From IBM: The future of personalised education

On 05/17/2016, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, data related items, education, education technology, emerging technologies, higher education, IBM, ideas, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, personalized/customized learning, platforms, by Daniel Christian

The future of personalised education — from IBM.com

Excerpt:

From curriculum to career with cognitive systems
Data-driven cognitive technologies will enable personalised education and improve outcomes for students, educators and administrators. Ultimately, education experiences will be transformed and improved when data can accompany the students throughout their life-long learning journey.

In this research, we explore how educators are using digital education services to deliver personalised programs. Through inputs from a series of in-depth interviews, surveys and social listening, we paint a picture of how the world of work and learning might evolve over the next forty years.

Reflections on “Thinking about the future of work to make better decisions about learning today” [Gorbis]

On 05/04/2016, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, changing business models, colleges, community colleges, corporate / business world, corporate universities / corporate training, Daniel S. Christian, disruption, emerging technologies, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), IBM, immersion, intelligent systems, learning, learning agents, learning ecosystem, lifelong learning, machine-to-machine communications, maker movement, organizational change, pace of change, professional development, reinvent, society, staying relevant, surviving, technology (general), trends, universities, workplace, by Daniel Christian

Thinking about the future of work to make better decisions about learning today — from er.edcause.edu by Marina Gorbis
By looking at historical patterns and identifying signals of change around us today, we can better prepare for the transformations occurring in both work and learning.

Excerpt:

Instead of debating whether learning is for learning’s sake or as a means for earning a living, we need to think about the forces and signals of transformation and what they mean for higher education today and tomorrow.

So let’s explore these deeper transformations.¹ From our experience of doing forecasting work for nearly fifty years, we at the IFTF believe that it is usually not one technology or one trend that drives transformative shifts. Rather, a cluster of interrelated technologies, often acting in concert with demographic and cultural changes, is responsible for dramatic changes and disruptions. Technologies coevolve with society and cultural norms—or as Marshall McLuhan is often quoted as having said: “We shape our tools and afterwards our tools shape us.” Nowhere does this apply more critically today than in the world of work and labor. Here, I focus on four clusters of technologies that are particularly important in shaping the changes in the world of work and learning: smart machines; coordination economies; immersive collaboration; and the maker mindset.

From DSC:
I appreciate this article — thanks Marina.

Marina’s article — and the work of The Institute for the Future (IFTF) — illustrates how important is it to examine the current and developing future landscapes — trying to ascertain the trends and potential transformations underway. Such a practice is becoming increasingly relevant and important.

Why?

Because we’re now traveling at exponential rates, not linear rates.

SparksAndHoney-ExpVsLinear2013

We’re zooming down the highway at 180mph — so our gaze needs to be on the horizons — not on the hoods of our cars.

The pace has changed significantly and quickly

Institutions of higher education, boot camps, badging organizations, etc. need to start offering more courses and streams of content regarding futurism — and teaching people how to look up.

Not only is this type of perspective/practice helpful for organizations, but it’s becoming increasingly key for us as individuals.

You don’t want to be the person who gets tapped on the shoulder and is told, “I’m sorry…but your services won’t be necessary here anymore. Please join me in the conference room down the hall.” You then walk down the hall, and as you approach the conference room, you notice that newly placed cardboard is covering the glass — and no one can see into the conference room anymore. You walk in, they shut the door, give you your last pay check and your “pink slip” (so to speak). Then they give you 5 minutes to gather your belongings. A security escort walks you to the front door.

Game over.

Pulse checking a variety of landscapes can contribute
towards keeping your bread and butter on the table.

Also see:

Credentials reform: How technology and the changing needs of the workforce will create the higher education system of the future — from er.educause.edu by Jamie Merisotis
The shift in postsecondary credentialing and the needs of the 21st-century workforce will revolutionize higher education. Colleges and universities have vast potential to be positive agents of this change.
.
New workers, new skills — from er.edcause.edu by Marina Gorbis
What are the most important skills—the work skills and the life skills—that students should acquire from their educational experience, and what is the best way to teach those skills?Excerpt:
We found that the following short list of skills not only continues to be relevant but also is even more important as meta-skills in the changing worlds of work:

