth.
When I mentioned a video piece done by Case Western and the Cleveland Clinic that featured Microsoft’s Hololens technology, he knew exactly what I was referring to. But this time, instead of being able to drill down through the human body to review, explore, and learn about the various systems composing our human anatomy, he wanted to be able to drill down through the various layers of the planet Earth. He also wanted to be able to use gestures to maneuver and manipulate the globe — turning the globe to just the right spot before using a gesture to drill down to a particular place.
With the current AI revolution, comes a flock of skeptics. Alarmed of what AI could be in the near future, the White House released a Notice of Request For Information (RFI) on it. In response, IBM has created what seems to be an AI 101, giving a good sense of the current state, future, and risks of AI.
Gartner reveals the top 3 emerging technologies from 2016 — from information-age.com by Nicholas Ismail Technology is advancing at such a rapid rate that businesses are almost being forced to embrace emerging technologies in order to stay competitive
Excerpt:
Emerging technologies are fast becoming the tools with the highest priority for organisations facing rapidly accelerating digital business innovation.
Their selection was based on what technologies will have the most impact and lead to the most competitive advantage, while establishing when these big technologies are going to mature (early stage or saturating).
Gartner’s research director Mike Walker said the hype cycle specifically focuses on the set of technologies that are showing promise in delivering a high degree of competitive advantage over the next five to ten years.
Information Age spoke to Mike Walker to gain a further insight into these three technologies, and their future business applications.
Smart machine technologies will be the most disruptive class of technologies over the next 10 years, including smart robots, autonomous cars and smart workspaces
Imagination in the Augmented-Reality Age — from theatlantic.com by Georgia Perry
Pokémon Go may have reached the zenith of its popularity, but the game has far-reaching implications for the future of play.
Excerpt:
For young people today, however, it’s a different story. “They hardly play. If they do play it’s some TV script. Very prescribed,” Levin said. “Even if they have friends over, it’s often playing video games.”
That was before Pokémon Go, though.
The augmented-reality (AR) game that—since its release on July 6, attracted 21 million users and became one of the most successful mobile apps ever—has been praised for promoting exercise, facilitating social interactions, sparking new interest in local landmarks, and more. Education writers and experts have weighed in on its implications for teaching kids everything from social skills to geography to the point that such coverage has become cliché. And while it seems clear at this point that the game is a fad that has peaked—it’s been losing active players for over a week—one of the game’s biggest triumphs has, arguably, been the hope it’s generated about the future of play. While electronic games have traditionally caused kids to retreat to couches, here is one that did precisely the opposite.
What Pokémon Go is, however, is one of the first iterations of what will undeniably be many more AR games. If done right, some say the technology Go introduced to the world could bring back the kind of outdoor, creative, and social forms of play that used to be the mainstay of childhood. Augmented reality, it stands to reason, could revitalize the role of imagination in kids’ learning and development.
The classroom of tomorrow will undoubtedly employ more and more smart devices, and coupled with the Internet of Things (IoT) phenomenon, the way in which students learn could be very different in the not-so-distant future.
A new survey conducted by Extreme Networks reveals that while smart classrooms and schools only represent a small fraction of campuses today, the promise is there for the technology to redefine the academic experience going forward. There are K-12 schools and universities across the country that are already using the IoT to connect smart devices that can “talk” to one another for the purpose of enhancing the learning experience.
From DSC: I look forward to the time when machine-to-machine communications and sensors will give faculty members the settings that they want setup/initiated as soon as they walk into a room (some of this is most likely already occurring somewhere else…just not on our campus yet!):
The front lights lower down 50% (as the professor had requested previously)
The front 80′ LCD — a smart/Internet connected device — display is turned on and brings up that specific course on the screen (having already signed into the cloud-based CMS/LMS upon that professor entering the room; the system has already queried the appropriate back end system to ascertain what that professor teaches at that particular time and place)
The window treatments are lowered all the way down for better viewing
The speakers play a previously scheduled song, or a spoken poem, or an announcement, or what the students should be doing for the first 5-10 minutes of class
Etc.
Also:
Attendance is automatic (this clearly is already here today and has been for a while).
Students could receive any handouts that the professor wanted to wait to deliver until that particular date and time — again, automatically
Students could upload content that they created — automatically to an electronic parking lot, for the professor or other students to review and comment on
Also see the infographic, a portion of which is seen below:
