A smorgasboard of ideas to put on your organization’s radar! [Christian]

From DSC:
At the Next Generation Learning Spaces Conference, held recently in San Diego, CA, I moderated a panel discussion re: AR, VR, and MR.  I started off our panel discussion with some introductory ideas and remarks — meant to make sure that numerous ideas were on the radars at attendees’ organizations. Then Vinay and Carrie did a super job of addressing several topics and questions (Mary was unable to make it that day, as she got stuck in the UK due to transportation-related issues).

That said, I didn’t get a chance to finish the second part of the presentation which I’ve listed below in both 4:3 and 16:9 formats.  So I made a recording of these ideas, and I’m relaying it to you in the hopes that it can help you and your organization.

 


Presentations/recordings:


 

Audio/video recording (187 MB MP4 file)

 

 


Again, I hope you find this information helpful.

Thanks,
Daniel

 

 

 

SXSW Announces Winners for 2017 Accelerator Pitch Event — from prnewswire.com
Pitch competition showcased global startups featuring cutting-edge innovation in 10 technology categories

Excerpt:

The winners of the 2017 SXSW Accelerator Pitch Event are:

 

 

 

 

 

Summer 2017 Human++ — fromcambridge.nuvustudio.com
Human-Machine Intelligence, Hacking Drones, Bio Fashion, Augmented Video Games, Aerial Filmmaking, Smart Tools, Soft Robotics and more!

Excerpt:

NuVu is a place where young students grow their spirit of innovation. They use their curiosity and creativity to explore new ideas, and make their concepts come to life through our design process. Our model is based on the architecture studio model, and every Summer we use imaginative themes to frame two-week long Studios in which students dive into hands-on design, engineering, science, technology, art and more!

 

 

From DSC:
Given the exponential pace of technological change that many societies throughout the globe are now on, we need some tools to help us pulse-check what’s going on in the relevant landscapes that we are trying to scan.


 

 

 

 

 

 

 

 

 

 


Below, I would like to suggest 2 methods/tools to do this.  I have used both methods for years, and I have found them to be immensely helpful in pulse-checking the landscapes. Perhaps these tools will be helpful to you — or to your students or employees — as well.  I vote for these 2 tools to be a part of all of our learning ecosystems. (And besides, they also encourage micro-learning while helping us spot emerging trends.)


 

Google Alerts

 

 

Feedly.com

 

 

 

 

Infected Vending Machines And Light Bulbs DDoS A University — from forbes.com by Lee Mathews; with a shout out to eduwire for this resource

Excerpt:

IoT devices have become a favorite weapon of cybercriminals. Their generally substandard security — and the sheer numbers of connected devices — make them an enticing target. We’ve seen what a massive IoT botnet is capable of doing, but even a relatively small one can cause a significant amount of trouble.

A few thousand infected IoT devices can cut a university off from the Internet, according to an incident that the Verizon RISK (Research, Investigations, Solutions and Knowledge) team was asked to assist with. All the attacker had to do was re-program the devices so they would periodically try to connect to seafood-related websites.

How can that simple act grind Internet access to a halt across an entire university network? By training around 5,000 devices to send DNS queries simultaneously…

 

 

Hackers Use New Tactic at Austrian Hotel: Locking the Doors — from nytimes.com by Dan Bilefskyjan

Excerpt:

The ransom demand arrived one recent morning by email, after about a dozen guests were locked out of their rooms at the lakeside Alpine hotel in Austria.

The electronic key system at the picturesque Romantik Seehotel Jaegerwirt had been infiltrated, and the hotel was locked out of its own computer system, leaving guests stranded in the lobby, causing confusion and panic.

“Good morning?” the email began, according to the hotel’s managing director, Christoph Brandstaetter. It went on to demand a ransom of two Bitcoins, or about $1,800, and warned that the cost would double if the hotel did not comply with the demand by the end of the day, Jan. 22.

Mr. Brandstaetter said the email included details of a “Bitcoin wallet” — the account in which to deposit the money — and ended with the words, “Have a nice day!”