Sense-making: the ability to determine the deeper meaning or significance of what is being expressed
Social intelligence: the ability to connect to others in a deep and direct way and to sense and stimulate reactions and desired interactions
Novel and adaptive thinking: a proficiency in coming up with solutions and responses beyond those that are rote or rule-based
Cross-cultural competency: the ability to operate in different cultural settings, not just geographical but also those that require an adaptability to changing circumstances and an ability to sense and respond to new contexts
Computational thinking: the ability to translate vast amounts of data into abstract concepts and to understand data-based reasoning
Media literacy: the ability to critically assess and develop content that uses new media forms and to leverage these media forms for persuasive communication
Transdisciplinarity: a literacy in, and the ability to understand, concepts across multiple disciplines
Design mindset: the ability to represent and develop tasks and work processes for desired outcomes
Cognitive load management: the ability to discern and filter data for importance and to understand how to maximize cognitive functioning using a variety of tools and techniques
Virtual collaboration: the ability to work productively, drive engagement, and demonstrate presence as a member of a virtual team

While we believe that these ten skills continue to be important, two additional skills have emerged from our ethnographic interviews for these new worker categories: networking IQ and hustle.

Train your brain to think about the future — from knowledgeworks.org by Katie King

Thinking about the future is like taking a jog: we can always find something to do instead, but we will be better off later if we take time to do it.

Sesame Workshop, IBM launch early-childhood education initiative — from yahoo.com by Todd Spangler

Excerpt:

Cookie Monster, Elmo and friends are about to hit a new digital learning curve.

Sesame Workshop, the not-for-profit org that produces “Sesame Street,” and tech giant IBM have entered into a partnership to develop new personalized educational products and platforms for preschool-age kids — with the goal of transforming the ways children learn and teachers teach.

Under the three-year agreement, Sesame Workshop and Big Blue will design interactive educational experiences for use in homes and schools that adapt to the learning preferences and aptitude levels of individual preschoolers.

For now, the organizations are treating the project as an R&D investment. IBM and Sesame Street will deploy engineers, educators and researchers to work side-by-side in classrooms and in their own labs and learning facilities. Later this year, they plan to test and share prototypes with leading teachers, academics, researchers, technologists, gamers, performers and media execs to solicit feedback and brainstorm ways in which cognitive computing can best help preschoolers learn.

From DSC:
This will be an important experiment to watch. If it shows promise, it could help parents, pre-school teachers, and the pre-schoolers themselves. Then, the trajectory could make its way to helping early elementary students, to middle school students, to high school students and beyond.

If successful, this is exactly the sort of thing that I could see as one of the key ingredients in the Learning from the [Class] Room vision. Teachers, parents, coaches, etc. will still be critical. But these type of tools and technologies could be running in the background within a blended learning environment — one that can operate at a distance if need be.

Let’s take these same powerful concepts into the living room, & then let’s talk about learning-related applications. [Christian]

On 04/14/2016, in 21st century, 24x7x365 access, A/V -- audio/visual, adult learning, Artificial Intelligence/Agents/LLMs/and Related, collaboration, communications, convergence, corporate universities / corporate training, Daniel S. Christian, digital learning, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, intelligent tutoring, interactivity, internet, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, lifelong learning, marketplaces, microlearning, mirroring and/or multiple devices, MOOCs -- Massive Open Online Courses, more voice more choice more control, motivation, multimedia, new business models, online learning, online media, online tutoring, pace of change, participation, passions, personalized/customized learning, platforms, professional development, reinvent, second screen apps, social learning / networks, staying relevant, surviving, technologies for your home, training / L&D, transmedia, trends, TVs, user experience (UX), virtual tutoring, by Daniel Christian

From DSC:
Let’s take some of the same powerful concepts (as mentioned below) into the living room; then let’s talk about learning-related applications.

Google alum launches MightyTV for cable cord-cutters — from bizjournals.com by Anthony Noto

Excerpts (emphasis DSC):

MightyTV, which has raised more than $2 million in venture funding to date, launched today with a former Google exec at the helm. The startup’s technology incorporates machine learning with computer-generated recommendations in what is being touted as a “major step up” from other static list-making apps.
…
In this age of Roku and Apple TV, viewers can choose what to watch via the apps they’ve downloaded. MightyTV curates those programs — shows, movies and YouTube videos — into one app without constantly switching between Amazon, HBO, Netflix or Hulu.
…
Among the features included on MightyTV are:

* A Tinder-like interface that allows users to swipe through content, allowing the service to learn what you’d like to watch
* An organizer tool that lists content via price range
* A discovery tool to see what friends are watching
* Allows for group viewings and binge watching

From DSC:
What if your Apple TV could provide these sorts of functionalities for services and applications that are meant for K-12 education, higher education, and/or corporate training and development?

Instead of Amazon, HBO, Netflix or Hulu — what if the interface would present you with a series of learning modules, MOOCs, and/or courses from colleges and universities that had strong programs in the area(s) that you wanted to learn about?

