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.
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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.”
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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.
Virtual reality technology holds enormous potential to change the future for a number of fields, from medicine, business, architecture to manufacturing.
Psychologists and other medical professionals are using VR to heighten traditional therapy methods and find effective solutions for treatments of PTSD, anxiety and social disorders. Doctors are employing VR to train medical students in surgery, treat patients’ pains and even help paraplegics regain body functions.
In business, a variety of industries are benefiting from VR. Carmakers are creating safer vehicles, architects are constructing stronger buildings and even travel agencies are using it to simplify vacation planning.
Google has unveiled a new interactive online exhibit that take users on a tour of 10 Downing street in London — home of the U.K. Prime Minister.
The building has served as home to countless British political leaders, from Winston Churchill and Margaret Thatcher through to Tony Blair and — as of a few months ago — Theresa May. But, as you’d expect in today’s security-conscious age, gaining access to the residence isn’t easy; the street itself is gated off from the public. This is why the 10 Downing Street exhibit may capture the imagination of politics aficionados and history buffs from around the world.
The tour features 360-degree views of the various rooms, punctuated by photos and audio and video clips.
In a slightly more grounded environment, the HoloLens is being used to assist technicians in elevator repairs.
Traversal via elevator is such a regular part of our lifestyles, its importance is rarely recognized…until they’re not working as they should be. ThyssenKrupp AG, one of the largest suppliers for elevators, recognizes how essential they are as well as how the simplest malfunctions can deter the lives of millions. Announced on their blog, Microsoft is partnering with Thyssenkrupp to equip 24,000 of their technicians with HoloLens.
Insert from DSC re: the above piece re: HoloLens:
Will technical communicators need to augment their skillsets? It appears so.
But in a world where no moment is too small to record with a mobile sensor, and one in which time spent in virtual reality keeps going up, interesting parallels start to emerge with our smartphones and headsets.
Let’s look at how the future could play out in the real world by observing three key drivers: VR video adoption, mobile-video user needs and the smartphone camera rising tide.
“Individuals with autism may become overwhelmed and anxious in social situations,” research clinician Dr Nyaz Didehbani said.
“The virtual reality training platform creates a safe place for participants to practice social situations without the intense fear of consequence,” said Didehbani.
The participants who completed the training demonstrated improved social cognition skills and reported better relationships, researchers said.
Today, we are thrilled to announce the launch of LinkedIn Learning, an online learning platform enabling individuals and organizations to achieve their objectives and aspirations. Our goal is to help people discover and develop the skills they need through a personalized, data-driven learning experience.
LinkedIn Learning combines the industry-leading content from Lynda.com with LinkedIn’s professional data and network. With more than 450 million member profiles and billions of engagements, we have a unique view of how jobs, industries, organizations and skills evolve over time. From this, we can identify the skills you need and deliver expert-led courses to help you obtain those skills. We’re taking the guesswork out of learning.
The pressure on individuals and organizations to adapt to change has never been greater. The skills that got you to where you are today are not the skills to prepare you for tomorrow. In fact, the shelf-life of skills is less than five years, and many of today’s fastest growing job categories didn’t even exist five years ago.
To tackle these challenges, LinkedIn Learning is built on three core pillars:
… Data-driven personalization: We get the right course in front of you at the right time.Using the intelligence that comes with our network, LinkedIn Learning creates personalized recommendations, so learners can efficiently discover which courses are most relevant to their goals or job function. Organizations can use LinkedIn insights to customize multi-course Learning Paths to meet their specific needs. We also provide robust analytics and reporting to help you measure learning effectiveness.
Today, LinkedIn has launched LinkedIn Learning — its first major product launch since the news last June that Microsoft would be snapping up the social network for $26.2 billion in a deal that has yet to close.
Companies will also be able to create their own “learning paths”—bundles of courses around a particular topic—to train employees. A chief learning officer, for instance, might compile a package of courses in product management and ask 10 employees to complete the assignments over the course of a few months.
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LinkedIn is also targeting higher-education institutions with the new offering. It is marketing the solution as a professional development tool that can help faculty learn how to use classroom tools such as Moodle, Adobe Captivate and learning management systems.
