From DSC:
First of all, a couple of articles:

This futuristic driverless pod will soon be delivering pizza in Texas — from digitaltrends.com by Trevor Mogg

Excerpt:

Global pizza purveyor Domino’s is planning to use self-driving pods to deliver its cheesy meals to hungry customers. The food company is partnering with California-based tech startup Nuro for a trial service in Houston, Texas later this year.

 

 

Amazon is creating detailed 3D models of suburbia to train its new delivery robots — from theverge.com by James Vincent
‘Eventually, we’ll be delivering around the world.’

 

 

From DSC:
Instead of Amazon having their army of robots/drones, Domino’s having their army of driverless pods, etc…perhaps we should think about how we want this all to unfold in the future — especially with an eye on what the world will be like for future generations.

 

“The company won’t say where or when it plans to expand these tests…”

 

From DSC:
It should NOT be Amazon’s decision (nor Domino’s decision, nor any other company’s decision) to expand any tests here! It should be up to citizens to weigh in on what we want our future to look like before any such endeavors are allowed to move forward another inch.

 

The World’s First Full in VR Semester Course Taught by Survios CTO — from medium.com by Rahel Demant

Excerpt:

VR First is excited to announce its strategic partnership with Axon Park?—?the world’s first educational campus in VR. To kick things off, they are running a full semester course taught in VR. Launching this fall, the course will teach expert-level Unreal Engine VR development, taught remotely by Survios CTO and Co-Founder Alex Silkin with support from the Unreal Engine team.

To enable Axon Park’s commitment to diversity and inclusion through immersive education, VR First has signed a strategic partnership with Axon Park, an organization which maintains the largest network of VR lab enabled universities and science parks internationally. Together, Axon Park and VR First are announcing a needs-based scholarship program that will provide students with low cost or free access to VR hardware and resources through their partner network of 850 universities. With their expertise in VR/AR workforce education and regional tech cluster facilities, VR First is the international distribution partner for Axon Park training solutions to universities, businesses and governments.

 

 

Also see:

Axon Park -- in fall 2019, delivering the world’s first full in VR semester course

 

 

Amy Peck (EndeavorVR) on enterprises’ slow adoption of AR and the promise in education — from thearshow.com by Jason McDowall

Description:

In this conversation, Amy and [Jason McDowall] discuss the viability of the location-based VR market and the potential for AR & VR in childhood education.

We get into the current opportunities and challenges in bringing spatial computing to the enterprise. One of these challenges is the difficulty in explaining a technology that needs to be directly experienced, so much so that Amy now insists C-level executives put on a headset as a first step in the consulting process.

We also talk about VR & AR in healthcare, and the potential impact of blockchain technology.

Fast forward to 29:15 or so for the piece
of this podcast that relates to education.

Also see:

Reality Check: The marvel of computer vision technology in today’s camera-based AR systems — from arvrjourney.com by Alex Chuang
How does mobile AR work today and how will it work tomorrow

Excerpt:

AR experiences can seem magical but what exactly is happening behind the curtain? To answer this, we must look at the three basic foundations of a camera-based AR system like our smartphone.

  • How do computers know where it is in the world? (Localization + Mapping)
  • How do computers understand what the world looks like? (Geometry)
  • How do computers understand the world as we do? (Semantics)

 

 

From DSC:
I just ran across this recently…what do you think of it?!

 

 

From DSC:
For me, this is extremely disturbing. And if I were a betting man, I’d wager that numerous nations/governments around the world — most certainly that includes the U.S. — have been developing new weapons of warfare for years that are based on artificial intelligence, robotics, automation, etc.

The question is, now what do we do?

Some very hard questions that numerous engineers and programmers need to be asking themselves these days…

By the way, the background audio on the clip above should either be non-existent or far more ominous — this stuff is NOT a joke.

Also see this recent posting. >>

 

Addendum on 6/26/19:

 

Experts in machine learning and military technology say it would be technologically straightforward to build robots that make decisions about whom to target and kill without a “human in the loop” — that is, with no person involved at any point between identifying a target and killing them. And as facial recognition and decision-making algorithms become more powerful, it will only get easier.