That is, what if a tvOS-based system could learn more about you and what you are trying to learn about? It could draw upon IBM Watson-like functionality to provide you with a constantly morphing, up-to-date recommendation list of modules that you should look at. Think microlearning. Reinventing oneself. Responding to the exponential pace of change. Pursuing one’s passions. More choice/more control. Lifelong learning. Staying relevant. Surviving.

…all from a convenient, accessible room in your home…your living room.

A cloud-based marketplace…matching learners with providers.

Now tie those concepts in with where LinkedIn.com and Lynda.com are going and how people will get jobs in the future.

BlueJeans Unveils Enterprise Video Cloud as Businesses Hang Up on Audio-Only Communications
Global Enterprises Adopt Video as a First-Line Communications Strategy

Excerpt (emphasis DSC):

April 12, 2016 — Mountain View, CA—BlueJeans Network, the global leader in cloud-based video communication services, today unveiled the Enterprise Video Cloud, a comprehensive platform built for today’s globally distributed, modern workforce with video communications at the core. New global research shows that 85% of employees are already using video in the workplace and 72% believe that video will transform the way they communicate at work.

“There is a transformation happening among business today – face-to-face video is quickly rising as the preferred communications medium, offering new opportunities for deeper personal relations and outreach, as well as for improved internal and external collaboration,” said Krish Ramakrishnan, CEO of BlueJeans. “Once people experience the power of video, they ‘hang-up’ on traditional conference calling. We are seeing this happen with the emergence of video cultures that power the most innovative cultures—from Facebook and Netflix to Viacom and Del Monte.”

From DSC:
I wonder if we’ll see video communication vendors such as BlueJeans or The Video Call Center merge with vendors like Bluescape, Mezzanine, or T1V with their collaboration tools. If so, some serious collaboration could all happen…again, right from within your living room!

4 items re: AI, machine learning, & cognitive computing

On 03/30/2016, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, computer science, Google, IBM, innovation, open courseware and systems, programming, robotics, vendors, by Daniel Christian

Now anyone can use Google’s deep learning techniques — from futurism.com by Sarah Marquart

In Brief:

Google announced a new machine learning platform for developers. The company is also open-sourcing tools such as Tensorflow to allow the community to take its internal tools, adapt them for their own uses, and improve them.
…
Google has announced a new machine learning platform for developers at its NEXT Google Cloud Platform user conference. Eric Schmidt, Google’s chairman, explained that Google believes machine learning is “what’s next.”

Using artificial intelligence in the classroom — from educationdive.com by Erin McIntyre

Dive Brief:

After Google’s artificially intelligent (AI) computer system beat world champion “Go” player Lee Sedol of South Korea, some are wondering if man-made neural networks can be applied in educational settings to benefit learning.
Companies like Pearson have begun to examine the subject; the company recently released a pamphlet called Intelligence Unleashed: An argument for AI in Education that argues software may soon be able to provide instant and deeper feedback regarding student progress, eliminating traditional standardized testing.
Pearson also conceptualized something called a “lifelong learning companion” for students, which essentially could be seen as an interactive cloud that asked questions, provided encouragement, offered suggestions and connected learners to resources.

Excerpts:

ALGORITHM
A defined list of steps for solving a problem. A computer program can be viewed as an elaborate algorithm. In AI, an algorithm is usually a small procedure that solves a recurrent problem.

MACHINE LEARNING
Computer systems that learn from data, enabling them to make increasingly better predictions.

DECISION THEORY
The mathematical study of strategies for optimal decision-making between options involving different risks or expectations of gain or loss depending on the outcome.

It can be difficult to define artificial intelligence (AI), even for experts. One reason is that what AI includes is constantly shifting. As Nick Bostrom, a leading AI expert from Oxford University, explains: “[a] lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it is not labeled AI anymore.” Instead, it is considered a computer program, or an algorithm, or an app, but not AI.

Another reason for the difficulty in defining AI is the interdisciplinary nature of the field. Anthropologists, biologists, computer scientists, linguists, philosophers, psychologists, and neuroscientists all contribute to the field of AI, and each group brings their own perspective and terminology.

For our purposes, we define AI as computer systems that have been designed to interact with the world through capabilities (for example, visual perception and speech recognition) and intelligent behaviours (for example, assessing the available information and then taking the most sensible action to achieve a stated goal) that we would think of as essentially human.

IBM’s Rometty wants you to know they’re a ‘cognitive solutions cloud platform company’ — from barrons.com by Tiernan Ray

Excerpt:

Rometty says she is the first IBM chief to ever offer a keynote at the show [CES]. Her framework for everything this evening is that the “future is cognitive,” and we’re headed to a “cognitive IoT.”
…
What happens when everyone becomes digital, she asks. What will differentiate people is understanding all that data. That is the “cognitive era.” “Cognitive is an era of business and an era of technology,” she says. 80% of data out here is “black, invisible,” and “that’s what’s changing,” she says.