“Increasingly predictions of tech displacing workers are coming to fruition,” he added. “The idea that you can study a skill once and have a job for the rest of your life—those days are over.”
LinkedIn is also adding more personalized features to its news feed, where members can see articles and announcements posted by their professional contacts. A new “Interest Feed” will offer a collection of articles, posts and opinion pieces on major news events or current issues.
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.
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.
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
Executive Summary
Explore the world of work in 2025 in a revealing evidence-based report by future consultants The Future Laboratory and Microsoft, which identifies and investigates ten exciting, inspiring and astounding jobs for the graduates of tomorrow – but that don’t exist yet.
Introduction
Tomorrow’s university graduates will be taking a journey into the professional unknown guided by a single, mind-blowing statistic: 65% of today’s students will be doing jobs that don’t even exist yet.
Technological change, economic turbulence and societal transformation are disrupting old career certainties and it is increasingly difficult to judge which degrees and qualifications will be a passport to a well-paid and fulfilling job in the decades ahead.
A new wave of automation, with the advent of true artificial intelligence, robots and driverless cars, threatens the future of traditional jobs, from truck drivers to lawyers and bankers.
But, by 2025, this same technological revolution will open up inspiring and exciting new career opportunities in sectors that are only in their infancy today.
The trick for graduates is to start to develop the necessary skills today in order to ensure they future proof their careers.
This report by future consultants The Future Laboratory attempts to show them how to do just that in a research collaboration with Microsoft, whose Surface technology deploys the precision and versatility of pen and touch to power creative industries ranging from graphic design and photography to architecture and engineering.
In this study, we use extensive desk research and in-depth interviews with technologists, academics, industry commentators and analysts to unveil 10 new creative job categories that will be recruiting tomorrow’s university students.
These future jobs demonstrate a whole new world of potential applications for the technology of today, as we design astonishing virtual habitats and cure deadly diseases from the comfort of our own sofas. It is a world that will need a new approach to training and career planning.
Welcome to tomorrow’s jobs…
65% of today’s students will be doing jobs that don’t even exist yet.
“Over the next decade, the long-awaited era of robots will dawn and become part of everyday life. It will be important to set out the moral and ethical rules under which they operate…”
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.
From DSC:
The articles below demonstrate why the need for ethics, morals, policies, & serious reflection about what kind of future we want has never been greater!
U.S. Public Wary of Biomedical Technologies to ‘Enhance’ Human Abilities — from pewinternet.org by Cary Funk, Brian Kennedy and Elizabeth Podrebarac Sciupac Americans are more worried than enthusiastic about using gene editing, brain chip implants and synthetic blood to change human capabilities
Human Enhancement— from pewinternet.org by David Masci The Scientific and Ethical Dimensions of Striving for Perfection
The report is far more sedate. It is a draft report, not a bill, with a mixed bag of recommendations to the Commission on Civil Law Rules on Robotics in the European Parliament. It will be years before anything is decided.
Nevertheless, it is interesting reading when considering how society should adapt to increasingly capable autonomous machines: what should the legal and moral status of robots be? How do we distribute responsibility?
A remarkable opening
The report begins its general principles with an eyebrow-raising paragraph:
whereas, until such time, if ever, that robots become or are made self-aware, Asimov’s Laws must be regarded as being directed at the designers, producers and operators of robots, since those laws cannot be converted into machine code;
It is remarkable because first it alludes to self-aware robots, presumably moral agents – a pretty extreme and currently distant possibility – then brings up Isaac Asimov’s famous but fictional laws of robotics and makes a simultaneously insightful and wrong-headed claim.
That murmur is self-doubt, and its presence helps keep us alive. But robots don’t have this instinct—just look at the DARPA Robotics Challenge. But for robots and drones to exist in the real world, they need to realize their limits. We can’t have a robot flailing around in the darkness, or trying to bust through walls. In a new paper, researchers at Carnegie Mellon are working on giving robots introspection, or a sense of self-doubt. By predicting the likelihood of their own failure through artificial intelligence, robots could become a lot more thoughtful, and safer as well.