 

 

 

 Also see:

Microsoft is building a virtual assistant for work. Google is building one for everything else — from qz.com by Dave Gershgorn

Excerpts:

In the early days of virtual personal assistants, the goal was to create a multipurpose digital buddy—always there, ready to take on any task. Now, tech companies are realizing that doing it all is too much, and instead doubling down on what they know best.

Since the company has a deep understanding of how organizations work, Microsoft is focusing on managing your workday with voice, rearranging meetings and turning the dials on the behemoth of bureaucracy in concert with your phone.

 

Voice is the next major platform, and being first to it is an opportunity to make the category as popular as Apple made touchscreens. To dominate even one aspect of voice technology is to tap into the next iteration of how humans use computers.

 

 

From DSC:
What affordances might these developments provide for our future learning spaces?

Will faculty members’ voices be recognized to:

  • Sign onto the LMS?
  • Dim the lights?
  • Turn on the projector(s) and/or display(s)?
  • Other?

Will students be able to send the contents of their mobile devices to particular displays via their voices?

Will voice be mixed in with augmented reality (i.e., the students and their devices can “see” which device to send their content to)?

Hmmm…time will tell.

 

 

5G and the tactile internet: what really is it? — from techradar.com by Catherine Ellis
With 5G, we can go beyond audio and video, communicating through touch

Excerpt:

However, the speed and capacity of 5G also opens up a wealth of new opportunities with other connected devices, including real-time interaction in ways that have never been possible before.

One of the most exciting of these is tactile, or haptic communication – transmitting a physical sense of touch remotely.

 
 

Is your college future-ready? — from jisc.ac.uk by Robin Ghurbhurun

Excerpt:

Artificial intelligence (AI) is increasingly becoming science fact rather than science fiction. Alexa is everywhere from the house to the car, Siri is in the palm of your hand and students and the wider community can now get instant responses to their queries. We as educators have a duty to make sense of the information out there, working alongside AI to facilitate students’ curiosities.

Instead of banning mobile phones on campus, let’s manage our learning environments differently

We need to plan strategically to avoid a future where only the wealthy have access to human teachers, whilst others are taught with AI. We want all students to benefit from both. We should have teacher-approved content from VLEs and AI assistants supporting learning and discussion, everywhere from the classroom to the workplace. Let’s learn from the domestic market; witness the increasing rise of co-bot workers coming to an office near you.

 

 

Stanford team aims at Alexa and Siri with a privacy-minded alternative — from nytimes.com by John Markoff

Excerpt:

Now computer scientists at Stanford University are warning about the consequences of a race to control what they believe will be the next key consumer technology market — virtual assistants like Amazon’s Alexa and Google Assistant.

The group at Stanford, led by Monica Lam, a computer systems designer, last month received a $3 million grant from the National Science Foundation. The grant is for an internet service they hope will serve as a Switzerland of sorts for systems that use human language to control computers, smartphones and internet devices in homes and offices.

The researchers’ biggest concern is that virtual assistants, as they are designed today, could have a far greater impact on consumer information than today’s websites and apps. Putting that information in the hands of one big company or a tiny clique, they say, could erase what is left of online privacy.

 

Amazon sends Alexa developers on quest for ‘holy grail of voice science’ — from venturebeat.com by Khari Johnson

Excerpt:

At Amazon’s re:Mars conference last week, the company rolled out Alexa Conversations in preview. Conversations is a module within the Alexa Skills Kit that stitches together Alexa voice apps into experiences that help you accomplish complex tasks.

Alexa Conversations may be Amazon’s most intriguing and substantial pitch to voice developers in years. Conversations will make creating skills possible with fewer lines of code. It will also do away with the need to understand the many different ways a person can ask to complete an action, as a recurrent neural network will automatically generate dialogue flow.

For users, Alexa Conversations will make it easier to complete tasks that require the incorporation of multiple skills and will cut down on the number of interactions needed to do things like reserve a movie ticket or order food.

 

 
 

Are we there yet? Impactful technologies and the power to influence change — from campustechnology.com by Mary Grush and Ellen Wagner

Excerpt:

Learning analytics, augmented reality, artificial intelligence, and other new and emerging technologies seem poised to change the business of higher education — yet, we often hear comments like “We’re just not there yet…” or “This is a technology that is just too slow to adoption…” or other observations that make it clear that many people — including those with a high level of expertise in education technology — are thinking that the promise is not yet fulfilled. Here, CT talks with veteran education technology leader Ellen Wagner, to ask for her perspectives on the adoption of impactful technologies — in particular the factors in our leadership and development communities that have the power to influence change.