Rometty clarifies cognitive is not synonymous with A.I. It is not about systems you program. It is about systems that learn.
…
Her point is that all that “vast IoT data is going to do nothing for you unless you can bring cognitive to it.”

Her big point: “IBM is no longer a hardware, software company,” but a “cognitive solutions cloud platform company.”

SoftBank’s Pepper robot to get even brainier with IBM’s Watson technology — from thenextweb.com by Natt Garun

Excerpt:

When it launched last year, SoftBank’s emotion-reading robot Pepper sold out in just one minute despite its limited utility. Now, Pepper’s about to get smarter thanks to a partnership with IBM to integrate Watson cognitive system into its brains.

With Watson, developers hope to help Pepper understand human emotions more thoroughly to appropriately respond and engage with its users. IBM and SoftBank say the collaboration will also allow Pepper to gather new information from social media to learn how people interact with brands so it knows how to personally reach out to people.

10 promising technologies assisting the future of medicine and healthcare [Meskó]

On 03/25/2016, in Apple, Augmented Reality (AR), biology, future, global / globalization, health, human-computer interaction (HCI), IBM, innovation, research, robotics, social learning / networks, social media, society, tools, wearables, by Daniel Christian

10 promising technologies assisting the future of medicine and healthcare — by Bertalan Meskó, MD, PhD

Excerpt:

Technology will not solve the problems that healthcare faces globally today. And the human touch alone is not enough any more, therefore a new balance is needed between using disruptive innovations but still keeping the human interaction between patients and caregivers. Here are 10 technologies and trends that could enable this.

From DSC:
Hmm…I wonder how job seekers and job providers could benefit if IBM Watson were to team up with LinkedIn.com/Lynda.com? And/or for those freelancers who are seeking to work on new projects with those organizations who have projects to be completed…?

I’m thinking Artificial Intelligence (AI)-based job exchanges/marketplaces, with the engines constantly churning away through — and making sense of — enormous amounts of data in order to find people just the right job for them.

For example, someone in Texas wants to work part time in special education and their LinkedIn.com profile shows that they have x, y, and z as their credentials and that they have taken a, b, c, d, and e courses (which the person could also find on the “marketplace section” as having been necessary in that state). They are looking for 20 hours a week and, as they live in San Antonio, they need something in or near that city.

Would this collaboration bring something that other current job exchanges don’t? I’m not sure, as I don’t know how much data mining is occurring with them. But the scale of the two companies — along with the technologies and the strategies that they are pursuing — could present some interesting affordances.

+

This idea of the need for such a marketplace/mechanism takes on all the more importance if it’s true that we are living in a post-jobs economy and that getting new project-related work is key in putting bread and butter on the table.

Without having looked at this very much, it appears that LinkedIn.com has already been pursuing this type of goal/vision, as seen with the work they are doing involving The Economic Graph.

See:

The IT industry is launching new markets worth more than $2 trillion, IBM CEO says [Bort]

On 02/26/2016, in analytics, Artificial Intelligence/Agents/LLMs/and Related, cloud-based computing / apps / other cloud-related, computer science, data related items, health, IBM, internet, machine-to-machine communications, by Daniel Christian

The IT industry is launching new markets worth more than $2 trillion, IBM CEO says — from finance.yahoo.com by Julie Bort

Excerpt (emphasis DSC):

She says IBM is on track to meet her promise to investors, made last year, of hitting $40 billion worth of revenue in a bunch of new and more profitable markets by 2018.

These include big data/analytics, cloud computing, security, social and mobile. The company has already hit $29 billion in these “strategic imperative” areas, and they are now 36% of IBM’s $82 billion of revenue, she said.

These new markets, which IBM calls “decision support” represent a $2 trillion market. Plus IBM sees a bunch of other growth markets.

1. Machine learning (which IBM calls ‘cognitive computing”) is at the heart of the $2 trillion market IBM sees developing by 2025. This is where smart computers that can learn, can understand all kinds of data (even audio, photos, videos), reason, talk, make decisions and learn.

Companies will use this to make all of their important decisions she believes. And it will be used to solve other problems like managing and curing illness. Watson is already being used by medical device manufacturer Medtronic to help patients predict dangerous low-blood sugar events up to two hours before they occur.

Decision support will create $2 trillion worth of IT spending beyond the $1 trillion companies already spend on software, services and hardware.