If you met this lab-created critter over your beach vacation, you’d swear you saw a baby ray. In fact, the tiny, flexible swimmer is the product of a team of diverse scientists. They have built the most successful artificial animal yet. This disruptive technology opens the door much wider for lifelike robots and artificial intelligence.
From DSC: I don’t think I’d use the term disruptive here — though that may turn out to be the case. The word disruptive doesn’t come close to carrying/relaying the weight and seriousness of this kind of activity; nor does it point out where this kind of thing could lead to.
Todd Richmond, a director at the Institute for Creative Technologies at the University of Southern California, says a big debate is brewing over who controls digital assets associated with real world property.
“This is the problem with technology adoption — we don’t have time to slowly dip our toe in the water,” he says. “Tenants have had no say, no input, and now they’re part of it.”
From DSC: I greatly appreciate what Pokémon Go has been able to achieve and although I haven’t played it, I think it’s great (great for AR, great for peoples’ health, great for the future of play, etc.)! So there are many positives to it. But the highlighted portion above is not something we want to have to say occurred with artificial intelligence, cognitive computing, some types of genetic engineering, corporations tracking/using your personal medical information or data, the development of biased algorithms, etc.
The links I have included in this column have been carefully chosen as recommended reading to support my firm conviction that machine learning and artificial intelligence are the keys to just about every aspect of life in the very near future: every sector, every business.
Now there is an A.I. that can do your job. Customers can direct exactly how their new website should look. Fancy something more colorful? You got it. Less quirky and more professional? Done. This A.I. is still in a limited beta but it is coming. It’s called The Grid and it came out of nowhere. It makes you feel like you are interacting with a human counterpart. And it works.
Artificial intelligence has arrived. Time to sharpen up those resumes.
It seems like, in general, technology always races ahead of the moral implications of using it. This seems to be true of everything from atomic power to sequencing genomes. Scientists often create something because they can, because there is a perceived need for it, or even by accident as a result of research. Only then does the public catch up and start to form an opinion on the issue.
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Which brings us to the science of augmenting humans with technology, a process that has so far escaped the public scrutiny and opposition found with other radical sciences. Scientists are not taking any chances, with several yearly conferences already in place as a forum for scientists, futurists and others to discuss the process of human augmentation and the moral implications of the new science.
That said, it seems like those who would normally oppose something like this have remained largely silent.
Google Created Its Own Laws of Robotics — from fastcodesign.com by John Brownlee Building robots that don’t harm humans is an incredibly complex challenge. Here are the rules guiding design at Google.
Soon, hundreds of millions of mobile users in China will have direct access to an augmented reality smartphone platform on their smartphones.
Baidu, China’s largest search engine, unveiled an AR platform today called DuSee that will allow China’s mobile users the opportunity to test out smartphone augmented reality on their existing devices. The company also detailed that they plan to integrate the technology directly into their flagship apps, including the highly popular Mobile Baidu search app.
From DSC: With “a billion iOS devices out in the world“, I’d say that’s a good, safe call…at least for one of the avenues/approaches via which AR will be offered.
Recently it’s appeared that augmented reality (AR) is gaining popularity as a professional platform, with Visa testing it as a brand new e-commerce solution and engineering giant Aecom piloting a project that will see the technology used in their construction projects across three continents. Now, it’s academia’s turn with Deakin University in Australia announcing that it plans to use the technology as a teaching tool in its medicine and engineering classrooms.
As reported by ITNews, AR technology will be introduced to Deakin University’s classes from December, with the first AR apps to be used during the university’s summer programme which runs from November to March, before the technology is distributed more widely in the first semester of 2017.
Creating realistic interactions with objects and people in virtual reality is one of the industry’s biggest challenges right now, but what about for augmented reality?
That’s an area that researchers from Massachusetts Institute of Technology’s (MIT’s) Computer Science and Artificial Intelligence Laboratory (CSAIL) have recently made strides in with what they call Interactive Dynamic Video (IDV). First designed with video in mind, PhD student Abe Davis has created a unique concept that could represent a way to not only interact with on-screen objects, but for those objects to also realistically react to the world around them.