 

 

9 amazing uses for VR and AR in college classrooms — from campustechnology.com by Dian Schaffhauser
Immersive technologies can help students understand theoretical concepts more easily, prepare them for careers through simulated experiences and keep them engaged in learning.

Excerpt:

Immersive reality is bumping us into the deep end, virtually speaking. Colleges and universities large and small are launching new labs and centers dedicated to research on the topics of augmented reality, virtual reality and 360-degree imaging. The first academic conference held completely in virtual reality recently returned for its second year, hosted on Twitch by Lethbridge College in Alberta and Centennial College in Toronto. Majors in VR and AR have begun popping up in higher education across the United States, including programs at the Savannah School of Design (GA), Shenandoah University (VA) and Drexel University Westphal (PA). Educause experts have most recently positioned the timing for broad adoption of these technologies in education at the two-year to three-year horizon. And Gartner has predicted that by the year 2021, 60 percent of higher education institutions in the United States will “intentionally” be using VR to create simulations and put students into immersive environments.

If you haven’t already acquired your own headset or applied for a grant from your institution to test out AR or VR for instruction, it’s time. We’ve done a scan of some of the most interesting projects currently taking place in American classrooms to help you imagine the virtual possibilities.

 


 

 

8 industrial IoT trends of 2019 that cannot be ignored — from datafloq.com

Excerpt:

From manufacturing to the retail sector, the infinite applications of the industrial internet of things are disrupting business processes, thereby improving operational efficiency and business competitiveness. The trend of employing IoT-powered systems for supply chain management, smart monitoring, remote diagnosis, production integration, inventory management, and predictive maintenance is catching up as companies take bold steps to address a myriad of business problems.

No wonder, the global technology spend on IoT is expected to reach USD 1.2 trillion by 2022. The growth of this segment will be driven by firms deploying IIoT solutions and giant tech organizations who are developing these innovative solutions.

To help you stay ahead of the curve, we have enlisted a few trends that will dominate the industrial IoT sphere.

 

5. 5G Will Drive Real-Time IIoT Applications
5G deployments are digitizing the industrial domain and changing the way enterprises manage their business operations. Industries, namely transportation, manufacturing, healthcare, energy and utilities, agriculture, retail, media, and financial services will benefit from the low latency and high data transfer speed of 5G mobile networks.

 

10 things we should all demand from Big Tech right now — from vox.com by Sigal Samuel
We need an algorithmic bill of rights. AI experts helped us write one.

We need an algorithmic bill of rights. AI experts helped us write one.

Excerpts:

  1. Transparency: We have the right to know when an algorithm is making a decision about us, which factors are being considered by the algorithm, and how those factors are being weighted.
  2. Explanation: We have the right to be given explanations about how algorithms affect us in a specific situation, and these explanations should be clear enough that the average person will be able to understand them.
  3. Consent: We have the right to give or refuse consent for any AI application that has a material impact on our lives or uses sensitive data, such as biometric data.
  4. Freedom from bias: We have the right to evidence showing that algorithms have been tested for bias related to race, gender, and other protected characteristics — before they’re rolled out. The algorithms must meet standards of fairness and nondiscrimination and ensure just outcomes. (Inserted comment from DSC: Is this even possible? I hope so, but I have my doubts especially given the enormous lack of diversity within the large tech companies.)
  5. Feedback mechanism: We have the right to exert some degree of control over the way algorithms work.
  6. Portability: We have the right to easily transfer all our data from one provider to another.
  7. Redress: We have the right to seek redress if we believe an algorithmic system has unfairly penalized or harmed us.
  8. Algorithmic literacy: We have the right to free educational resources about algorithmic systems.
  9. Independent oversight: We have the right to expect that an independent oversight body will be appointed to conduct retrospective reviews of algorithmic systems gone wrong. The results of these investigations should be made public.
  10. Federal and global governance: We have the right to robust federal and global governance structures with human rights at their center. Algorithmic systems don’t stop at national borders, and they are increasingly used to decide who gets to cross borders, making international governance crucial.

 

This raises the question: Who should be tasked with enforcing these norms? Government regulators? The tech companies themselves?

 

 
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