We can do nothing to change the past, but we have enormous power to shape the future. Once we grasp that essential insight, we recognize our responsibility and capability for building our dreams of tomorrow and avoiding our nightmares.

–Edward Cornish

From DSC:
This posting represents Part III in a series of such postings that illustrate how quickly things are moving (Part I and Part II) and to ask:

How do we collectively start talking about the future that we want?
Then, how do we go about creating our dreams, not our nightmares?
Most certainly, governments will be involved….but who else should be involved?

As I mentioned in Part I, I want to again refer to Gerd Leonhard’s work as it is relevant here, Gerd asserts:

I believe we urgently need to start debating and crafting a global Digital Ethics Treaty. This would delineate what is and is not acceptable under different circumstances and conditions, and specify who would be in charge of monitoring digressions and aberrations.

Looking at several items below, ask yourself…is this the kind of future that we want? There are some things mentioned below that could likely prove to be very positive and helpful. However, there are also some very troubling advancements and developments as well.

The point here is that we had better start talking and discussing the pros and cons of each one of these areas — and many more I’m not addressing here — or our dreams will turn into our nightmares and we will have missed what Edward Cornish and the World Future Society are often trying to get at.

Google’s Artificial Intelligence System Masters Game of ‘Go’ — from abcnews.go.com by Alyssa Newcomb

Excerpt:

Google just mastered one of the biggest feats in artificial intelligence since IBM’s Deep Blue beat Gary Kasparov at chess in 1997.

The search giant’s AlphaGo computer program swept the European champion of Go, a complex game with trillions of possible moves, in a five-game series, according Demis Hassabis, head of Google’s machine learning, who announced the feat in a blog post that coincided with an article in the journal Nature.

While computers can now compete at the grand master level in chess, teaching a machine to win at Go has presented a unique challenge since the game has trillions of possible moves.

Along these lines, also see:
Mastering the game of go with deep neural networks and tree search — from deepmind.com

Harvard is trying to build artificial intelligence that is as fast as the human brain — from futurism.com
Harvard University and IARPA are working together to study how AI can work as efficiently and effectively as the human brain.

Excerpt:

Harvard University has been given $28M by the Intelligence Advanced Projects Activity (IARPA) to study why the human brain is significantly better at learning and retaining information than artificial intelligence (AI). The investment into this study could potentially help researchers develop AI that’s faster, smarter, and more like human brains.

Digital Ethics: The role of the CIO in balancing the risks and rewards of digital innovation — from mis-asia.com by Kevin Wo; with thanks to Gerd Leonhard for this posting

What is digital ethics?
In our hyper-connected world, an explosion of data is combining with pattern recognition, machine learning, smart algorithms, and other intelligent software to underpin a new level of cognitive computing. More than ever, machines are capable of imitating human thinking and decision-making across a raft of workflows, which presents exciting opportunities for companies to drive highly personalized customer experiences, as well as unprecedented productivity, efficiency, and innovation. However, along with the benefits of this increased automation comes a greater risk for ethics to be compromised and human trust to be broken.

According to Gartner, digital ethics is the system of values and principles a company may embrace when conducting digital interactions between businesses, people and things. Digital ethics sits at the nexus of what is legally required; what can be made possible by digital technology; and what is morally desirable.

As digital ethics is not mandated by law, it is largely up to each individual organisation to set its own innovation parameters and define how its customer and employee data will be used.

New algorithm points the way towards regrowing limbs and organs — from sciencealert.com by David Nield

Excerpt:

An international team of researchers has developed a new algorithm that could one day help scientists reprogram cells to plug any kind of gap in the human body. The computer code model, called Mogrify, is designed to make the process of creating pluripotent stem cells much quicker and more straightforward than ever before.

A pluripotent stem cell is one that has the potential to become any type of specialised cell in the body: eye tissue, or a neural cell, or cells to build a heart. In theory, that would open up the potential for doctors to regrow limbs, make organs to order, and patch up the human body in all kinds of ways that aren’t currently possible.

The world’s first robot-run farm will harvest 30,000 heads of lettuce daily — from techinsider.io by Leanna Garfield

Excerpt (from DSC):

The Japanese lettuce production company Spread believes the farmers of the future will be robots.

So much so that Spread is creating the world’s first farm manned entirely by robots. Instead of relying on human farmers, the indoor Vegetable Factory will employ robots that can harvest 30,000 heads of lettuce every day.

Don’t expect a bunch of humanoid robots to roam the halls, however; the robots look more like conveyor belts with arms. They’ll plant seeds, water plants, and trim lettuce heads after harvest in the Kyoto, Japan farm.