 

“Ransomware is becoming a pandemic,” said Tony Neate, a former British police officer who investigated cybercrime for 15 years. “With the internet, anything can be switched on and off, from computers to cameras to baby monitors.”

 

To guard against future attacks, however, he said the Romantik Seehotel Jaegerwirt was considering replacing its electronic keys with old-fashioned door locks and real keys of the type used when his great-grandfather founded the hotel. “The securest way not to get hacked,” he said, “is to be offline and to use keys.”

 

 

 

Regulation of the Internet of Things — from schneier.com by Bruce Schneier

Excerpt (emphasis DSC):

Late last month, popular websites like Twitter, Pinterest, Reddit and PayPal went down for most of a day. The distributed denial-of-service attack that caused the outages, and the vulnerabilities that made the attack possible, was as much a failure of market and policy as it was of technology. If we want to secure our increasingly computerized and connected world, we need more government involvement in the security of the “Internet of Things” and increased regulation of what are now critical and life-threatening technologies. It’s no longer a question of if, it’s a question of when.

The technical reason these devices are insecure is complicated, but there is a market failure at work. The Internet of Things is bringing computerization and connectivity to many tens of millions of devices worldwide. These devices will affect every aspect of our lives, because they’re things like cars, home appliances, thermostats, light bulbs, fitness trackers, medical devices, smart streetlights and sidewalk squares. Many of these devices are low-cost, designed and built offshore, then rebranded and resold. The teams building these devices don’t have the security expertise we’ve come to expect from the major computer and smartphone manufacturers, simply because the market won’t stand for the additional costs that would require. These devices don’t get security updates like our more expensive computers, and many don’t even have a way to be patched. And, unlike our computers and phones, they stay around for years and decades.

An additional market failure illustrated by the Dyn attack is that neither the seller nor the buyer of those devices cares about fixing the vulnerability. The owners of those devices don’t care. They wanted a webcam —­ or thermostat, or refrigerator ­— with nice features at a good price. Even after they were recruited into this botnet, they still work fine ­— you can’t even tell they were used in the attack. The sellers of those devices don’t care: They’ve already moved on to selling newer and better models. There is no market solution because the insecurity primarily affects other people. It’s a form of invisible pollution.

 

 

From DSC:
We have to do something about these security-related issues — now!  If not, you can kiss the Internet of Things goodbye — or at least I sure hope so. Don’t get me wrong. I’d like to the the Internet of Things come to fruition in many areas. However, if governments and law enforcement agencies aren’t going to get involved to fix the problems, I don’t want to see the Internet of Things take off.  The consequences of not getting this right are too huge — with costly ramifications.  As Bruce mentions in his article, it will likely take government regulation before this type of issue goes away.

 

 

Regardless of what you think about regulation vs. market solutions, I believe there is no choice. Governments will get involved in the IoT, because the risks are too great and the stakes are too high. Computers are now able to affect our world in a direct and physical manner.

Bruce Schneier

 

 

 



Addendum on 2/15/17:

I was glad to learn of the following news today:

  • NXP Unveils Secure Platform Solution for the IoT — from finance.yahoo.com
    Excerpt:
    SAN FRANCISCO, Feb. 13, 2017 (GLOBE NEWSWIRE) — RSA Conference 2017 – Electronic security and trust are key concerns in the digital era, which are magnified as everything becomes connected in the Internet of Things (IoT). NXP Semiconductors N.V. (NXPI) today disclosed details of a secure platform for building trusted connected products. The QorIQ Layerscape Secure Platform, built on the NXP trust architecture technology, enables developers of IoT equipment to easily build secure and trusted systems. The platform provides a complete set of hardware, software and process capabilities to embed security and trust into every aspect of a product’s life cycle.Recent security breaches show that even mundane devices like web-cameras or set-top boxes can be used to both attack the Internet infrastructure and/or spy on their owners. IoT solutions cannot be secured against such misuse unless they are built on technology that addresses all aspects of a secure and trusted product lifecycle. In offering the Layerscape Secure Platform, NXP leverages decades of experience supplying secure embedded systems for military, aerospace, and industrial markets.