If that sounds a little confusing, then we recommend taking a look at…
Venice Architecture Biennale 2016: augmented reality will revolutionise the architecture and construction industries according to architect Greg Lynn, who used Microsoft HoloLens to design his contribution to the US Pavilion at the Venice Biennale (+ movie).
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Augmented Reality In Healthcare Will Be Revolutionary — from medicalfuturist.com Augmented reality is one of the most promising digital technologies at present – look at the success of Pokémon Go – and it has the potential to change healthcare and everyday medicine completely for physicians and patients alike.
Excerpt:
Nurses can find veins easier with augmented reality The start-up company AccuVein is using AR technology to make both nurses’ and patients’ lives easier. AccuVein’s marketing specialist, Vinny Luciano said 40% of IVs (intravenous injections) miss the vein on the first stick, with the numbers getting worse for children and the elderly. AccuVein uses augmented reality by using a handheld scanner that projects over skin and shows nurses and doctors where veins are in the patients’ bodies. Luciano estimates that it’s been used on more than 10 million patients, making finding a vein on the first stick 3.5x more likely. Such technologies could assist healthcare professionals and extend their skills.
But even with a wealth of hardware partners over the years, Urbach says he’d never tried a pair of consumer VR glasses that could effectively trick his brain until he began working with Osterhout Design Group (ODG).
ODG has previously made military night-vision goggles, and enterprise-focused glasses that overlay digital objects onto the real world. But now the company is partnering with OTOY, and will break into the consumer AR/VR market with a model of glasses codenamed “Project Horizon.”
The glasses work by using a pair of micro OLED displays to reflect images into your eyes at 120 frames-per-second. And the quality blew Urbach away, he tells Business Insider.
You could overlay images onto the real world in a way that didn’t appear “ghost-like.” We have the ability to do true opacity matching,” he says.
Live streaming VR events continue to make the news. First, it was the amazing Reggie Watts performance on AltspaceVR. Now the startup Rivet has launched an iOS app (sorry, Android still to come) for live streams of concerts. As the musician, record producer and visual artist Brian Eno once said,
You can’t really imagine music without technology.
In the near future, we may not be able to imagine a live performance without the option of a live stream in virtual reality.
While statistics on VR use in K-12 schools and colleges have yet to be gathered, the steady growth of the market is reflected in the surge of companies (including zSpace, Alchemy VRand Immersive VR Education) solely dedicated to providing schools with packaged educational curriculum and content, teacher training and technological tools to support VR-based instruction in the classroom. Myriad articles, studies and conference presentations attest to the great success of 3D immersion and VR technology in hundreds of classrooms in educationally progressive schools and learning labs in the U.S. and Europe.
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Much of this early foray into VR-based learning has centered on the hard sciences — biology, anatomy, geology and astronomy — as the curricular focus and learning opportunities are notably enriched through interaction with dimensional objects, animals and environments. The World of Comenius project, a biology lesson at a school in the Czech Republic that employed a Leap Motion controller and specially adapted Oculus Rift DK2 headsets, stands as an exemplary model of innovative scientific learning.
In other areas of education, many classes have used VR tools to collaboratively construct architectural models, recreations of historic or natural sites and other spatial renderings. Instructors also have used VR technology to engage students in topics related to literature, history and economics by offering a deeply immersive sense of place and time, whether historic or evolving.
“Perhaps the most utopian application of this technology will be seen in terms of bridging cultures and fostering understanding among young students.”
But the classroom of tomorrow will look very different. The latest advancements in technology and innovation are paving the way for an educational space that’s interactive, engaging and fun.
The conventions of learning are changing. It’s becoming normal for youngsters to use games like Minecraft to develop skills such as team working and problem solving, and for teachers to turn to artificial intelligence to get a better understanding of how their pupils are progressing in lessons.
Virtual reality is also introducing new possibilities in the classroom. Gone are the days of imagining what an Ancient Egyptian tomb might look like – now you can just strap on a headset and transport yourself there in a heartbeat.
The potential for using VR to teach history, geography and other subjects is incredible when you really think about it – and it’s not the only tech that’s going to shake things up.
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Artificial intelligence is already doing groundbreaking things in areas like robotics, computer science, neuroscience and linguistics, but now they’re now entering the world of education too.