Drone ambulances may just be the future of emergency medical vehicles — from interestingengineering.com by Gabrielle Westfield

Excerpt:

Drones are advancing everyday. They are getting larger, faster and more efficient to control. Meanwhile the medical field keeps facing major losses from emergency response vehicles not being able to reach their destination fast enough. Understandable so, I mean especially in the larger cities where traffic is impossible to move swiftly through. Red flashing lights atop or not, sometimes the roads are just not capable of opening up. It makes total sense that the future of ambulances would be paved in the open sky rather than unpredictable roads.

.

Phone shop will be run entirely by Pepper robots — from telegraph.co.uk by Rhiannon Williams

Excerpt (emphasis DSC):

Creator company SoftBank said it planned to open the pop-up mobile store employing only Pepper robots by the end of March, according to Engadget.

The four foot-tall robots will be on hand to answer questions, provide directions and guide customers in taking out phone contracts until early April. It’s currently unknown what brands of phone Pepper will be selling.

Wise.io introduces first intelligent auto reply functionality for customer support organizations — from consumerelectronicsnet.com
Powered by Machine Learning, Wise Auto Response Frees Up Agent Time, Boosting Productivity, Accelerating Response Time and Improving the Customer Experience

Excerpt:

BERKELEY, CA — (Marketwired) — 01/27/16 — Wise.io, which delivers machine learning applications to help enterprises provide a better customer experience, today announced the availability of Wise Auto Response, the first intelligent auto reply functionality for customer support organizations. Using machine learning to understand the intent of an incoming ticket and determine the best available response, Wise Auto Response automatically selects and applies the appropriate reply to address the customer issue without ever involving an agent. By helping customer service teams answer common questions faster, Wise Auto Response removes a high percentage of tickets from the queue, freeing up agents’ time to focus on more complex tickets and drive higher levels of customer satisfaction.

Video game for treating ADHD looks to 2017 debut — from educationnews.org

Excerpt:

Akili Interactive Labs out of Boston has created a video game that they hope will help treat children diagnosed with attention-deficit hyperactivity disorder by teaching them to focus in a distracting environment.

The game, Project: EVO, is meant to be prescribed to children with ADHD as a medical treatment. And after gaining $30.5 million in funding, investors appear to believe in it. The company plans to use the funding to run clinical trials with plans to gain approval from the US Food and Drug Administration in order to be able to launch the game in late 2017.

Players will enter a virtual world filled with colorful distractions and be required to focus on specific tasks such as choosing certain objects while avoiding others. The game looks to train the portion of the brain designed to manage and prioritize all the information taken in at one time.

Addendum on 1/29/16:

Killer robots are coming but there are no laws about using them — from hackread.com

The coming AI health care boom

On 01/14/2016, in analytics, Artificial Intelligence/Agents/LLMs/and Related, computer science, data related items, emerging technologies, engineering, health, IBM, platforms, programming, robotics, UK, United States, vendors, by Daniel Christian

Paging Dr. Robot: The coming AI health care boom — from fastcompany.com by Sean Captain
Use of artificial intelligence in health care to grow tenfold in 5 years, say analysts—for everything from cancer diagnosis to diet tips.

Excerpt:

More than six billion dollars: That’s how much health care providers and consumers will be spending every year on artificial intelligence tools by 2021—a tenfold increase from today—according to a new report from research firm Frost & Sullivan. (Specifically, it will be a growth from $633.8 million in 2014 to $6,662.2 million in 2021.)
…
Computer-aided diagnosis can weigh more factors than a doctor could on their own, such as reviewing all of a patient’s history in an instant and weighing risk factors such as age, previous diseases, and residence (if it’s in a heavily polluted area) to come up with a short list of possible diagnoses, even a percent confidence rating that it’s disease X or syndrome Y. Much of this involves processing what’s called “unstructured data,” such as notes from previous exams, scan images, or photos. Taking a first pass on x-rays and other radiology scans is one of the big applications for AI that Frost & Sullivan expects.

Babylon, the U.K. digital doctor app, scores $25M to develop AI-driven health advice — from techcrunch.com by Steve O’Hear

Excerpt:

Hot on the heels of PushDoctor’s $8.2 million Series A, another U.K. startup playing in the digital health app space has picked up funding. Babylon Health, which like PushDoctor, lets you have video consultations with a doctor (and a lot more), has raised a $25 million Series A round led by Investment AB Kinnevik, the Swedish listed investment fund.