 

 

Code-Dependent: Pros and Cons of the Algorithm Age — from pewinternet.org by Lee Rainie and Janna Anderson
Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could result in greater unemployment

Excerpt:

Algorithms are instructions for solving a problem or completing a task. Recipes are algorithms, as are math equations. Computer code is algorithmic. The internet runs on algorithms and all online searching is accomplished through them. Email knows where to go thanks to algorithms. Smartphone apps are nothing but algorithms. Computer and video games are algorithmic storytelling. Online dating and book-recommendation and travel websites would not function without algorithms. GPS mapping systems get people from point A to point B via algorithms. Artificial intelligence (AI) is naught but algorithms. The material people see on social media is brought to them by algorithms. In fact, everything people see and do on the web is a product of algorithms. Every time someone sorts a column in a spreadsheet, algorithms are at play, and most financial transactions today are accomplished by algorithms. Algorithms help gadgets respond to voice commands, recognize faces, sort photos and build and drive cars. Hacking, cyberattacks and cryptographic code-breaking exploit algorithms. Self-learning and self-programming algorithms are now emerging, so it is possible that in the future algorithms will write many if not most algorithms.

Algorithms are often elegant and incredibly useful tools used to accomplish tasks. They are mostly invisible aids, augmenting human lives in increasingly incredible ways. However, sometimes the application of algorithms created with good intentions leads to unintended consequences. Recent news items tie to these concerns…

 

The use of algorithms is spreading as massive amounts of data are being created, captured and analyzed by businesses and governments. Some are calling this the Age of Algorithms and predicting that the future of algorithms is tied to machine learning and deep learning that will get better and better at an ever-faster pace.

 

 

 

 

 

 

The case for digital reinvention — from mckinsey.com
Digital technology, despite its seeming ubiquity, has only begun to penetrate industries. As it continues its advance, the implications for revenues, profits, and opportunities will be dramatic.

Excerpt:

In the quest for coherent responses to a digitizing world, companies must assess how far digitization has progressed along multiple dimensions in their industries and the impact that this evolution is having—and will have—on economic performance. And they must act on each of these dimensions with bold, tightly integrated strategies. Only then will their investments match the context in which they compete.

 

 

 

 

 

 

 

Per X Media Lab:

The authoritative CB Insights lists imminent Future Tech Trends: customized babies; personalized foods; robotic companions; 3D printed housing; solar roads; ephemeral retail; enhanced workers; lab-engineered luxury; botroots movements; microbe-made chemicals; neuro-prosthetics; instant expertise; AI ghosts. You can download the whole outstanding report here (125 pgs).

 

From DSC:
Though I’m generally pro-technology, there are several items in here which support the need for all members of society to be informed and have some input into if and how these technologies should be used. Prime example: Customized babies.  The report discusses the genetic modification of babies: “In the future, we will choose the traits for our babies.” Veeeeery slippery ground here.

 

Below are some example screenshots:

 

 

 

 

 

 

 

 

 

Also see:

CBInsights — Innovation Summit

  • The New User Interface: The Challenge and Opportunities that Chatbots, Voice Interfaces and Smart Devices Present
  • Fusing the physical, digital and biological: AI’s transformation of healthcare
  • How predictive algorithms and AI will rule financial services
  • Autonomous Everything: How Connected Vehicles Will Change Mobility and Which Companies Will Own this Future
  • The Next Industrial Age: The New Revenue Sources that the Industrial Internet of Things Unlocks
  • The AI-100: 100 Artificial Intelligence Startups That You Better Know
  • Autonomous Everything: How Connected Vehicles Will Change Mobility and Which Companies Will Own this Future

 

 

 
 

Robots will take jobs, but not as fast as some fear, new report says — from nytimes.com by Steve Lohr

 

Excerpt:

The robots are coming, but the march of automation will displace jobs more gradually than some alarming forecasts suggest.