London-based edtech firm Digital Assess has been working on an AI app that has the potential to revolutionise the way youngsters learn.
With the backing of the UK Government, the company has been trialing its web-based application Formative Assess in schools in England.
Using semantic indexing and natural language processing in a similar way to social networking sites, an on-screen avatar – which can be a rubber duck or robot – quizzes students on their knowledge and provides them with individual feedback on their work.
Today, Microsoft unveiled new features for Word—Researcher and Editor—designed to make the application even smarter and easier to use.
When writing a research paper, a tech news article—or a political speech—proper citation is important. Everyone knows and expects that a writer has scoured other resources and has pulled thoughts and concepts from them. Having your work referenced and emulated is flattering, but nobody likes plagiarism. It’s important to give credit where credit is due by citing the original works used as reference, and Microsoft is making that simpler and more automated with the new Researcher feature in Word.
A blog post from Microsoft describes the new feature, “Researcher is a new service in Word that helps you find and incorporate reliable sources and content for your paper in fewer steps. Right within your Word document you can explore material related to your topic and add it—and its properly-formatted citation—in one click. Researcher uses the Bing Knowledge Graph to pull in the appropriate content from the web and provide structured, safe and credible information.”
From DSC: As I read the article below, I couldn’t help but think of Microsoft’s recent announcement to purchase LinkedIn.com (who had already acquired Lynda.com last year). Perhaps Microsoft’s purchase of LinkedIn (and with it, Lynda.com) will bring big data to lifelong learning, career building, and matching job providers with job seekers (i.e., online-based marketplaces/exchanges). If Microsoft doesn’t do this, perhaps IBM’s Watson will. But this is where blockchain could come in as well…to verify that someone actually took this or that module, course, training, etc.
Just ten years ago, one would never have considered the portability of credentials that could follow a person from location to location, allowing potential employers to verify a job candidate’s fit for a position quickly. However, that is just what has happened, and the explosion of interest in digital badging and microcredentials is changing the landscape of higher education.
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Digital badges encoded with microcredentials contain meta data that links back to the issuer, performance criteria, and verification of evidence.
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Ultimately, badging offers portability of acknowledged skills and abilities that can be carried anywhere to demonstrate competency. Learners can accumulate badges across institutional platforms, and the badges can be sorted, shown, or hidden by the learner to reflect achievement in the particular skills or knowledge which the learner wishes to exhibit.
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.
Paper 53 is a brilliant app which combines drawings, notes, photos and sketches. It is available on the Appstore. The app is simple and user-friendly; just use your finger (or a stylus) to draw, paint, select colours, erase and lots more.
Below is a collection of some new educational web tools and mobile apps to try out in your instruction. The purpose is to keep you updated about the new releases in the EdTech world and empower you with the necessary technology to take your teaching and learning to the next level. Some of the things you can do with these applications include: Learn English pronunciation from native speakers, easily save web content to Google, search YouTube without having to stop the video playing, learn basic math skills through challenging games and activities, unshare sent files in Gmail, create interactive and engaging videos by adding polls, short questions and quizzes, create beautiful presentations and animations using drawn images and stick figures and many more.
This year the Center for Teaching hosted a few educational technology working groups for faculty, staff, and students interested in exploring ways particular technologies might meet their instructional goals. One of the groups investigated the use of digital timeline tools, like Tiki-Toki and TimelineJS, that facilitate the creation of online, multimedia, interactive, and collaborative timelines. I had used such tools in my own teaching, having asked my 2010 writing seminar students to create a class timeline on the history of cryptography, and I was eager to talk with other instructors about the potential of student-produced timelines.
In Silicon Valley and elsewhere there’s currently an AI arms race going on. The first wave of this race is centered around artificial virtual assistants that are poised to become our new digital best friends in the very near future. While many people are familiar with Apple’s popular AI virtual assistant, Siri, there are four other main players in the AI virtual assistant space.
Introducing the new mobile app for Microsoft Flow— from flow.microsoft.com with thanks to Mr. Michael Haan, Technology Integration Specialist/Purchasing w/ Calvin Information Technology, for this resource