Under Armour and IBM to transform personal health and fitness, powered by IBM Watson — from ibm.com
New Cognitive Coaching System Will Apply Machine Learning to the World’s Largest Digital Health and Fitness Community

IBM Watson bets $1 billion on healthcare with Merge acquisition — from techrepublic.com by Conner Forrest
[Back in August 2015] IBM ponied up $1 billion for medical imaging company Merge Healthcare. Here’s what it means for the future of IBM’s cognitive computing system.

The emergence of precision algorithms in healthcare — from Gartner

Summary:

Recent announcements that several medical institutions intend to publish extensive portfolios of advanced algorithms via an open marketplace serve as an early indicator that interest in sharing clinical algorithms is increasing. We explore the impact of this trend and offer recommendations to HDOs.

Somewhat related postings:

7 Mind-Blowing Digital Health Tools That Could Disrupt Health Care in 2016 — from huffingtonpost.com
The algorithm will drive digital business in the next wave, says Gartner — from which-50.com by Andrew Birmingham

What are the teaching & learning ramifications of these trends? >> M2M comms, IoT, & “Holograms are coming to a high street near you”

On 01/12/2016, in 21st century, 24x7x365 access, A/V -- audio/visual, active learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), blended learning, Bring your own device (BYOD), Daniel S. Christian, data related items, digital learning, education technology, emerging technologies, experimentation, higher education, human-computer interaction (HCI), hybrid learning, IBM, ideas, innovation, intelligent systems, interactivity, internet, K-12 related, learner profiles, learning agents, learning ecosystem, learning hubs & pods & microschooling, learning preferences, learning spaces, machine-to-machine communications, maker movement, more voice more choice more control, participation, passions, personalized/customized learning, platforms, smart classrooms, student-related, teaching & learning, technologies for your home, technology (general), trends, UK, usability, user experience (UX), using teams, Virtual Reality (VR) / worlds / learning, wearables, by Daniel Christian

Holograms are coming to a high street near you — from telegraph.co.uk by Rebecca Burn-Callander
Can you tell what’s real and what’s not?

Excerpt:

Completely realistic holograms, that will be generated when you pass a sensor, are coming to the high street.

Some will be used to advertise, others will have the ability to interact with you, and show you information. In shops, when you find a shirt you like, the technology is now here to bring up a virtual clothes rail showing you that same shirt in a variety of colours, and even tell you which ones are in stock, all using the same jaw-dropping imaging we have previously only experienced wearing 3D glasses at the cinema.

Holograms, augmented reality – which superimposes technology over the real world – and virtual reality (VR), its totally immersive counterpart, are tipped to be the hot trends in retail next year. Pioneers of the technology are set to find increasingly entertaining, useful and commercially viable ways of using it to tempt people into bricks-and-mortar stores, and fight back against the rise of online shopping.

WaveOptics’ technology could bring physical objects, such as books, to life in new ways

Completely realistic holograms, that will be generated when you pass a sensor, are coming to the high street.

From DSC:
What might our learning spaces offer us in the not-too-distant future when:

Sensors are built into most of our wearable devices?
Our BYOD-based devices serve as beacons that use machine-to-machine communications?
When artificial intelligence (AI) gets integrated into our learning spaces?
When the Internet of Things (IoT) trend continues to pick up steam?

Below are a few thoughts/ideas on what might be possible.

A faculty member walks into a learning space, the sensors/beacons communicate with each other, and the sections of lights are turned down to certain levels while the main display is turned on and goes to a certain site (the latter part occurred because the beacons had already authenticated the professor and had logged him or her into the appropriate systems in the background). Personalized settings per faculty member.

A student walks over to Makerspace #1 and receives a hologram that relays some 30,000-foot level instructions on what the initial problem to be solved is about. This has been done using the student’s web-based learner profile — whereby the sensors/beacons communicate who the student is as well as some basic information about what that particular student is interested in. The problem presented takes these things into consideration. (Think IBM Watson, with the focus being able to be directed towards each student.) The student’s interest is piqued, the problem gets their attention, and the stage is set for longer lasting learning. Personalized experiences per student that tap into their passions and their curiosities.

The ramifications of the Internet of Things (IoT) will likely involve the classroom at some point. At least I hope they do. Granted, the security concerns are there, but the IoT wave likely won’t be stopped by security-related concerns. Vendors will find ways to address them, hackers will counter-punch, and the security-related wars will simply move/expand to new ground. But the wave won’t be stopped.

So when we talk about “classrooms of the future,” let’s think bigger than we have been thinking.