A measured pace is likely because what is technically possible is only one factor in determining how quickly new technology is adopted, according to a new study by the McKinsey Global Institute. Other crucial ingredients include economics, labor markets, regulations and social attitudes.

The report, which was released Thursday, breaks jobs down by work tasks — more than 2,000 activities across 800 occupations, from stock clerk to company boss. The institute, the research arm of the consulting firm McKinsey & Company, concludes that many tasks can be automated and that most jobs have activities ripe for automation. But the near-term impact, the report says, will be to transform work more than to eliminate jobs.

 

So while further automation is inevitable, McKinsey’s research suggests that it will be a relentless advance rather than an economic tidal wave.

 

 

Harnessing automation for a future that works — from mckinsey.com by James Manyika, Michael Chui, Mehdi Miremadi, Jacques Bughin, Katy George, Paul Willmott, and Martin Dewhurst
Automation is happening, and it will bring substantial benefits to businesses and economies worldwide, but it won’t arrive overnight. A new McKinsey Global Institute report finds realizing automation’s full potential requires people and technology to work hand in hand.

Excerpt:

Recent developments in robotics, artificial intelligence, and machine learning have put us on the cusp of a new automation age. Robots and computers can not only perform a range of routine physical work activities better and more cheaply than humans, but they are also increasingly capable of accomplishing activities that include cognitive capabilities once considered too difficult to automate successfully, such as making tacit judgments, sensing emotion, or even driving. Automation will change the daily work activities of everyone, from miners and landscapers to commercial bankers, fashion designers, welders, and CEOs. But how quickly will these automation technologies become a reality in the workplace? And what will their impact be on employment and productivity in the global economy?

The McKinsey Global Institute has been conducting an ongoing research program on automation technologies and their potential effects. A new MGI report, A future that works: Automation, employment, and productivity, highlights several key findings.

 

 



Also related/see:

This Japanese Company Is Replacing Its Staff With Artificial Intelligence — from fortune.com by Kevin Lui

Excerpt:

The year of AI has well and truly begun, it seems. An insurance company in Japan announced that it will lay off more than 30 employees and replace them with an artificial intelligence system.  The technology will be based on IBM’s Watson Explorer, which is described as having “cognitive technology that can think like a human,” reports the Guardian. Japan’s Fukoku Mutual Life Insurance said the new system will take over from its human counterparts by calculating policy payouts. The company said it hopes the AI will be 30% more productive and aims to see investment costs recouped within two years. Fukoku Mutual Life said it expects the $1.73 million smart system—which costs around $129,000 each year to maintain—to save the company about $1.21 million each year. The 34 staff members will officially be replaced in March.

 


Also from “The Internet of Everything” report in 2016 by BI Intelligence:

 

 


 

A Darker Theme in Obama’s Farewell: Automation Can Divide Us — from nytimes.com by Claire Cain Miller

Excerpt:

Underneath the nostalgia and hope in President Obama’s farewell address Tuesday night was a darker theme: the struggle to help the people on the losing end of technological change.

“The next wave of economic dislocations won’t come from overseas,” Mr. Obama said. “It will come from the relentless pace of automation that makes a lot of good, middle-class jobs obsolete.”


Artificial Intelligence, Automation, and the Economy — from whitehouse.gov by Kristin Lee

Summary:
[On 12/20/16], the White House released a new report on the ways that artificial intelligence will transform our economy over the coming years and decades.

 Although it is difficult to predict these economic effects precisely, the report suggests that policymakers should prepare for five primary economic effects:

    Positive contributions to aggregate productivity growth;
Changes in the skills demanded by the job market, including greater demand for higher-level technical skills;
Uneven distribution of impact, across sectors, wage levels, education levels, job types, and locations;
Churning of the job market as some jobs disappear while others are created; and
The loss of jobs for some workers in the short-run, and possibly longer depending on policy responses.


 
© 2016 Learning Ecosystems