ThinkBiggerYet-DanielChristian-August282013

Also see:

What does the Internet of Things mean for meetings? — from meetingsnet.stfi.re by Betsy Bair

Excerpt:

The IoT has major implications for our everyday lives at home, as well as in medicine, retail, offices, factories, worksites, cities, or any structure or facility where people meet and interact.
…
The first application for meetings is the facility where you meet: doors, carpet, lighting, can all be connected to the Internet through sensors. You can begin to track where people are going, but it’s much more granular.
…
Potentially you can walk into a meeting space, it knows it’s you, it knows what you like, so your experience can be customized and personalized.
…
Right now beacons are fairly dumb, but Google and Apple are working on frameworks, building operating systems, that allow beacons to talk to each other.

Addendum on 1/14/16:

Huddle Space Products & Trends for 2016 — from avnetwork.com by Cindy Davis
Excerpt:
“The concept is that you should be able to walk into these rooms, and instead of being left with a black display, maybe a cable on the table, or maybe nothing, and not know what’s going on; what if when you walked into the room, the display was on, and it showed you what meeting room it was, who had the meeting room scheduled, and is it free, can just walk in and I use it, or maybe I am in the wrong room? Let’s put the relevant information up there, and let’s also put up the information on how to connect. Although there’s an HDMI cable at the table, here’s the wireless information to connect.

Wine and technology?! Check these technologies out!

On 01/11/2016, in 21st century, A/V -- audio/visual, analytics, Artificial Intelligence/Agents/LLMs/and Related, data related items, geography / geology, IBM, ideas, innovation, machine-to-machine communications, multi-touch, technology (general), user experience (UX), vendors, by Daniel Christian

How IBM is Bringing Watson to Wine — from fortune.com by Jonathan Vanian
IBM helped the E.&J. Gallo Winery build an irrigation system that taps Jeopardy-winning technology to more efficiently water grapevines.

Excerpt (emphasis DSC):

IBM’s Watson super computer is learning to become a master winemaker.

At a vast vineyard outside Modesto, Calif., E&J Gallo Winery is testing a new irrigation system developed with IBM to grow grapes using less water. The plan is to eventually apply the lessons learned to Watson so that IBM’s data crunching technology can help farmers around the world.

Cutting water use can save huge amounts of money in the agriculture industry. It can also play a big role in water conservation, especially during droughts like the one that has plagued California for several years.

JCB tasting salon: A revolutionary wine tasting experience — from ideum.com

Excerpt:

Ideum, in collaboration with JCB by Jean-Charles Boisset, introduces an innovative new way to experience the exclusive wines within the JCB Collection, using state-of-the-art Ideum multitouch tables that digitally identify the placement of wine glasses. The full wine-tasting experience takes a group of four visitors through a flight of five wines. As new wines are introduced to the touch table, the visitors share a cinematic presentation introducing each wine. As visitors continue to taste each wine, they can access personalized tasting notes and additional information. The interactive experience takes between 40 minutes and an hour to complete.

Is the next Uber coming your way? — from ibm.com IBM’s Global C-suite Study

Excerpt:

This report is IBM’s second study of the entire C-suite and the eighteenth in the ongoing series of CxO studies developed by the IBM Institute for Business Value. We now have data from more than 28,000 interviews stretching back to 2003. Our latest study draws on input from:

Chief Executive Officers (CEOs): 818
Chief Finance Officers (CFOs): 643
Chief Human Resources Officers (CHROs): 601
Chief Information Officers (CIOs): 1,805
Chief Marketing Officers (CMOs): 723
Chief Operating Officers (COOs): 657

…

Innovations that harness new technologies or business models, or exploit old technologies in new ways, are emerging on an almost daily basis. And the most disruptive enterprises don’t gradually displace the incumbents; they reshape entire industries, swiftly obliterating whatever stands in their way. So how are C-suite executives (CxOs) tackling the threat of competition from companies in other sectors or with very different business models? Our latest study explores what they think the future holds, how they’re identifying new trends and how they’re positioning their organizations to prosper in the “age of disruption.”

From DSC:
Is looking out for the next Uber just something that corporations/businesses should be doing? Isn’t this true for us as individuals as well? That is, aren’t our jobs/positions vulnerable to disruption as well? As our organizations go, so we often go. As such, should we leave the pulse checking to others or should we be developing these types of skills ourselves? That is, shouldn’t our own gazes be set on the horizons so that we aren’t broadsided as individuals?

Given the pace of change and given that more of us are freelancing, this is why I think that we need more such training within K-12 and higher education — programs that focus on pulse checking a variety of landscapes. Futurism is not gazing into some magic ball; such skills can be useful today.

DanielChristian-MonitoringTrends

Learning Ecosystems

Is the next Uber coming your way? [IBM’s Global C-suite Study]

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